3 Ways Intelligent Analytics Can Improve Patient Outcomes in Healthcare

Hartford HealthCare, a comprehensive and integrated healthcare system serving more than 17,000 people daily across its 400 locations, recently announced its decision to launch a novel research initiative with Ibex Medical Analytics.

Ibex is the pioneer in AI-powered cancer diagnostics and will use its AI solution ‘the Galen Breast’ to help cancer diagnosis and improve patient care.

This initiative is a natural progression in Hartford HealthCare’s ongoing digital transformation. The AI assistant could provide a greater safety net with minimal effort when pathologist staffing and recruitment are becoming more challenging due to the fast-increasing number of cancer cases. The initiative underlines the growing importance of intelligent analytics in improving diagnostics and patient care.

While everyone agrees on the importance of good health care, medication errors alone cost about US$ 42 billion each year. 4 out of 10 patients suffer during primary and ambulatory healthcare, and often, these errors are related to diagnosis, prescription, and use of medicines. Healthcare experts believe patient engagement is the key to safer healthcare and can reduce the harm and the subsequent cost by up to 15% annually.

The growing concerns in the healthcare industry have put the spotlight on intelligent analytics to help clinicians and caregivers improve patient outcomes.

Intelligent diagnostics rely on Artificial Intelligence to create new pathways for healthcare

Due to its ability to analyze massive amounts of data with efficiency and accuracy, AI plays a transformative role in healthcare. It paves the path for analytics. It empowers healthcare professionals with clinically-relevant insights to diagnose diseases correctly. Artificial Intelligence is now part of the everyday workflows of top healthcare organizations. No wonder AI spending in the healthcare and pharmaceutical industries is predicted to surge.

From US$ 463 million in 2019 to US$ 2 billion in 5 years, the growth is being attributed to the vital role AI has been playing during the pandemic. Companies like Alibaba, YITU, Graphen, and Google DeepMind have been involved in building tools that could detect the virus and analyze the virus to predict its potential protein structure and track its geographical footprint.

Typically, intelligent analytics helps healthcare companies integrate insights derived from medical device data with patients’ health records to improve workflows and gather evidence of clinical outcomes. Data comes from different sources such as clinics, hospitals, medical insurance, medical equipment, and medical research.

When analytics in tandem with Artificial Intelligence, Machine Learning, and the Internet of Things is applied over big data, it provides actionable insights to make smarter decisions, optimize resources, and offer high-quality patient care. It helps caregivers with the required algorithms to create a value framework for all.

In the healthcare industry, intelligent analytics can be:

  • Descriptive – that examines and describes an event that occurred in the past
  • Diagnostic – that looks into the factors that caused the event
  • Predictive – that analyzes trends and historical data to predict such events
  • Prescriptive – that outlines the actions to be taken to prevent such events and attain future goals efficiently

Connecting the dots in healthcare with intelligent analytics

Intelligent analytics works for diverse use cases in healthcare, including early detection, identifying at-risk patients, preventing equipment downtime, and improving patient outcomes. It accelerates decision-making radically since caregivers have access to the necessary information.

Would surgery lead to any complications? If complications arise, would the patient be able to survive them? What are the odds of a patient getting readmitted to the intensive care unit after showing recovery symptoms?

These questions can be daunting, but analytics has all the answers!

While clinicians have been making quick choices in times of uncertainty, intelligent analytics allows them to make informed decisions. It provides predictive algorithms, and organizations are quick to acknowledge its benefits. As per a survey, 42 percent of those who embraced it have seen improvement in patient satisfaction, while 39 percent have seen significant cost savings.

Let’s look at the top applications to understand why intelligent analytics is an absolute must for the healthcare sector.

Early detection of anomalies in scans

The global anomaly detection market is up for massive growth, with its value predicted to touch US$ 8.6 billion by 2026. Also called outlier detection, it points out events and instances that seem suspicious compared to the rest of the data. In healthcare parlance, detecting anomalies early on can help prevent insurance fraud. It allows clinicians to differentiate the normal from the abnormal based on algorithms derived from data.

Especially when different anomalies exist, anomaly detection plays a critical role in ensuring accurate diagnosis.

AI company InformAI is highly focused on healthcare, offering products that improve radiologist productivity. One of the leading medical imaging companies developed AI-enabled image classifiers and patient outcome predictors to speed up medical diagnosis at the point of care. With access to colossal medical datasets, the company comes with key differentiators.

Services facilitating early detection of anomalies offer:

  • Direct access to the best medical experts and proprietary AI data augmentation
  • Model Optimization
  • 3D neural network toolsets

Precision medicine

The precision medicine market is growing, too, as it continues to transform the healthcare business. It involves a thorough examination of patient-specific data that plays a pivotal role in identifying and treating diseases. Even though it is a relatively new strategy, it is expected to touch US$ 278.61 billion by the end of 2030.

It is growing at a CAGR of 11.13% for the forecast period from 2020-to 2030, enabling ground-breaking research and treatments. It investigates a variety of illnesses by analyzing the genetic composition of patients and then creating a customized treatment plan for each patient.

Genoox, the company attempting to build the largest, most diverse real-world evidence dataset to provide answers to any genomic question, is making an impact with the most up-to-date genetic information. It helps healthcare professionals with precision insights to personalize treatments by translating genomic data into accurate, actionable insights at the point of care. It attempts to uncover the unknown with AI-powered technology to offer a real-world genomic evidence dataset.

Services leveraging genetics in precision medicine help:

  • Identify defects in newborns
  • Assess risks associated with inherited diseases
  • Understand drug prescriptions and dosage
  • Offer targeted therapies

Chronic disease management

The chronic disease management (CDM) market is predicted to reach US$ 14,329.15 million by 2029 as CDM continues to assist individuals impacted by a chronic condition with knowledge, resources, and medical care. The growth can be attributed to the prevalence of chronic diseases that necessitate better solutions and services, the increasing geriatric population, and the rise in chronic diseases.

Chronic disease management leverages artificial intelligence to efficiently process data and respond to it. Remedy Health, a leading AI-powered digital platform committed to empowering caregivers and healthcare professionals, offers information and insights to help deliver the best care.

It gives them access to expert opinions and tools and helps them uncover chronic illnesses via phone screening interviews. Early detection is the key to ensuring proper treatment, care, and desired patient outcomes. While competitors depend on sparse medical details provided to them only after the patient is admitted to the hospital, those using this platform capture a vast amount of clinically-relevant data for timely decision-making.

Chronic disease management services allow you to:

  • Offer care throughout the patient journey with actionable health and medical facts, insights, and applications
  • Maintain patient-specific models to determine risks and optimal treatment
  • Personalize treatments for chronic heart problems and life-threatening diseases like cancer and stroke
  • Ensure remote patient monitoring and self-management via support from wearable devices
  • Detect warning signs of illnesses and prevent disease progression with early intervention strategies

AI and analytics are now an integral aspect of health care. They aid in robotic surgeries empowering surgeons with precision and efficiency. These technologies form the core of administrative workflows, bridging the gap between patients and caregivers. AI-powered virtual nursing assistants also play a pivotal role in modern healthcare settings.

The question is – Are you leveraging AI-powered tools and applications well?

Give your business the power of intelligent analytics with Trigent

The stupendous growth in AI and analytics emphasizes the importance of these technologies in navigating through the healthcare landscape. We can help you explore the full potential of analytics and MedTech to offer value to your customers. Our technology experts can guide you to ensure you make the right AI investments, eliminate data silos, and create cutting-edge healthcare solutions.

Allow us to help you overcome data issues and simultaneously leverage advanced technologies to improve care and cure. Call us today for a business consultation.

Serverless Cloud – Why you should consider going serverless?

From client-server to servers in internet data centers to cloud computing and now ….serverless.

Phew!!

Cloud computing enabled establishments to move their infrastructure from Capex to Opex, where companies could now hire their infrastructure instead of investing in expensive hardware and software.

When you hire infrastructure on the cloud, you are still committed to hiring instances, virtual or dedicated. Auto-scaling was probably the first move towards on-demand capacity where you could spin up server instances as and when your demand went up. This was effective; however, the minimum increment unit was a server instance.

In parallel, there was another movement where people were trying to figure out if they could do something more than virtualizing instances on a piece of hardware because there was still the task of managing and monitoring these instances. This paved the way for application containers where instead of creating separate instances of the OS for each application, they just made secure spaces for them to run while broadly sharing the OS resources.

Enter serverless computing

By adhering to some basic rules, services and applications can be deployed onto serverless systems. The infrastructure can create a container, execute the code, and clean up after that based on demand. Of course, this is a significantly simplified explanation, and the systems are way more complicated.

This completely eliminates dedicated servers or containers. Instead, you are billed for the time you use your computing resources, i.e., the time and resources consumed by your application to fulfill the request. Some of the top-rated serverless solutions are AWS-Lambda and Google-Cloud-functions. The new freedom to scale on-demand and the elimination of estimating load and traffic led to the massive adoption of serverless architectures. If things failed, it was NOT due to provisioning and capacity.

Having said this, one must tread cautiously when going in for serverless architecture. Some of the things to pay special attention to are

Cold start latency impacts customer experience – Code instances spin down when not used for some time, resulting in a cold start that affects app response. These are called cold instances instead of warm instances that are ready to run and handle service requests. This is fine in most normal applications, but certain measures need to be in place in specific use cases where the frequency of server calls is low or erratic, and the response time is critical.

Most providers provide a concurrency control such that you can control the number of warmed containers that can handle the request. This means these minimum containers are kept fired up and live so that they are ready to handle requests. Exercise caution while configuring this as the containers are billed irrespective of usage.

Serverless architecture appropriate for the complexity and scale – If you have a very simple app that does not require significant performance scalability, then a serverless architecture could be more expensive in terms of development and maintenance. In the scheme of the total cost of ownership, Resource costs always tower over the infrastructure costs. Man-power for server-based architecture is more readily available than serverless because of the recency of the technology.

Factor in the limited options to use open source – Using open source modules and libraries can be a considerable cost and time saver. But a lot of these are more suited to more dedicated and traditional environments, given the recency of the serverless architecture popularity. While there is no “serverless compliant” tag that you can use to choose, you have to probably try and rely on the community recommendations and experiences when selecting these libraries or modules.

Debugging and monitoring are typically more complex – Setting up local environments to simulate production can be challenging. Though monitoring is provided at a macro level, detailed monitoring is far more complicated than a dedicated app environment. However, you can achieve the same log functionality with some discipline and a little caution. Ensure you use log levels so that the logs entries are controlled. Provide a context as most of your logging will be central, and you will need to filter each function’s logs. Use a service like CloudWatch( on AWS ) or Cloud Monitoring (on GCP) to centrally log and analyze your logs and act on them.

On-Premise or Hybrid architectures are complex & expensive – Serverless architecture has a more sophisticated and complex infrastructure management system typically proprietary to the providers. If you require an on-premises deployment, especially in specific critical systems, the infrastructure setup could be much more complex to set up and manage and probably cost much more. In these cases, it is best to avoid Serverless solutions. However, if this is not really a criteria, then the most common practice is to use a development environment on the cloud itself. Use a service such as “AWS CloudFormation” or “google deployment manager” to enable your CICD process.

Need more insights on your infrastructure requirements? Let us help

Lock-in to the provider – Serverless applications need a certain level of adherence which is custom to a provider and generally requires some amount of porting to move providers, not just in the applications but also in the data and other extensions. It is rare that companies will move providers. There is definitely a cost to the move if it comes to this. Before you choose a provider, it is important to evaluate the capabilities of the platform for current and future requirements (up to a year or two) of the application. 

Additional security considerations are required – Given that your application is hosted on the cloud and accessible on common channels, security measures and systems must be carefully implemented and adhered to. With a serverless architecture, it becomes a little more complex given that additional steps need to be taken. Some of the things to watch out for are insecure configuration, Insecure 3rd party dependencies, DDoS attacks, inadequate monitoring, etc. Engaging services of security consulting companies specializing in serverless security is also an option.

Danger from runaway costs -Serverless billing can be complex to estimate for businesses. There are Max-memory size and function execution time whose product results in the metric used to compute the billing. But the former parameters are not always that simple to estimate, given the data changes as the application performs. This could be a cost-saving and also a bottomless pit. While there are some estimation techniques and methods, one additional measure is to track the billing on a weekly basis to preemptively take corrective action.

While all these potential risks exist, Serverless architecture is the future. Getting an expert opinion on the solution can give you a better understanding of the advantages and reduce the risks significantly. 

Forge your digital future with expert help. Call us now!

Total Experience (TX) = No More Silos. Learn From Real-life Use Cases

Gartner recently announced the top technology trends for 2022 to enable organizations to deliver growth, digitalization, and efficiency for the next three to five years. These trends help CIOs and IT leaders discover direct digital routes to connect with their customers while protecting margins and cash flow.

Total Experience (TX) has been identified as a key trend that can drive greater customer and employee experience through holistic management of stakeholder experiences. Experts say it creates the confidence, satisfaction, loyalty, and advocacy necessary for attracting and retaining customers.

Total Experience puts an end to silos

As defined by Gartner, ‘total experience is a strategy that creates superior shared experiences by weaving together the four disciplines, i.e., the multi-experience (MX), customer experience (CX), employee experience (EX), and user experience (UX).’ Successful organizations across diverse sectors embrace it to ensure a more integrated approach internally and externally.

Gartner believes in the transformative potential of TX, touting it as the means for organizations to outperform competitors by 25% in satisfaction metrics for both CX and EX by 2024.

Organizations are now working towards delivering an excellent TX by integrating technologies to break down silos. It is impossible to separate customer and employee experience strategies into silos.

UX, CX, and EX are connected and cannot be viewed in isolation. Poor UX will always lead to unhappy customers. On the other hand, a happy employee will work harder to keep your customers happy. Therefore, organizations are focusing on elevating the TX rather than working on each of these components individually to create a sustainable competitive advantage.

TX is the game changer every retail business needs

To elevate the TX, it is crucial to understand its components in detail. These include:

Multi-experience (MX) – It refers to the overall experience a brand offers through its products and services across multiple touchpoints. 32% of consumers won’t hesitate to walk away from their favorite brands after just one bad experience. In Latin America, this trend is even more prominent, at 49%.

User experience (UX) – It refers to the user-friendliness that comes with the design, usability, and functionality of your brand offerings. Modern consumers want speed, convenience, helpful employees, and friendly service, and each of these factors has been rated above 70% in importance.

Customer experience (CX) – It refers to the quality of your interactions with customers across the customer journey and how you make them feel. 63% of consumers are happy to share personal data if it translates into a great customer experience.

Employee experience (EX) – It refers to the overall experience of employees at every touchpoint during their tenure and the way you make them feel. Human interactions are critical, with 82% of U.S. and 74% of non-U.S. consumers wanting more of them. The same applies to employees too.

Considering that 54% of U.S. consumers think the customer experience offered by most companies needs improvement, it is important to close the gap between expectations and experiences.

It won’t be easy to enhance all the aspects of TX in one fell swoop. While giving the best experiences to your customers across multiple channels and touchpoints, you need to delight and inspire your employees too so that they deliver stellar service. But it’s attainable with proper planning and powerful tools.

Digital transformation empowers organizations with the data required to offer Total Experience.

Let’s assume a business has everything – a physical store, digital presence, an app, social media presence, intranet, a website, and a database. How wonderful would it be if all these elements interacted and worked in tandem? So, every time customers visit a physical store, you could notify them about offers on different products via app notifications. Your employees could use this information to interact with your customers and drive engagement.

What you would eventually achieve is Total Experience.

Gartner explains it well, citing the example of a telecommunications company. The company deployed an appointment system through its existing app so that every time customers were in the range of 75 feet from the store for their appointment, they received:

  • a notification to facilitate a smooth check-in process
  • an alert to inform them of the wait time to enter the store safely to maintain social distance

And that’s not all; the company even increased the number of digital kiosks so that employees could simply co-browse with customers to guide them through their tablets without touching their devices. This resulted in a seamless, integrated overall experience for both – customers and employees. The rationale behind this whole exercise was to improve safety and satisfaction.

Several companies are using a similar model due to the pandemic.

TX in action

To deliver the perfect TX, you need to use the machine and human capabilities ideally. You need to close the gap between customer expectations and how your employees deliver them.

60% of respondents participating in a survey said they would stop doing business with a brand if the service offered was not friendly. 46% said they would abandon it if the employees were not knowledgeable. Ritz-Carlton Hotels deal with customer grievances effectively and allow their employees to use up a whopping $2,000 to rectify a bad guest experience.

Happy employees lead to happier customers and a thriving business

Publix is quick to acknowledge this and pampers both. Publix employees will literally walk that extra mile to take you to the item you are looking for. They will guide you for quick checkouts and help you take groceries to your car. These employees get benefits like healthcare, retirement plans, tuition reimbursements, employee discounts, and the status of being an owner of the company. Publix is the largest employee-owned company in the U.S and gives its employees the pride of ownership.

Zappos, too, continues to WOW with its happy community of customers and employees. Among other things, Zappos even tries to keep pace with the moods of its shoppers. Zappos representatives can thus talk about different things to make their customers feel heard and appreciated or keep the conversations to the point while taking orders or facilitating exchanges and returns. These unique interactions are possible due to the management level decision-making power it bestows upon its employees.

Touchpoints to consider for a cohesive TX

There are multiple touchpoints to consider to reach out to customers effectively without increasing employees’ workload.

Website – An easy-to-navigate, mobile-responsive website is crucial. Toronto-based retailer Marquis Gardens uses its website effectively to reach out to customers in rural areas and promote their physical space.

Retail stores – Brands like Rebecca Minkoff are leveraging technology to ensure innovative in-store experiences. Apart from smart mirrors and self-checkouts, the store has a digital wall that helps you order a drink or request assistance.

Social media – Social media sites are now adding ‘shoppable’ functionality to their sites so that shoppers can instantly buy what they like. Instagram is leading this trend. With powerful technologies like augmented reality and virtual reality, brands like Charlotte Tilbury urge shoppers to virtually ‘try-on’ myriad make-up looks using AR-powered digital mirrors.

Of course, there are other touchpoints too that necessitate a cross-functional collaboration. The key is to identify avenues and opportunities to ensure that customer experience is not fragmented and disparate across digital and physical channels. You must leverage artificial intelligence and machine learning technologies to eliminate data silos and identify gaps.

Offer stellar Total Experience with Trigent

It may not be easy to master TX in the current digitized experience economy. But you can work towards it to accelerate business value and drive satisfaction and loyalty among employees and customers.

Trigent can partner with you to create the perfect integrated customer journey and offer the best TX.

Call us today to begin your TX journey with us.

Telehealth and Cybersecurity: 3 Best practices to ensure data security in remote patient care

Telehealth refers to the remote access and delivery of healthcare by integrating digital devices, healthcare equipment, and healthcare systems. The pandemic has accelerated the reach and adoption of telehealth.

There are many telehealth products in the market today. Here are a few examples  –

  1. Sesame care –  Provides listings of healthcare providers with affordable pricing, which varies with region. Patients can book appointments for the same day and for a future date.
  2. Klara – Enables real-time video visits between caregivers and patients. Includes scheduling appointments, insurance verification, sharing reports during the consultation, and documenting instructions for individual care. It also provides a virtual waiting room for the patient.
  3. HealthTap – Another telehealth product that enables patients and families to find an affordable virtual care provider for primary health.
  4. MeMed – Provides virtual healthcare in several areas such as general health, mental health, child care, etc. It works with businesses to develop solutions that bring down the cost of healthcare services for their employees. 

While there is greater adoption of telehealth services, there is reluctance from patients worried about their data privacy, while others are not comfortable going virtual. While the latter can be resolved through user education or caregiver-assisted consultations, cybersecurity is a bigger problem.

Read more: How to transition to telehealth

Access to healthcare and information from anywhere increases the threat surface and the associated security risk. With the increase in telehealth traffic, cyber-attacks have increased exponentially.  American legislation provides for the Health Insurance Portability and Accountability Act (HIPAA) which is the cornerstone of governance around healthcare. Any telehealth service must be HIPAA and HL7 (Health Level 7) certified as it holds patient data.

HL7 is a set of international standards around transferring electronic information on health between healthcare providers and related systems. One of its key protocols, FHIR (Fast Healthcare Interoperability Resources), defines how healthcare systems can share data,  irrespective of how it is stored in these systems. It is web-based, with REST being one of its standards. This makes it possible for easy integration with healthcare-based consumer apps providing lightweight data as per need. 

You may also like: FHIR – The winning edge for successful patient engagement

Three best practices to ensure data security in remote patient care are:

Multi-factor authentication of identity

Healthcare providers, patients, and payers can access health records outside the network via cloud-based solutions. Simple user/password authentication and authorization will not suffice in such scenarios. A hacker can quickly gain entry. Multi-factor authentication that requires at least two pieces of information to enable user access from different networks will significantly reduce potential threats. It could be a 2F authentication or token from a verified phone number associated with the account and a strong password. Biometric authentication using fingerprint, voice recognition, or facial recognition are other means of multi-factor authentication. 

Cloud Infrastructure security

Today serverless architectures take away the load from developers to scale their applications based on load, with the additional benefit of reduced costs. A serverless application or service gets triggered by different data sources, i.e., distributed cloud services. Each data source comes with its event data format, each with a potential data injection loophole. Additionally, there are no firewalls protecting these services. 

Adequate serverless security would include: 

  1. Least privilege access for serverless services. Default deny approach by the service being accessed unless the necessary permissions are granted.
  2. Implementing a Web Application Firewall to protect against attacks like SQL injection.
  3. Cloud Encryption (or cloud storage encryption) – Data is encrypted before being stored in files and databases so that only authorized personnel can access this data.
  4. Continuous checks on third-party integrations
  5. Continuous monitoring of services auditing logs to take quick action or prevent cyber attacks
  6. The shared responsibility model between the user and service provider keeps the environment secure.

Network and data security 

Telehealth services over the internet, insecure connections, and lag in security updates pose a considerable security threat to patients’ health data. 

Using a VPN that restricts access to users with the proper credentials is one way of preventing such issues.

Striking the right balance between security and complexity of use is essential. Having said that, there are other systems that a telehealth service would need to interact with. Specifically, remote devices and sensors are being used for monitoring a patient’s health. All of this data that goes to the telehealth service and out of it would need to be encrypted at rest and in motion. Ensuring the data is transmitted on SSL, and secured storage reduces the possibility of a leak. Enabling periodic anti-malware and virus scans will also check cyber threats. Over and above application and network-level security, patients must be educated on the importance of cybersecurity while maintaining a  relatively lower complexity.

Ensure cybersecurity for your organization

Cyber-security is a crucial parameter to telehealth adoption. Therefore to manage this, an organization could  – 

  1. Partner with cyber-security providers, 
  2. Set up the proper framework and governance around telehealth,
  3. Adopt the latest security measures and tools, 
  4. Enable security at the application level,
  5. Continuously monitor all devices, data handshake points, and the overall network.
  6. Have scheduled virus scans and update anti-malware installed.
  7. Ensure solid passwords and meeting ids while using third-party tools such as Zoom to not compromise the patient’s identity.
  8. Keep the patient and caregivers well-informed on the usage of devices, password management, and enabling virus scans on their devices.
  9. Have an eye out for new security loopholes cited in the market.

Reach us at Trigent to evaluate the existing and build new secure telehealth application(s) and apps for your organization.

Build secure and efficient telehealth applications for your organization. Call us now!

Flutter vs Xamarin: Choose the best cross-platform framework for your project in 2022

If you are considering a mobile application for your business or service in 2022 chances, are you or your software development partner, considering a cross-platform framework? Naturally, your search would entail several different frameworks and quickly bring you to a crossroads: Flutter vs Xamarin?

A bummer? Not really. Perhaps this brief analysis will help you make that call. 

Background: A quick look at the genesis of these cross-platform frameworks

Flutter is an open-source UI SDK (software development kit) from the stables of Google in 2017. It helps develop cross-platform apps for Android, iOS, Linux, Mac, Windows, Google Fuchsia, and Web platform. The first version was code-named SKY and ran on Android. By September 2021, Dart SDK – Flutter apps are written in Dart language, and Flutter version 2.5 was released. The update was targeted at improving Android, iOS Full-Screen mode, and other enhancements.

Xamarin, a Microsoft company produces open-source software that works in tandem with .NET. It is a part of the C# / Visual Studio suite, extending it with tools and libraries for building apps on the various target OS. The promise is that developers can easily reuse their C# code and port their code across platforms.

Want to identify the right cross-platform frameworks for your mobile application? Let’s talk

Flutter and Xamarin: Architecture and components

Flutter components: Flutter consists of the following components briefly summarized here with their core functions.

Dart platform: Flutter runs in Dart VM with a JIT (Just in Time) engine, allowing stateful hot reload while the app is running, thus avoiding a restart or loss of state.

Flutter engine: The C++ code is a portable runtime software for hosting Flutter applications, and implements Flutter core libraries, files, network I/O, and plugin architecture.

Foundation library: Written in Dart provides basic classes and functions used to construct Flutter Apps and design specific widgets. Three types, stateful, stateless, and inherited widgets are used widely for most Flutter applications.

Xamarin has a Mono environment for use both in iOS and Android. Internally Mono is combined with components to give a smooth response. It runs along with Android Runtime on Android, Objective-C runtime in iOS, Linux kernel in Linux. 

Architecturally, therefore, there may be no significant edge in either of the approaches.

Kickstarting the development effort in cross-platform frameworks

Kickstarting Flutter development is a breeze. Just download the file for the OS you need and you are ready to go with all documentation built into the official site. But it is not so with Xamarin. Xamarin requires multiple steps starting with downloading the correct version of Visual Studio, installing Community, Visual Studio Professional and then reserving hours for documentation help which you will certainly need.

Economics of framework

Microsoft expects fees for commercial deployment from enterprise users that could range from $799 to $5999 per user. The fee can prove to be a clear disincentive to a developer considering a cross-platform app framework while Flutter is entirely free.

Code reuse

C# and its intrinsic .NET heritage enable easy reuse of LINQ and async programming features – a big plus for Xamarin. Together with Xamarin.Forms API, it is said code reuse is closer to 96%; which is impressive compared to Flutter. Xamarin’s Android and iOS tools to build platform-specific features also help code reuse. However, it is important to understand that code written with Xamarin is only reusable within the .NET technology stack.

Flutter’s components are all in-built, allowing cross-platform development from the get-go. Apps on Flutter are widget-based with customization allowing native-app look and feel. Code reusability in Flutter is about 80%.

Cross-platform capabilities

Flutter: A single code base allows programmers to easily adapt to a new platform avoiding detailed system study and planning, saving time and energy.

Flutter comes with high-performance widget ergonomics allowing low data exchange between the app and mobile platform and comes with the ability to compile into native code for Android and iOS.

Development ease

Flutter serves Hot! Hot reload is a term used to describe a framework’s ability to insert code changes live on a running app without bringing it down and restarting. It is a big deal as it completely avoids restart and saves time in rapidly changing business environments such as Q-commerce (quick commerce such as food service app, retail app, and mobility world apps).

Xamarin has an equivalent Hot reload feature, also called Live Reload, allowing users to see code changes without compilation. 

Performance

Flutter architecture obviates the need to use JS bridge to communicate with native components which uses Google’s Skia rendering engine. This boosts its cross-platform performance significantly with minimal dropped frames and low lag.

Apps built on Xamarin have performance that depends on the Xamarin framework used. For example, the performance of Xamarin.Forms, especially while handling graphics, falls short of expectations. Sometimes special components need to be developed for the iOS / Android world, thus losing its appeal for UI-heavy applications. 

Widget ergonomics

Widget library of Flutter is both convenient, beautiful, easy to use, and driven by contemporary design. A large customizable library of widgets with access to navigation, multiple options in interaction models, layouts is available with support for animation. Consistency in the look and feel of the app on different devices coming from a high-widget approach is easy on the eyes.

Flutter’s inherent performance on fast-moving graphics and animation stands head and shoulders above competing cross-development platforms. Its rapid growth within the developer community and la significantly large developer community built within a short span of 4-5 years indicate its popularity.

Developer support

Google’s strong global support makes the developer community comfortable making the plunge into Flutter. 

On that front, Xamarin stands as a formidable competitor to Flutter. As an established top global software product house, Microsoft pulls all stops to provide the necessary support to the developer with its established support processes. Besides, C# and.Net already have a large developer community, making it easier for Microsoft to extend support to new converts to the Xamarin turf. 

Xamarin or Flutter: Choosing the best cross-platform frameworks for your application

Not being tied to IDE is a big plus for Flutter users, whereas, for Xamarin developers, an intimate knowledge of Visual Studio IDE is critical for the smooth work of Xamarin. The concept of Visual Studio IDE is to be understood and implemented. However, it is not considered accessible by many. Apart from this, Microsoft also requires Visual Studio IDE licensing to be procured. 

Flutter comes with the flamboyance, aggression of a young, ready-to-go, open-source, free, and almost no barriers to develop and deploy. Xamarin has a more traditional evolutionary sense of growth but well-established clientele backing it globally. With myriad opportunities exploding on multiple verticals, Microsoft is not going to let this opportunity be lost either. Expect a robust battle between these technology giants on the cross-product platform wars.

Work with a partner you can trust

Working with a development partner with a full-stack skillset covering multi-platforms iOS and Android, and with development skills across the board from Dart, Swift, Java, JS, Kotlin, Objective C, and C# is naturally an advantage. If you have a software development partner such as Trigent, for example, who, in addition to the above, excels in multiple frameworks such as Xamarin, Flutter, Angular UI, JQuery, Appium, Cordova, and React Native, you are in safe territory and in trusted hands. 

When your software partner is multi-skilled, technology crossroads are certainly less daunting. 

Build responsive and engaging cross-platform mobile apps. Contact us now

Challenges in Cross-platform Mobile App Development That I Wish I Knew Before

There’s a buzz around cross-platform mobile app development lately. From start-ups to entrepreneurs, everybody’s looking into the potential of cross-platform frameworks. While many are enticed with the speed of development and simplicity of having to manage a single code base, wider reach is a big draw for companies.

What’s tricky is that the mobile app development landscape is constantly evolving, with new frameworks and updates constantly being added. Ionic apparently is not great for gaming apps, while React Native is just not what you would want for large products or heavy industry applications. Flutter is the youngest, yet very powerful and popular platform. So how do you determine the way forward? While the choices can be overwhelming, you will need a perfect solution for your business yet not too much for your development teams to handle. 

The shift from native to cross-platform development may make good business sense, but you should be ready with hard facts to know it’s worth diving into. You will have to ask the right questions, understand things from a developer’s perspective without losing sight of your business objectives. A developer will be more inclined to choose a framework based on ease of development, programming language prerequisites, and the libraries offered. However, the organization may be keen on having something agile, effective, cost-efficient, and easy to maintain.

Cross-platform solutions for mobile app development

Cross-platform mobile app development continues to offer countless benefits to developers and users alike. User engagement with an app often depends on the ease of use associated with app navigation. Intuitive user experience increases the popularity of an app and, in turn, leads to better conversions. If you are battling with the native versus cross-platform dilemma to deliver fluid user experiences, you are not alone. 

While native and cross-platform strategies are strong contenders, cross-platform are gaining popularity and mobile time with apps that promise consistent user experience across mobile platforms, smoothness, efficiency, and flexibility. What’s more, they are a huge help while integrating phone functions and ensuring shorter time-to-market. A report by Statistica1 suggests Flutter is the most popular cross-platform mobile framework used by 42 percent of software developers, followed by React Native in popularity.

Things are often easier to manage at the start, with few features and user requirements. As the apps scale, new features are added and user needs grow, the development complexities and operational limitations emerge.  A classic case in point is Airbnb, which decided to invest in React Native to enhance agility and experience. In its post on Medium, the company highlighted the challenges they faced and called it immature compared to native iOS and Android. They grappled with JavaScriptCore inconsistencies, maintenance issues, and other challenges they were least prepared for, ultimately deciding to go back to native.

Native apps promise superlative performance since they are created for a particular platform and are fast and responsive. But developers need to code in 2 different languages for Android and iOS. Maintaining feature parity and consistent user experience across the two code bases is the biggest challenge – Invariably, there are situations where some features are available on Android, but not iOS, and vice versa. Version management and feature upgrades are doubled with 2 independent code bases. 

So how would you know if choosing cross-platform would be the right decision for your business?

Cross-platform solutions for mobile app development would be great for you if:

  • You need to target a large user base via multiple platforms.
  • If you wish to build it with a small team of developers using a single codebase. 
  • You want to build an app quickly and ensure that it hits the market fast.
  • You want an app that can be amended easily for changes and updates. 
  • You wish to save money with reusable codes that save development time as well as cost.
  • You want flawless cloud integration for better compatibility and versatility.
  • The app does not require high-performance access to device resources like GPS, camera, accelerometer, etc. unlike gaming and AR/VR apps.

Of course, there will be challenges, but none that cannot be fixed with proper preparation in the planning and design phase. 

Some of the top challenges include:

Coding issues in cross-platform mobile app development

Developers often use JavaScript objects for cross-platform frameworks that cause issues while using reusable codes. Finding and fixing issues in the entire code becomes an arduous task that eventually increases the development time as well as cost.

Also, there is the problem of slow code. It happens when inexperienced developers resort to cross-compliance while developing cross-platform apps. This results in sluggish code and a slower application.

A lengthy integration process

While using cross-platform, the integration process with local settings can take a long time. This further increases the development time. The integration issues with certain operating systems often impede performance due to the lack of compatibility between the native and non-native components of different devices.

User experience (UX) concerns

While cross-platform aids in ensuring feature parity and user experience, access to device-specific resources involves overheads. This slows the app load time and dampens the user experience. App abandonment is a major concern and the inability to deliver the perfect UX can be detrimental. As per Statistica2, 25 percent of the apps downloaded by users worldwide were accessed only once.

 Limited updates

The operating system may not always support all the features of a framework and thus affect the overall experience. For instance, every time there is an iOS update or a new feature gets added, you can use it only after updating the iOS version of your app. But until Google releases the same update or feature, you will not be able to update the Android version.

Security

Every app is vulnerable to cyber-attacks. While frequent updates give native apps the power to rectify loopholes, cross-platform apps struggle on the security front due to limited updates. Organizations that need to deal with colossal amounts of business data on a daily basis, therefore, are less inclined to use cross-platform apps. Cross-platform app development companies are now relying on cutting-edge tools and architecture to address this issue and enhance the security of their apps.

Understanding the unique challenges of iOS and Android

When considering native application development, companies must have the right skills. Both iOS and Android apps are expected to be identical in looks, functionality, aesthetics, and experience but the structural building blocks of both these applications are completely different. Besides, these apps need to be built for different devices and need very experienced developers to build flawless apps. Apps are being used on smartphones, laptops, and tablets which means the challenge is not limited to multiple operating systems but involves varying screen sizes too.

It is important to look into their user interface (UI) and user experience (UX) peculiarities and understand the acceptance criteria laid down by official app marketplaces. Apple is known for having very strict guidelines to ensure a certain look and feel of iOS apps. Apps that fail to adhere to these guidelines are often rejected by the App Store. On the other hand, Google Play Store despite not being so rigid does not offer much relief either. This is mainly because Android users are accustomed to a certain level of experience and performance from their apps and anything that strays from these de facto levels is likely to get low ratings.

Even UI rendering and hardware features for both these platforms differ. Each OS renders UI standards differently and calls for unique coding approaches. Having one codebase to manage all these requirements can be extremely challenging. Hardware features too are realized differently and each feature will work differently on multiple platforms. While a certain feature may be accessible on one platform, it may not be on another. The fact that both Android and iOS are constantly evolving further adds to the challenge of forcing developers to play catch-up all the time.

A robust team of developers that has adequate experience in using modern tools and frameworks can however build the perfect cross-platform app despite all these challenges. You need to determine the essential features you would like to include in your app based on customer needs and then work on other aspects such as timelines and budget.

The cross-platform mobile app development frameworks dilemma 

Among the many cross-platform frameworks available today, React Native, Flutter, Xamarin, and Ionic are some of the most popular ones. Greater device compatibility and faster development make them a dependable choice for building enterprise-grade apps.

The biggest challenge for a developer however is choosing the right cross-platform framework, especially since there are many distinct pros and cons.

Alibaba and Google Ads, for instance, use Flutter for their apps. It supports Android, iOS, Windows, and Mac, and its architecture is based on reactive programming. But it comes with limited libraries and extensive application size. React Native, on the other hand, used by Facebook and Skype, comes with native functionalities and platform-specific code. However, its navigation is not as seamless as Flutter.

Companies like Pinterest and Slack rely on Xamarin which complies with native code for better performance and experience. But it has platform-specific limitations that hinder multi-touch functionality and platform-specific gestures. 

Others like Node.JS, Ionic, NativeScript, PhoneGap, and Sencha Touch are distinct and useful. It takes an expert to know what’s best for your unique business objectives.

Cross platform development services – Work with experts

If the whole idea of developing an app is overwhelming for you, you may consider partnering with app development experts. There will be crucial decisions to make both before and during app development. For instance, with windows becoming passé, how equipped is your app to serve Android and iOS users? Cross-platform technologies like Flutter, React Native, and Xamarin are all very popular, which one’s right for you? 

You need a development partner who not only understands app development but also your market to give you a competitive advantage. The experienced ones know exactly how to optimize to save costs. For example, the Facebook mobile app merely extends the same set of features as its web counterpart.

The development partner you choose can do the same for your company by extending your existing software’s logic and components to your mobile app using APIs. This ensures a consistent connected customer experience while keeping the development cost low.

 Build high-performing Omnichannel apps 

Enterprises are aware of the role apps play in augmenting their business revenue. You need a large user base to do so, and that will happen only when you are able to reach a broader audience in cost-effective ways with an app that offers excellent performance and experience. Industry experts believe cross-platform apps ensure a better reach. 

The only way to build a high-performing cross-platform app is to research, analyze, and choose the proper framework. What’s easier is to reach out to experts who know the app landscape like the back of their hands.

Build your app and customer base with Trigent

Trigent has been a tech partner for several organizations in diverse sectors offering unique solutions tailor-made for them. We leverage advanced tools and technologies to keep you on top of your game. 

We can assist you too in building your app to increase customer acquisition while minimizing development costs. 

Call us today for a business consultation

SDK vs API – All you need to know to make an informed decision

Building software in the current world requires high-speed development to meet ever-changing business needs. Products and services are delivered incrementally in Agile mode. 

To meet speed and quality requirements a development team will need to identify the following:

  1. Development tools and frameworks that ensure standardization.
  2. Ready made solutions that can be integrated directly or customized to serve their needs.

Modern development approaches need to make a choice – SDK vs API to meet these challenges. Instead of wasting time and resources on researching, developing, and testing, teams can use a plethora of APIs and SDKs with extensive community support.

SDK vs API Examples

An SDK is a full-fledged installable library, while APIs are services exposed by a third party or another service, to be communicated with. Both take away the development effort of a module or feature that you might not be ready with.  Depending on the scenario a developer or team will either need an SDK or just an API. Making an informed decision on when to use one over the other is crucial to successful software development. 

To understand this, let us take an example in which we want to build a native health tracking app. The app will have the following features:

  1. Social authentication through Google or Facebook accounts.
  2. Location tracking to figure out distance covered from point A to B as per the user’s activity. It could be cycling or walking.
  3. BMI calculator.
  4. Diet options.

The list can continue, but we do not want to digress from our main intent of understanding SDKs and APIs.

The first thing to consider while building a native mobile app is that there needs to be an Android and an iOS version to serve the majority of users. Whether one should go in for a native or a hybrid app or build the 2 variants using a Cross-Platform approach requires a separate discussion in itself. The starting point for it could be the skills available in-house.

Android app and social authentication implementation

For our scope, let’s just consider the Android app. The official language for building Android apps is Java. Kotlin also has become an official language for Android development and is heavily promoted by Google. C, C++ runs natively on the phone. Then there is LUA which is not supported natively and requires an Android SDK. You can even use C#  depending on your team’s core competency. This will require either Xamarin with Visual studio or Unity. 

We are going to choose Java here.

The best way to get started for a Java developer is to install Android Studio which is an IDE that automatically downloads the Android SDK and emulator.  The Android SDK is a complete set of development, debugging, testing, and build tools, APIs, and documentation. Using the SDK you can generate APKs that can be deployed to different Android-supported devices. The developer just focuses on the language of his choice based on what is supported by the SDK and uses standard code and framework to get the app up and running. 

The next feature to be built is single-sign-on into the app, using a social account. Both Google and Facebook provide client or server-side SDKs to hide the complexity of the actual implementation and enable the integration through popular languages. The developer just rides on the authentication provided by Facebook and Google. Additionally, the user also grants the app the permission to access information or perform operations on either platform based on our need. In our case, we will have to use the Android SDK provided by Facebook and Google.

To sum up, the Android SDK enables the following:

  1. Enables development of the Android app using a language of our choice, Java.
  2. Provides APIs to access location, UI, camera and other native features. 
  3. Enables localization of the app for different languages through the SDK’s framework if required.
  4. The Java code is compiled to an  Android application package along with the required libraries of the SDK

Hence for our health tracking app, we can use the Android SDK for social authentication

Unsure of which SDK Framework to use? Send in your requirement and we will be happy to assist you!

SDK vs API – Location Tracking Functionality

One of the key features of the app we are trying to build here is to figure out the distance walked or cycled by the user. We can take the route of custom implementation by spending a couple of days or weeks to come up with an algorithm, implementing and finally testing it. A better approach would be to use an out-of-the-box solution such as Google Maps and save on SDLC time and effort.  Google provides both SDK and API related to Maps and distance. In our case, we do not really need the entire Google MAP SDK. We can use just the relevant APIs such as the Distance Matrix API.  It gives you the distance and time between one or more endpoints. 

Let’s consider the Javascript implementation of the distance matrix API. The end-point provided looks like this:

https://maps.googleapis.com/maps/api/distancematrix/outputFormat?parameters

Based on the above URL we can glean that an API comprises of the following –

  1. Protocol – SOAP, REST or GraphQL. In our case it is REST. SOAP is the oldest mode of interaction with heavy schemas and data. REST is an architectural style relying on HTTPs GET, POST,PUT and DELETE operations. GraphQL is a query language promoted by Facebook which solves the problem of under-fetching or over-fetching by REST.
  2. URL – as provided by the service provider.
  3. Request Parameters – Either all parameters are mandatory or some are optional. Any service exposing APIs will share the parameters and their structure. In our case for instance – destinations and  origins are required parameters. Mode (bicycling or walking) is an optional parameter. 
  4. API Key – We will need to pass a unique API key that points to our application using the service for authentication and authorization.
  5. Response – The output is either JSON or XML.

What is API advantage here

An API (Application Programming Interface) enables easy and seamless data transfer between a client application and the server providing the service. There is no installation required, unlike an SDK. The API logic is completely abstracted by the service provider from the client. APIs contribute to a loosely coupled, flexible architecture. Since the API code lies on the server, it’s maintained by the provider. Because of this dependency, we need to ensure that we choose a reliable provider and also keep an eye out for newer versions.

Hence for our health tracking app, we can use the Google Map API for location tracking.

BMI calculator and diet options implementation

This would be either a custom implementation, an API, or SDK. If it’s not available readily as an API or SDK and is required in a number of different health services or products the organization wants to provide, it would be best to expose it as an API for current and future use. 

Diet options clearly are a custom implementation in our scenario.

Difference between SDK and API

APISDK
An API is used to provide a feature by running on a third-party system in a request-response mode.An SDK provides all the tools, libraries, APIs, and documentation necessary to build the application or feature.
APIs run on separate servers (internal or 3rd party) and hence have a continued dependency on the service for reliable operation.SDKs typically run on the same environment and hence have no interdependencies. However, they use the processing power of the existing environment of the application being built.
This just requires a SOAP/REST/GraphQL call to the server end-point with request parameters defined as per the API documentation. This is available in languages supported by the provider which is mostly based on what can run in the environment expected and the popularity of the language. 
For instance, Java, NodeJS, Python, GO, PHP are the usual languages popular with the developer community.
No installation is required. It requires installation and is therefore bulky. Any upgrades will need to be handled at our end. Some SDKs also allow customizations as per our needs.

In a scenario where just a few APIs are required from the entire stack provided by the SDK and these APIs can be independently run, it’s better to opt for the APIs alone.
Error handling is left to the application based on what is thrown back by the server.SDKs lean on the language’s error handling mechanism besides what the server platform returns. Therefore error handling is handled in a more effective way.
Examples – Map Apis, Payment Apis, AdMob API provided by Google.Examples – JAVA SDK, Android SDK, Facebook’s Single Sign-on SDK.

While SDKs are a superset of APIs, used appropriately, they both have many advantages over custom development. 

Advantages of API and SDK

  1. Fast and easy adoption – A few lines of code and your feature is ready.  The developer can focus on the core business functionalities of the application instead of re-inventing the wheel or working on something that is not our core area of expertise.
  2. Saves time and effort – Ready to use and can be directly plugged into, thereby shortening development cycle.
  3. Language – In the case of SDKs, they usually support all the popular languages that the implementation needs. For APIs you just have to ensure the communication protocol and parameters are as per the requirements.
  4. Support -APIs and SDKs ensure best practices, provide robustness and have community support.
  5. Documentation – APIs and SDKs have good documentation for developers to understand and use. No expertise required other than knowing the language to be implemented in. 
  6. Updated – Newer features keep getting added to the stack by way of versions which the developer if required needs to just update. Mostly backward compatibility is already handled by the service provider.

Disadvantages of using APIs and SDKs

To summarize, whether it’s an API or SDK, it’s better to follow the reviews of the community before making a selection. Things to look out for are known bugs, limitations, and cost.

Trigent provides a number of ready-to-use SDKs and APIs for many domains such as mobile app development, SCM workflows, Logistics, AR/VR development services, enabling you to focus on your core expertise and saving you a lot of time and effort in your development cycles. To know more, please contact us

Quick Wins in Enterprise Digital Transformation (yet often ignored) – Intelligent Automation

The modern workplace is seeing widespread usage of machines and automation. Enterprise digital transformation, Artificial intelligence (AI), and automation are changing the tide for businesses globally. This means a significant change in the work culture as employees will have to acquire new skills and adapt to the advanced capabilities of machines. 

As per a recent study1 involving over 600 business leaders from 13 countries, more than 50 percent of respondents confessed to having already invested over $10 Million in intelligent automation projects. The AI market globally is presently growing at a CAGR of 40%, all set to touch $26.4 Billion by 2023.

AI,  along with robotic process automation (RPA), voice recognition, natural language processing (NLP), and machine learning (ML), is allowing businesses to blend automation with human capabilities successfully to create intelligent working environments. 

Automation is driving agility for businesses giving them the much-needed competitive edge over others with quick decision-making powers. Clearly, decision velocity powered by AI-driven insights gives you data supremacy to lead in a highly volatile market.

Making a case for Intelligent Process Automation (IPA)

When automation meets artificial intelligence, you get intelligent process automation to scale up your business. While it allows you to off-load routine, repetitive tasks, it empowers better guardrails for all your automation initiatives. It takes the uncertainty out of the picture and enables more personalized execution and processes.

Intelligent automation enhances the overall customer experience. The speed of response has often been a critical consideration while evaluating the customer experience. Intelligent automation is helping organizations meet customer expectations with personalization. Through customized offers, services, and content, businesses are acquiring and retaining customers.

What do the right IPA endeavors ensure?

  • Agile services due to a significant reduction in processing time
  • Greater flexibility and scalability for being able to operate round the clock with capabilities to scale up and down as required
  • Improved quality control due to greater traceability of events and instances and checks at different levels
  • Increased savings and productivity due to a high level of automation
  • Clear, actionable insights to predict and improve drivers of performance

While there is unanimous agreement on the benefits of intelligent automation, not everyone has leveraged these benefits across the organization. What you need is an enterprise-wide approach that promotes a new way of working.

Adding intelligence to the digital mix

A highly automated world does not focus on reducing the headcount but increasing its potential to do more in an agile manner to solve the business challenges of tomorrow. It relies on structured and unstructured data the company collects from the public domain and other stakeholders rather than depending on traditional methods.

Intelligent automation compels you to rethink key business processes. The sales and marketing team gets deeper segmentation to target and sell through advanced analytics. Those working to strengthen the supply chain get to improve production and distribution by leveraging technologies like cloud and analytics across the value chain. Planning and development teams, on the other hand, rely on data-driven insights to integrate them into product performance and boost innovation.

Alibaba Group2 is a classic example of what you can achieve with intelligent automation.

After making significant strides in eCommerce and retail, it has further revolutionized its business processes with its ‘Industrial Vision AI‘ solution for manufacturing and production. It allows the company to inspect raw materials thoroughly to detect minute defects, resulting in a 5X increase in production efficiency. Its automated warehouse is managed entirely by robots taking precision and efficiency to a whole new level.

Regardless of your goal, you need to create a strategic roadmap to align it with your business priorities. This is not possible unless you assess your digital maturity.

What is the role of IT in successful IPA transformation?

Intelligent process automation (IPA) is a melting pot of technologies enabling significant gains for businesses worldwide. IPA should not be confused with robotic process automation (RPA) as unlike RPA that performs repetitive, automated tasks based on predefined rules and inputs, IPA can understand the context, learn, and iterate to support informed decision-making using unstructured and structured data.

Those who have been able to get the full value of IPA have been the ones who have put IT leaders at the helm of their IPA endeavors. CIOs need to strengthen their core with IPA programs to support automation.

Here’s what we recommend:

  1. Assess the high-level value potential

You may start with help-desk requests since that’s where a significant amount of incidents originate. While tickets with low difficulty levels are resolved immediately, those with more complexity are often escalated to specialized teams. Determine how many such requests were handled the previous year, and by multiplying them by the average handling time (AHT) required, you can evaluate the value of this whole exercise.

For instance, an organization with a significant number of requests for password reset or access can leverage RPA bots that work across multiple applications via the user interface to automate ticket resolution and free up employee capacity. Reducing resolution times and a drop in costs associated with outsourcing help-desk support will thus improve performance and profits.

The effort required for these activities often varies. Everything needs to be evaluated critically from backups and patching to security audits and upgrades to understand the effort involved and the value you can garner by planning activities for automation.

  1. Identify the use cases best suited for IPA

Let’s consider the same example mentioned above. In order to automate incidents, organizations need to first identify the ones ideal for automation. An organization may be effectively logging incidents in detail, but due to the large numbers and complexities, support teams may not respond quickly and effectively.

AI can make sense of the chaos and understand the reasons behind the alerts. It may be trained to make appropriate recommendations or even make better decisions to ensure suitable responses.

  1. Elevate customer experiences with better service

AI and automation are changing the customer service landscape for every industry, from retail to aviation. Boeing has a fleet of passenger service robots that operate via sensors installed in their bodies. They are doing their best to reduce the manual work of cabin crews. Though experts argue a human perspective is required for these robots to do what humans can.

The key is to understand the power of automation and integrate it seamlessly into processes and workflows to complement human efforts and endeavors perfectly, as we did in the case of one of our clients Surge Transportation.

The company links shippers and carriers and has an automated tracking and monitoring system to assign loads. But the pricing and quotation were being done manually. This drained their resources, led to a huge turnaround time, and left a long log of emails, calls, and paper trails.

Trigent critically evaluated the complexities in its pricing mechanism to bring down the turnaround time to less than a second. Apart from 100% pricing accuracy, the company improved profits by 25%, revenue by 40%, and reduced the load processing time by 91%. With seamless carrier integration, the company now processes 4000 more loads per day.

Other use cases where AI and Automation are driving value

Cashier-less stores

Amazon is popularizing the concept of cashier-less stores with Amazon Go and Just Walk Out. Robotization of stores helps save operational expenses and gives shoppers a smart shopping experience.

Automated medical appointment scheduling

No-shows have been the cause of losses of over $150 billion a year for the U.S. healthcare system with every unused time slot costing individual physicians $200 on an average. No-shows also impact the health of patients since continuity of care is interrupted. IPA challenges traditional scheduling methods by ensuring error-free appointment scheduling based on the nature of the illness, the convenience of patients, and the availability of doctors and healthcare facilities. While patients get to choose a date and time for different health issues, follow-up appointments can be scheduled automatically along with reminders.

Automated supply chains

The ideal supply chain is where there is neither wastage nor out-of-stock scenarios. In tandem with machine learning, AI predicts demand based on location, weather, trends, promotions, and other factors. Revenue losses of up to $4Trillion have been caused due to supply chain disruptions following the pandemic with 33% attributed to commodity pricing fluctuations as per a report.

The automobile giant Toyota is using AI in its manufacturing environment to address waste control with its ability to predict when excess parts, products, and practices threaten to impede work.

Intelligent Automation is clearly on a winning streak!

The potential value of AI and automation is immense for different sectors and will vary depending on the type of industry, availability of abundant and complex data, use cases, and other factors. To get the most out of your automation initiatives, it is however important to tide over organizational challenges with the right mindset and approach.

Create impact and value with Trigent

Trigent with its team of technology experts empowers you to stay relevant and competitive. It is equipped with insights and intelligent solutions to dramatically boost your bottom line and improve customer engagement.

Allow us to help you grow your business and increase revenue with strategies and solutions that are perfect for you.

Call us today for a business consultation

References
1. https://www.analyticsinsight.net/intelligent-automation-accelerating-speed-and-accuracy-in-business-operations/
2. https://datacentremagazine.com/technology-and-ai/alibaba-group-adopts-ai-and-automation-singles-day

AI Implementation Checklist – 5 Points to Evaluate Before Adopting AI in Your Organization

Artificial intelligence is now all around us in household gadgets as well as business workflows. AI adoption is rampant across sectors; the global artificial intelligence market is expected to reach $ 266.92 billion by 20271 at a CAGR of 33.2% during 2019-2027. Nearly half of the respondents who had participated in a survey confessed to being interested in AI implementation and machine learning to improve data quality.

No doubt, artificial intelligence is the proverbial genie that does everything we want it to do without even rubbing the magic lamp. But the lack of nuance and failure to spell out caveats can result in AI systems that will make us think twice before we wish for anything.

Believe it or not, misaligned AI can be a nightmare.

A classic case is YouTube2, with its AI-based content recommendation algorithms that led to users accusing it of radicalization. Its constant upping-the-ante approach led users to extreme content in a bid to maximize viewing time. So videos on vegetarianism led to veganism, and jogging searches resulted in ultramarathons. This unintentional polarizing and radicalizing highlights one significant challenge: we have yet to define the goals accurately for our AI systems!

The sad truth is that we don’t even know what we want, at least not from our autonomous systems and gadgets and other possessions. For instance, a self-driving car may be too slow and brake too often just the way it was designed to prevent itself from colliding with nearby objects. But the object could be as insignificant as a paper bag that was blown away by the wind.

What we need is goal-oriented AI born with a solid sense of purpose with excellent human-machine coordination. But only after you have answered the question- Do I really need AI?

Here’s is your ultimate AI implementation checklist

AI has ample scope in many sectors. AI can interact on your behalf with customers, as in the case of chatbots, or help healthcare providers diagnose cancer and other ailments. If leveraged well, it can help you turn a new leaf in critical interactions with your customers. Understanding the potential of AI and applying it to enhance critical business values can make a world of difference to your business. The key is to know where you stand and whether AI can help you attain your business goals.

Identify the purpose

Organizations with successful AI implementations are usually the ones that have assessed its financial impact or conducted a thorough risk analysis for AI projects. Having the right metrics in place gives you a sneak peek into the risks and benefits of AI implementation and how it would perform in those chosen areas. While it may not guarantee a positive ROI, it gives you a fair idea about what to expect. 

Accuracy, for instance, is an important metric, but it’s not enough to understand how well your AI systems are performing. You need to correlate  AI metrics to business outcomes to ensure you get the most out of your investments. 

The smart pricing tool created by Airbnb to eliminate pricing disparities between black hosts and white hosts presents a classic example. While the AI-based system performed the assigned tasks with precision, the business results fell short – widening the gap further by 20%. 

Appoint mixed-role teams for all AI initiatives

Those who have implemented AI successfully will tell you how crucial it is to build mixed-role teams comprising project managers, strategists, application designers, AI researchers, and data scientists to ensure a diversity of thought and skillsets. As per a Garnet Research Circle survey3, skills are the first barrier to AI adoption, and 56 percent of respondents believed new skills are required for new and existing jobs.

AI needs experts for it to evolve to its best version. TayTweets, a promising chatbot by Microsoft, was nothing but fun, and people loved talking to her. Until, of course, she became the nastiest chatbot ever in less than 24 hours, responding with offensive tweets. It demonstrates how horribly things can go wrong when AI and ML go awry when left unchecked.

Diversity in technical acumen enhances the value of AI to customers since the people working with AI know-how and where it should be used to have the most significant impact. Whether you want to hire new people or train existing ones for newer roles and responsibilities is something you will have to decide based on the business initiatives you have in mind.

Make a business case for AI

Businesses need AI for different reasons ranging from data security and fraud detection to supply chain management and customer support. You need to identify the use cases and applications to determine how AI can be effectively used. Organizations depend on AI to analyze contextual interaction data in real-time and compare it with historical data to get insights and recommendations.

Data plays a pivotal role in every aspect of a business. While a lot of emphases is placed on coding, math, and algorithms, many organizations are not able to apply the data acquired effectively in a business context. You will have to understand who you are building these solutions for and what technology framework you will require to do so.

As Moutusi Sau, principal research analyst at Gartner4, points out, “Business cases for AI projects are complex to develop as the costs and benefits are harder to predict than for most other IT projects. Challenges particular to AI projects include additional layers of complexity, opaqueness, and unpredictability that just aren’t found in other standard technology.”

Assess your AI maturity

It is impossible to arrive at a strategy without evaluating where you stand against the AI maturity model. Once you know it, you can decide the next steps. Typically, the AI maturity model has five levels:

Ø Level 1 – There is awareness in the organization, and AI implementation is being considered, but no concrete steps have been taken in that direction.

Ø Level 2 – AI is actively present in proofs of concept and pilot projects.

Ø Level 3 – AI is operational, and at least one AI project has made its way to production with a dedicated team and budget. 

Ø Level 4 – AI is part of new digital projects, and AI-powered applications are now an essential part of the business ecosystem.

Ø Level 5 – This should be the ultimate goal where AI is now ingrained in the organizational DNA and plays a transformative role for your business. 

Look beyond the hype

AI can cause ‘cultural anxiety’ as a significant shift in thought and behavior is necessary for successful AI adoption. A compelling story to help employees understand how AI would be beneficial to all is necessary to ease the resistance they might feel towards the change.  CIOs should recognize their fears and anxiety of the possibility of being replaced by machines and encourage an open dialogue with team members. This will build trust and help determine if the organization is ready for AI.

The hype around AI itself can sometimes be the biggest problem as organizations hurry to hop onto the AI bandwagon with insufficient understanding of its impact. Explains Whit Andrews, distinguished vice president analyst at Gartner, “AI projects face unique obstacles due to their scope and popularity, misperceptions about their value, the nature of the data they touch, and cultural concerns. To surmount these hurdles, CIOs should set realistic expectations, identify suitable use cases and create new organizational structures.” 

 AI to Impact

The biggest mistake organizations make when they invest in AI is that they have too many expectations and little understanding of AI capabilities. Rather than getting caught in the hype, you have to be realistic and evaluate its role critically in furthering your business objectives.

AI is an expensive investment that will give you good returns if you know how to use it. A lot of tools are good, but not every AI tool is suitable for your business. What you need is the right AI implementation strategy created with professional help from those who know AI like the back of their hand.

Adopt AI with Trigent

Artificial intelligence is a defining technology that can be successfully integrated into business workflows and applications. We at Trigent have been helping organizations from diverse sectors, including healthcare, retail, BFSI, and logistics, create AI operating models that are optimized for faster and effective outcomes. 

We can help you, too, with everything from strategy and implementation to maintenance and support.

Call us today to book a business consultation

References

  1. https://www.fortunebusinessinsights.com/industry-reports/artificial-intelligence-market-100114
  2. https://firstmonday.org/ojs/index.php/fm/article/view/10419/9404
  3. https://www.gartner.com/smarterwithgartner/3-barriers-to-ai-adoption/
  4. https://www.gartner.com/smarterwithgartner/how-to-build-a-business-case-for-artificial-intelligence/

Transportation and Logistics Go Places with RPA at the Helm

Tedious, repetitive tasks can put quite a drain on your time, especially when you would rather spend it on more meaningful activities. Take emails, for instance, you cannot do without them, you cannot ignore them, and there will be quite a few that will require you to prioritize and take action.

Sifting through the entire information to take only the necessary data to the operating system for crafting a response can be overwhelming especially when you would want to focus on important activities such as building relationships with customers or planning for business growth. Thankfully, after a successful run across industries including financial services, healthcare, and hospitality, Robotics Process Automation (RPA) has now made its debut in transportation and logistics.

RPA bots are easy to use and you can integrate them with your existing technology infrastructure even if the systems they work with do not integrate with one another. The fact that the global robotic process automation market size is expected to touch $13.74 billion by 2028 at a CAGR of 32.8% over the forecast period only makes it evident how eager enterprises are to adopt RPA.

Enterprises have always been on the lookout for ways and means to monitor costs and resources. RPA offers them just that, making its way across business departments and processes reducing human error, and amplifying throughput.

Some organizations have been hesitant to adopt RPA because they weren’t sure if their scale could support this technology. The capabilities that RPA brings along are however helping them realize its value and potential. No matter which industry we speak about, transportation and logistics form an integral part of their supply chain. Any improvement in business processes thus has a positive impact on all others.

It’s time we delved deeper into the benefits and use cases that make RPA the smartest solution out there for streamlining processes in transportation and logistics.

The RPA benefits

RPA offers several benefits when you put RPA at the helm of business processes. Jaguar Freight recently announced its decision of choosing RPA Labs for the documentation of its document processes.

Speaking about its decision, Simon Kaye, President, and CEO of Jaguar Freight elaborated, “We recently partnered with RPA Labs, who does a tremendous job automating a lot of the heavy lifting within our organization. They helped us in two areas – one is taking a lot of raw data from client documentation, commercial invoices, and packing lists, and populating that automatically in our system, where previously there was a fair amount of data entry, which caused a lot of errors and delays.”
Not just big enterprises, but even startups are now eagerly embracing the power of RPA to streamline their operations.

Some of the top benefits of leveraging RPA solutions include:

  • Time – Automation has always saved enterprises a lot of time, but RPA tools streamline tasks helping them further bring down the process cycle time significantly.
  • Accuracy – Due to the absence of manual intervention, RPA ensures high accuracy. Tasks performed are usually error-free and in the rare event that an error occurs, it can be found and fixed easily. This is possible because RPA-driven processes are recorded and easily retrieved.
  • Productivity – Higher accuracy ensures better work management. It helps enterprises align processes with their business goals ensuring productivity is at an all-time high.
  • Revenue – With reduced process cycle times and increased accuracy and productivity, enterprises are able to devote their time to grow their business and increase revenue.

To take a closer look at the different processes that benefit from RPA and understand how RPA plays a role in enhancing organizational efficiencies, let’s look at its applications.

Order processing and tracking

The one area that involves endless manual data entries and can improve significantly is order processing and tracking. It’s not just tedious and time-consuming but also very resource-intensive. Manual errors can prove to be extremely costly at this stage. RPA enables organizations to process orders efficiently. PRO numbers of shipments are picked up from a carrier’s website automatically via bots and loads are closed out in no time.

Tracking continues with the help of IoT sensors even after orders are processed and shipped. IoT sensors also ensure that products can be traced based on their last known location in case they get misplaced during transit. The rationale is to keep both employees and customers in the loop so that the status of shipments is known to all concerned at all times.

The RPA tool also sends out updates in the form of emails at regular intervals. This feature comes in handy when the transit period is too long. Customers also get plenty of time to schedule pick-up times based on the location of the product.

Inventory management

Another important task that comes under the domain of RPA in supply chain and logistics is that of inventory monitoring. After all, supply needs to be aligned with the demand for products and the expectations can be met only when you know exactly how many products are left and when new shipments are going to be needed.

RPA tools look into this aspect and send a notification to concerned employees about the number of products remaining and even order new products as required. Supply and demand planning is possible only when you are able to analyze diverse data from suppliers, customers, distributors, and your workforce. RPA can gather, store, and analyze data to help you tide over these challenges and maintain a steady supply.

Invoice management

Like order processing, invoice management also involves entering and processing a huge amount of data. With RPA tools, you can substantially reduce the stress of going through invoice documents and ensure error-free processing. In a typical business scenario in transport and logistics, orders are received, processed, and shipped in large numbers every day.

While it took days in the pre-RPA era to process invoices, RPA ensures that invoices are processed quickly and accurately, extracting only pertinent information to enable automatic payments. This helps businesses reduce the average handling time by 89% with 100% accuracy and achieve a resource utilization of 36%.

Report generation

You need reports for just about everything; be it for processing payments, gathering customer feedback, or managing shipments. When it comes to transportation, report generation assumes a whole new level especially when you are tracking movements from city to city, port to port. Often, it can get tiresome and challenging.

RPA helps you manage all your report-related chores with ease thanks to its ability to screen information. Minus the human intervention, RPA-generated reports are highly accurate. Modern enterprises combine the capabilities of RPA with Artificial Intelligence to generate precise reports and even make sense of them to offer actionable insights.

Communication and customer satisfaction

In a sector as busy and extensive as transportation, communication is the key to better relations and customer satisfaction. Customers need timely updates and the fact that multiple vendors and partners are divided by distance and time zones can sometimes pose challenges in communication. This is where RPA tools such as chatbots and auto-responders come into play.

They communicate, interact, and answer customer queries. They also push notifications as often as required to inform concerned authorities about order status or shipment delays or other related matters. This in turn ensures a high level of customer satisfaction. Given the stiff competition, it is the only way customers are going to keep coming back for more.

While old customers are happy to hang around, new customers will look forward to a long association thanks to RPA-enabled services. The best part about RPA tools is that they allow you to link information across stages and processes to have the right information necessary for providing efficient customer service and 24X7 support.

Take your business to new heights with Trigent

Trigent with its highly experienced team of technology experts is helping enterprises improve process cycle times and create new opportunities for increasing revenue. They can help you too with the right RPA tools and solutions to enhance process efficiencies and create better customer experiences.


Allow us to help you manage your workflows and add value with RPA. Call us today to book a business consultation.

How universities are using AI to power operational efficiency

The role of technology in the education industry has witnessed some monumental trendsetters, right from 2019, which saw the advent of Big Data, Internet of Things (IoT), and Machine Learning. Artificial Intelligence (AI) has also been a significant contributor, revolutionizing education. Keeping up with the changing times, universities have started embracing AI. A Market Search Engine report has predicted that AI will become the primary trend and grow more than 45% by 2024. The pandemic has also proven to be a catalyst for positive change, accelerating universities’ education technology needs.

Artificial intelligence has been in use for quite some time now. Several industries have already leveraged this new-age technology and seen substantial improvements in their processes. The education sector is the latest to join the AI bandwagon. Colleges and universities globally have introduced AI in their instructional and institutional operations. Managing the entire operations—right from student screening to placements—has been an arduous task, but not anymore.

Leveraging the power of AI

AI’s influence across universities

Recent advancements in AI have made the academic world more convenient and personalized. It has not just made education accessible to students but helped universities automate and speed up tedious administrative tasks.

Admissions and student screening

Leveraging cognitive technologies in the admission process helps universities predict the applicants most likely to be accepted and enrolled, their states and countries, courses they choose, and if they’ll become engaged alumni. AI speeds up the admission and administrative processes, including admissions decisions, visa processing in case of an international student, student housing selection, and course registration.

Taylor University in Upland, Indiana, deployed algorithms to maximize their student recruitment with a competitive skill set.

Round-the-clock query resolution

Educational institutes use chatbots to perform multiple functions, including conversations with students, answering queries besides assessing and correcting assignments. Chatbots also store, process, and communicate data.

Georgia State University installed ‘Pounce’ to address issues/obstacles faced by students, including enrollment, class registration, placement exams, and financial aid applications. Students connect to the bot through smart-text messaging and resolve their queries 24/7.

Video-assisted remote learning

Overnight, distant learning has become the top trend due to the pandemic, giving rise to online education to help students effectively learn without disruptions. Though AI can never replace a human, video calls for better teacher-student engagement, irrespective of their location. By using AI-enabled Learning Management System (LMS), teachers can monitor student progress. Students are classified based on their learning ability and content designed to suit each learning style. Reading assignments and long lectures can be broken into smaller segments, helping students understand them better. Machine learning, along with text summarization, can transcribe complete lectures. Students can also connect with their peers, exchange notes, and clear doubts, real-time, while teachers can pay attention to students who require personalized coaching.

Ivy Tech, a community college, having campuses across Indiana, leveraged AI to enable its student base to perform better. An algorithm was developed to monitor students’ online behavior patterns and identify students at risk of failing. Around 3,000 students were assisted, thereby improving their chances of getting better grades.

Immersive content with AR/VR

Virtual experiential learning has pushed the boundaries of traditional education. Immersive technologies like Augmented Reality (AR) and Virtual Reality (VR) provide a digitally constructed environment to enhance the learning experience. Students can perform science experiments, surgeries, or even explore the universe, along with their peers.

Arizona State University introduced virtual reality (VR) labs for its biology students. They draw blood, analyze samples, manipulate DNA, and perform experiments, all without leaving their study spaces.

Monitoring students’ performance

Machine learning tracks students’ progress and needs individually and provides insights for enhanced outcomes. Teachers can use these insights to better cater to each student’s academic and personal growth.

Kent State University in Ohio has integrated AI in its developmental math program. With ALEKS (Assessment and Learning in Knowledge Spaces), students take online classes in a monitored classroom, often assisted by a graduate assistant, faculty member, or peer tutor. Based on the student’s understanding, the difficulty of math problems is adjusted.

Placement assistance

AI-powered platforms and digital analytics can help universities to manage placement and alumni efficiently. Conversational AI, powered by human expertise, is integrated to plan on-campus push, campus recruitments, assist students in cracking placement exams, and monitor their progress.

Automating administrative processes

Administrative tasks, though time-consuming, are a necessary function. Administrators are often overwhelmed with repetitive work such as new student admissions, managing class schedules, student attendance, processing grades, and monitoring placements. Automation is a crucial way to reduce their burden substantially and keep the processes running smoothly. The staff can eliminate manual routines and instead focus on more creative and inventive roles.

New York University has deployed BobCat, an AI program that maintains the institution’s library. It plays a librarian’s role, helping students and teachers search, scan, and get library resources such as books/ebooks, sound recordings, videos, e-journals, etc. It also keeps track of the repository, maintains check-out and records for all returns.

AI has enhanced the way teachers run their classrooms. It has also helped administrators expedite their tasks. It replaces the traditional pen-and-paper method with innovative teaching methods, collaborative task management, and seamless operations. Recognizing the potential AI brings to the table, universities, in collaboration with IT companies, are deploying intelligent algorithms. These timely interventions are helping universities address challenges and drive efficiency across functions.

Conclusion

Artificial intelligence is undeniably transforming the education sector worldwide, and the potential for progress is tremendous. With artificial intelligence surpassing human abilities and making a difference in the way universities function in more profound ways, it is the right time to jump on the bandwagon. And for that, you need an expert partner.

At Trigent, we provide AI solutions that are easy to use and intuitive, ensuring seamless adoption of this latest technology. With Trigent’s AI-powered tools, you can accelerate your digital transformation initiative in this new normal successfully.

Reach out to us for a business consultation. We’d be happy to partner with you on your AI adoption journey.

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