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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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 monitoring their progress.

  7. 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.

Power Immersive, Engaging, Impactful Learning Experiences with AR/VR

The education sector, like many others, has been hugely impacted owing to the COVID-19 pandemic. Not that it wasn’t familiar to disruption. Homeschooling, online degree programs, virtual classrooms have all been progressive steps in the direction of transformative technological innovation. But with Virtual Reality (VR) and Augmented Reality (AR) coming into the picture, things have changed radically for the education sector.

We are now talking about some really innovative stuff – the kind that makes learning engaging and interactive, that takes students beyond the realms of their classrooms to explore new dimensions in learning and comprehension.

We are treading into an era of experiential learning driven by AR/VR.

The research by MarketsandMarkets suggests that the global EdTech and smart classroom market is growing at a CAGR of 16.1% from USD 85,818 million in 2020 to USD 181,265 million by 2025. It’s not surprising then to find technology dominates every sphere of learning and education.

Propelling-immersive-learning-with-AR-VR

Morehouse College, the alma mater of Martin Luther King Jr., is now conducting three classes in VR powered by the Engage-based Victory XR platform. Having created more than 240 VR & AR experiences covering more than fifty different learning units for diverse subjects, the college has created a digitized campus where everyone can connect and collaborate.

Opines Dushunte Carmon, the project’s chief advocate within Morehouse College, “With the increasing amount of technology that is occurring in education, people have to learn and teach in a different way, they have to be innovative. The discovery of Victory XR was the dimension I had been looking to add to Morehouse College for the last two years. This is a game-changer not only for Morehouse College but for colleges and universities around the world.”

The New Normal has compelled colleges and universities to reach out to students albeit remotely. AR and VR have come to their rescue opening new avenues for a more engaging distance learning experience. In tandem with Artificial Intelligence (AI), they promise a hyper-immersive learning experience that puts experiential learning at the fore of things. Modern students are now relying on a digital ecosystem that will continue to thrive with time. As transformative teaching technologies continue to power learning experiences across the globe, here’s how the contemporary education landscape looks like.

Learning without borders

Following a partnership between Almo Professional A/V and ARHT Media Inc., a Toronto-based holographic solutions developer, we now have pioneering technology that enables high-quality, low-latency AV streaming with end-to-end encryption. Imagine what this could do in the field of education. Viewers can now attend lectures remotely without wearing 3D glasses to see lecturers right in front of them as live holograms.

Ideal for conference halls, corporate boardrooms, and large training centers, this plug-and-play cabinet on wheels dubbed as the HoloPod is helping universities transcend borders. So guest lecturers from anywhere in the world can now pop up right in front of you and deliver a truly interactive, engaging experience.

A lot more than a laptop

San Jose-based zSpace is breaking barriers between users and computers through their innovative laptops that offer a multidimensional AR/VR environment. With 3-D technology at its helm, it offers immersive experiences with 3D content popping out of the screen. It functions as an all-in-one PC and allows users to enjoy learning experiences from wherever they are with the help of head tracking and lightweight glasses.

Every time students tilt their heads to view something, the software is quick to take notes and tweak the perspective accordingly. What students get is real-time exposure to scenarios that they would have never had a chance to experience otherwise. For instance, those learning automotive technology gravitated to learning beyond regular lessons diving further into motors, transmissions, and other related stuff.

Closing the gap in distance learning

Students often lose their interest and focus during distance learning due to a lack of interaction. The beauty of VR is that it allows just about everybody to enjoy learning in simulated settings, no matter how complex their subject is. The University of California at San Francisco (UCSF) enables its students to use VR to simulate real-life surgery while the students at Averett University in Danville, Virginia are ‘virtually’ exploring the inner workings of the human body going all the way to the cellular level. This kind of distance learning also eliminates errors allowing students to focus on the finer details of the human anatomy. AR, on the other hand, enhances every possible subject from STEM to humanities.

Colleges are now also offering campus tours virtually giving students the feel of physically being there without actually having to travel. Without the distance, students feel less inhibited and are enthusiastically taking up language and culture classes while eavesdropping on conversations in a foreign café emulating native speakers.

Improving learning outcomes with AI

As machine learning tools and techniques enter the scene, educational applications are gearing up for new breakthroughs. Researchers are now using advanced image recognition to detect aggressive forms of cancer while others are using AI teaching assistants and voice-enabled assistants like Alexa to help students with answers to frequently asked questions.

AI has also been helping organizations worldwide produce smart, personalized content. It has opened up new avenues to students with learning disabilities and special needs. By creating a more inclusive environment, AR, VR, and AI have changed the dynamics for learning and education.

Can we make AR/VR mainstream?

AR/VR undoubtedly has a lot to offer to the field of education. It is however important to have the right infrastructure. Adequate wireless network capacity, computers with the necessary computing power, and devices that enable immersive technologies are some of the prerequisites to getting started on an AR and VR-enabled learning journey. Hi-quality sensors, cameras, smartphones, headsets, glasses, etc. are needed to experience and enjoy learning in the true sense.

Clearly, there are several challenges on the road to AR/VR-driven learning. Educational technologies come with a price and at times it can be a bit overwhelming to get the best in EdTech. Late adopters may have to grapple with fundraising and may have to look for investors. There has to be enough quality content too that can be rolled out through the right distribution channels. Also, it will take a while for educators, administrators, and students to get used to diverse formats and platforms.

Institutions are contemplating crowdsourcing VR experiments and experiences in a bid to increase adoption and allow access through libraries, technology hubs, etc. No doubt, transformative technologies like AR/VR are going to be a tad expensive, to begin with, but the benefits are far too many to ignore and universities across the world will adopt them sooner than later.

Teach with Trigent

AR/VR can resolve the challenges in learning born in the wake of the New Normal. At Trigent, we help educational institutes and decision-makers tide over challenges in adopting transformative teaching technologies with the right tools, solutions, and data-driven processes. We can help you improve efficiencies to build the perfect ecosystem to make learning collaborative, impactful, and seamless across geographies.

Call us today to know more. We are eager to partner with you on this incredible journey.

4 Rs for Scaling Outsourced QA. The first steps towards a rewarding engagement

Expanding nature of products, need for faster releases to market much ahead of competition, knee jerk or ad hoc reactions to newer revenue streams with products, ever increasing role of customer experience across newer channels of interaction, are all driving the need to scale up development and testing. With the increased adoption of DevOps, the need to scale takes a different color altogether.

Outsourcing QA has become the norm on account of its ability to address the scalability of testing initiatives and bring in a sharper focus on outcome-based engagements. The World Quality Report 2020 mentions that 34% of respondents felt QA teams lack skills especially on the AI/ML front. This further reinforces their need to outsource for getting the right mix of skill sets so as to avoid any temporary skill set gaps.

However, ensuring that your outsourced QA gives you speed and scale can be a reality only if the rules of engagement with the partner are clear. Focusing on 4 R’s as outlined below while embarking on the outsourcing journey, will help you derive maximum value.

  1. Right Partner
  2. Right Process
  3. Right Communication
  4. Right Outcome

Right Partner

The foremost step is to identify the right partner, one with a stable track record, depth in QA, domain as well as technology, and the right mix of skill sets across toolsets and frameworks. Further, given the blurring lines between QA and development with testing being integrated across the SDLC, there is a strong need for the partner to have strengths across DevOps, CI/CD in order to make a tangible impact on the delivery cycle.

The ability of the partner to bring to table prebuilt accelerators can go a long way in achieving cost, time and efficiency benefits. The stability or track record of the partner translates to the ability to bring onboard the right team which stays committed throughout the duration of the engagement. The team’s staying power assumes special significance in longer duration engagements wherein shifts in critical talent derails efficiency and timelines on account of challenges involved with newer talent onboarding and effective knowledge transfer.

An often overlooked area is the partner’s integrity. During the evaluation stages, claims pertaining to industry depth as well as technical expertise abound and partners tend to overpromise. Due care needs to be exercised to know if their recommendations are grounded in delivery experience. Closer look at the partner’s references and past engagements not only help to gain insight into their claims but also help to evaluate their ability to deliver in your context.

It’s also worthwhile to explore if the partner is open to differentiated commercial models that are more outcome driven and based on your needs rather than being fixated on the traditional T&M model.

Right Process

With the right partner on board, creating a robust process and governing mechanism assumes tremendous significance. Mapping key touchpoints from the partner side, aligning them to your team, and identifying escalation points serve as a good starting point. With agile and DevOps principles having collaboration across teams as the cornerstone, development, QA, and business stakeholder interactions should form a key component of the process. While cross-functional teams with Dev QA competencies start off each sprint with a planning meeting, formulating cadence calls to assess progress and setting up code drop or hand off criteria between Dev and QA can prevent Agile engagements from degrading into mini waterfall models.

Bringing in automated CI/CD pipelines obviates the need for handoffs substantially. Processes then need to track and manage areas such as quality and release readiness, visibility across all stages of the pipeline through reporting of essential KPIs, documentation for managing version control, resource management, and capacity planning. At times, toolset disparity between various stages and multiple teams driving parallel work streams creates numerous information silos leading to fragmented visibility at the product level. The right process should focus on integration aspects as well to bridge these gaps. Each team needs to be aware and given visibility on ownership at each stage of the pipeline.

Further, a sound process also brings in elements of risk mitigation and impact assessment and ensures adequate controls are built into SOP documents to circumvent any unforeseen event. Security measures is another critical area that needs to be incorporated into the process early on, more often it is an afterthought in the DevOps process. Puppet 2020 State of DevOps report mentions that integrating security fully into the software delivery process can quickly remediate critical vulnerabilities – 45% of organizations with this capability can remediate vulnerabilities within a day.

Right Communication

Clear and effective communication is an integral component of QA, more so when DevOps, Agile, and similar collaboration-heavy initiatives are pursued achieving QA at scale. Effective communication at the beginning of the sprint ensures that cross-functional teams are cognizant of the expectations from each of them and have their eye firmly fixed on the end goal of application release. From then on, a robust feedback loop, one that aims at continuous feedback and response, cutting across all stages of the value chain, plays a vital role in maintaining the health of the DevOps pipeline.

While regular stand-up meetings have their own place in DevOps, effective communication needs to go much beyond to focus on tools, insights across each stage, and collaboration. A wide range of messaging apps like Slack, email, and notification tools accelerate inter-team communication. Many of these toolkits are further integrated with RSS feeds, google drive, and various CI tools like Jenkins, Travis, Bamboo, etc. making build pushes and code change notifications fully automated. Developers need notifications when a build fails, testers need them when a build succeeds and Ops need to be notified at various stages depending on the release workflow.

The toolkits adopted by the partner also need to extend communication to your team. At times, it makes sense for the partner to have customer service and help desk support as an independent channel to accept your concern. The Puppet report further mentions that companies at a high level of DevOps maturity use ticketing systems 16% more than what is used by companies at the lower end of the maturity scale. Communication of the project’s progress and evolution to all concerned stakeholders is integral irrespective of the platforms used. Equally important is the need to categorize communication in terms of priority and based on what is most applicable to classes of users.

Documentation is an important component of communication and from our experiences, commonly underplayed. It is important for sharing work, knowledge transfer, continuous learning and experimentation. Code that is well documented enables faster completion of audit as well. In CI/CD based software release methodology, code documentation plays a strong role in version control across multiple releases. Experts advocate continuous documentation as core communication practice.

Right Outcome

Finally, it goes without saying that setting parameters for measuring the outcome, tracking and monitoring those, determines the success of the partner in scaling your QA initiatives. Metrics like velocity, reliability, reduced application release cycles and ability to ramp up/ramp down are commonly used. Further, there are also a set of metrics aimed at the efficiency of the CI/CD pipeline, like environment provisioning time, features deployment rate, and a series of build, integration, and deployment metrics. However, it is imperative to supplement these with others that are more aligned to customer-centricity – delivering user-ready software faster with minimal errors at scale.

In addition to the metrics that are used to measure and improve various stages of the CI/CD pipeline, we also need to track several non-negotiable improvement measures. Many of these like deployment frequency, error rates at increased load, performance & load balancing, automation coverage of delivery process and recoverability helps to ascertain the efficiency of QA scale up.

Closely following on the heels of an earlier point, an outcome based model which maps financials to your engagement objectives will help to track outcomes to a large extent. While the traditional T&M model is governed by transactional metrics, project overlays abound in cases where engagement scope does not align well to outcome expectations. An outcome based model also pushes the partner to bring in innovation through AI/ML and similar new age technology drivers – providing you access to such skill sets without the need for having them on your rolls.

If you are new to outsourcing, or working with a new partner, it may be good to start with a non-critical aspect of the work (for regular testing or automation), establish the process and then scale the engagement. For those players having maturity in terms of adopting outsourced QA functions in some way or the other, the steps outlined earlier form an all inclusive checklist to ensure maximization of engagement traction and effectiveness with the outsourcing partner.

Partner with us

Trigent’s experienced and versatile Quality Assurance and Testing team is a major contributor to the successful launch, upgrade, and maintenance of quality software used by millions around the globe. Our experienced responsible testing practices put process before convenience to delight stakeholders with an impressive industry rivaled Defect Escape Ratio or DER of 0.2.

Trigent is an early pioneer in IT outsourcing and offshore software development business. We enable organizations to adopt digital processes and customer engagement models to achieve outstanding results and end-user experience. We help clients achieve this through enterprise-wide digital transformation, modernization, and optimization of their IT environment. Our decades of experience, deep domain knowledge, and technology expertise delivers transformational solutions to ISVs, enterprises, and SMBs.

Contact us now.

Top 7 Trends That Will Drive Healthcare in 2021

2020 brought along challenges as well as opportunities for diverse sectors including healthcare. We’re now stepping into an era of digital transformation that will push the boundaries for healthcare in incredible ways with a profound impact.

As per the Council for Affordable Quality Healthcare’s 2020 Index, the US healthcare industry is missing out on billions of dollars in potential annual savings due to lack of adequate workflow automation to carry out common business transactions. Apart from the $122 billion that it has already saved through automation, it can save an additional $16.3 billion by fully adopting nine common transactions.

The CAQH said in a statement, “For example, each fully automated claims status inquiry costs $11.71 less than the same transaction conducted manually for the medical industry and $10.92 less for the dental industry. Similarly, every eligibility and benefit verification converted from manual to electronic saves the medical industry $8.64 and the dental industry $8.75. Considering the millions of times these transactions occur every day, the savings potential across the healthcare economy is significant.”

The healthcare sector is now more focused than ever on simplifying workflows and reducing the burden associated with administrative tasks while keeping automation at the helm of all its initiatives. We bring to the fore the top 7 trends in healthcare that iterate the role of automation in making patient-centered, outcome-based systems a priority.

  1. API-enabled EHRs to improve interoperability

Application Programming Interface (API) enabled EHRs means patients get better access to data and manage healthcare outside the healthcare facility using their smartphones or computers. API adoption enhances interoperability and patient data sharing between providers thereby reducing clinical burden, and facilitates better care coordination. When deployed correctly, next-gen APIs create secure and compliant integrations to provide actionable data and advanced care through multiple avenues and channels.

Ben Moscovitch, project director of Health Information Technology at Pew Charitable Trusts opines, “If standard APIs were broadly adopted in health care, patients could access and compile their data from multiple providers while clinicians could process complicated information and make care recommendations. APIs would also offer other benefits, such as facilitating the exchange of clinical data among health care providers.”

  1. Robotic process automation or RPA for scaling operational efficiency

The data collected from various internal and external sources such as insurance portals, third-party portals, ERPs, clinical applications, scheduling applications, etc. can be overwhelming, and streamlining the flow of information across all these channels can be a labor-intensive task. Robotic Process Automation provides the much-needed respite by extracting relevant information from multiple sources and automating routine tasks to reduce costs, minimize errors, and improve operational efficiency.

According to Gartner, 50% of healthcare providers in the U.S. will invest in RPA in the next 3 years as a means to optimize costs and healthcare resources giving further impetus to RPA adoption. Explains Dr. Anurag Gupta, research vice president at Gartner, “Cost optimization is a consistently recurring theme among healthcare providers. The money that RPA saves by not having to spend as much on an unreformed process translates into cash that is available for front-end clinical functions, which is especially important while healthcare organizations combat the COVID-19 crisis.”

  1. Telehealth for remote care

Telehealth has been instrumental in providing care virtually during the pandemic that made social distancing mandatory. In no time, everyone was convinced about its immense potential and is fast becoming a preferred form of medical care. As President of VirtualMed Staff, Jack Williams explains, “When patients feel their care is as good or better than a routine visit in person, all from the comfort of home, those same patients will no longer endure long wait times when it is avoidable.”

Using technologies such as streaming media and video conferencing, telehealth will allow patients to choose healthcare providers and services irrespective of their geographic location through digital telehealth platforms. It will eliminate patient no-shows, travel time, wait time, etc. ensuring better efficiency and revenue for medical practitioners. Telehealth is also playing a pivotal role in improving disaster emergency response services through advanced volunteer registration, biological surveillance, hospital bed availability tracking, patient record management, etc.

Telehealth will continue to play a big role in addressing the healthcare needs of patients as part of their long-term healthcare plan even after the pandemic is behind us. A hybrid healthcare model has emerged ever since the pandemic accelerated advances in remote managed care for those with chronic conditions and those who had COVID-19 symptoms but did not require hospitalization. What we can now expect is a combination of telehealth and in-person visits to manage everything from routine follow-ups to critical care.

  1. Cloud-based LIMS for continuous access to data

The global Laboratory Information Management Systems (LIMS) market is expected to grow at a CAGR of 14.1% from 2019 to touch $2.21 billion by 2026. What was earlier conceptualized as a system to record test samples and particulars about donor and patient samples has now evolved to join the league of next-gen healthcare solutions using cloud technology.

LIMS on the cloud can connect multiple stakeholders and give users complete control over sample tracking, processing, and delivering while attaining scalability in their business. Patients too can track their records and maintain personal health data easily. LIMS software can schedule appointments and follow-ups for healthcare specialists and time slots of lab equipment in a highly efficient manner.

The modern LIMS software can be leveraged effectively as an interface between lab equipment and other devices in real time to enable the import and export of data for better coordination.

  1. Salesforce health cloud for improved patient experience

Salesforce health cloud provides a complete view of patients through easy-to-decipher dashboards that collate data from different sources to unite healthcare provider siloes. Using this data, healthcare providers can map the entire patient journey understanding their relationships to specialists at different junctures of healthcare.

Data is collected from different sources such as EHRs, medical devices, wearable activity trackers, etc. to build a patient history that includes details such as medical history, current medical conditions, lab results, etc. Salesforce admins can incorporate the necessary security features to ensure security compliance and also provide an omnichannel experience to patients so as to allow them to reach out for care from an app or channel they are most comfortable with.

  1. Artificial intelligence and integrated wearable technology for better health management

Although AI has been around for years, it has now become ubiquitous and a game-changer from a clinical, operational, and financial point of view. With machine learning, AI can segregate data, so that healthcare providers understand patients and their condition better to make more informed decisions. Shared insights across a large patient population can help chart the treatment course for patients to ensure better outcomes in the future.

AI is now helping develop predictive models during the pandemic to track the virus and estimate the risk based on the spread of the disease. It is also playing a big role in genomics – the study of an individual’s genes – attaching findings to electronic medical records of patients to optimize clinical decision-making.

Also trending are wearables that allow individuals to record steps, heart rates, blood pressure, and overall exercise regime. The global wearable market is expected to increase in size at a CAGR of 15.9% from 2020 to 2027 from USD 32.63 billion in 2019.
With AI and machine learning in the picture, wearables will help transform clinical research and treatment protocols while ensuring better more positive outcomes in healthcare.

  1. A digital front door to offer personalized care

Social distancing brought along a new challenge for healthcare providers – ramping up their digital capabilities to stay connected with patients during their hour of need. The idea of having a digital front door thus became necessary which was expected to be simple to use but purpose-built.

Writes Bruce Orcutt is Vice President of Marketing at ABBYY – Patients need healthcare services that can meet them where they are: in their own homes. Utilizing video platforms, native apps, and personalized web portals, digital healthcare offerings support a healthcare system that is convenient, timely, and best meets the needs of a wide array of patients.

No matter where a provider is on their digital journey, it is important to have granular, accurate, and comprehensive data to widen the digital front door. Discovering and analyzing operational processes and identifying bottlenecks will be important steps to enhancing operational workflows, reducing patient wait times, and creating a seamless patient experience. Considering that a digital front door creates first impressions in the minds of patients when they approach a healthcare facility, many are now investing in mobile apps for their organizations to host patient portals, telehealth visits, and other chores.

Wrapping up

The healthcare industry is all set to attain new frontiers with transformative technologies at its helm. At Trigent, we help healthcare organizations deploy future-ready technologies to get a 360-degree view of their people, processes, and data. We believe connected healthcare is the key to improving patient engagement and delivering quality care.

Allow us to help you with integrated healthcare solutions that will drive the future. Book a consultation today to know more.

Trigent excels in delivering Digital Transformation Services: GoodFirms

GoodFirms consists of researched companies and their reviews from genuine, authorized service-buyers across the IT industry. Furthermore, the companies are examined on crucial parameters of Quality, Reliability, and Ability and ranked based on the same. This factor helps customers to choose and hire companies by bridging the gap between the two.

They recently evaluated Trigent based on the same parameters, after which they found the firm excels in delivering IT Services, mainly:


Keeping Up with Latest Technology Through Cloud computing

Cloud computing technology has made the process of meeting the changing demands of clients and customers. The companies who are early adopters of the changing technologies always achieve cutting-edge in the market. Trigent’s cloud-first strategy is made to meet the clients’ needs by driving acceleration, customer insight, and connected experience to take businesses to the next orbit of cloud transformation. Their team exhibits the highest potential in cloud computing that improves business results across the key performance indicators (KPIs). The Trigent team is instilled with productivity, operational efficiency, and growth that increases profitability.

The team possesses years of experience and works attentively in the cloud adoption journey of their clients. The professionals curate all their knowledge to bring the best of services to the table. This way, the clients can seamlessly achieve goals and secure their place as a modern cloud based-enterprise. Their vigorous effort has placed them as the top cloud companies in Bangalore at GoodFirms website.

Propelling Business with Software Testing

Continuous efforts and innovations are essential for businesses to outpace in the competitive market. The Trigent team offers next-gen software testing services to warrant the delivery of superior quality software products that are release ready. The team uses agile – continuous integration, continuous deployment – and shift-left approaches by utilizing validated, automated tools. The team expertise covers functional, security, performance, usability, accessibility testing that extends across mobile, web, cloud, and microservices deployment.

The company caters to clients of all sizes across different industries. The clients have also sustained substantial growth by harnessing their decade-long experience and domain-knowledge. Bridging the gap between companies and customers and using agile methodology for test advisory & consulting, test automation, accessibility assurance, security testing, end to end functional testing, performance testing the company holds expertise in all. Thus, the company is dubbed as the top software testing company in Massachusetts at GoodFirms.

Optimizing Work with Artificial Intelligence

Artificial intelligence has been the emerging technology for many industries during the past decade. AI is defining technology by taking it to a whole new level of automation where machine learning, natural language process, and neural networks are used to deliver solutions. At Trigent, the team promises to support clients by utilizing AI and providing faster, more effective outcomes. By serving diverse industries with complete AI operating models – strategy, design, development, and execution – the firm is automating tasks. They are focused on empowering brands by adding machine capabilities to human intelligence and simplifying operations.

The AI development teams at Trigent are appropriately applying the resources to identify and govern a process that empowers and innovate business intelligence. Besides, with their help with continuous processes enhancements and AI feedback systems, many companies have been increasing productivity and revenues. Therefore, helping clients to earn profit with artificial intelligence, the firm would soon rank in the list of the artificial intelligence programming company at GoodFirms.

About GoodFirms

GoodFirms, a maverick B2B Research and Reviews Company helps in finding Cloud Computing, Testing Services, and Artificial Intelligence firms rendering the best services to its customers. Their  extensive research process ranks the companies, boosts their online reputation and helps service seekers pick the right technology partner that meets their business needs.

Can Machine Learning Power the Future of Software Testing?

Machine learning in software testing

Software testing professionals today are under immense pressure to make faster risk-based, go-live decisions, what with DevOps practices having shrunk the time to deliver test results. What was expected every two weeks is now expected umpteen times in a day.

The job of a tester has also become more demanding due to increasing complexities in applications. Testers are now expected to deliver a go/no go decision that compliments fast-paced development and deployment.

A recent piece announcing the launch of a data-driven ML-powered engine to assist testers sounds promising, but will it deliver on the promise?

Kawaguchi’s reasoning behind his new venture is based on the way different industries have benefited by using data to drive processes and efficiencies. He opines that the same can be replicated in the software industry, specifically to the practice of software testing.

Through Launchable, Kawaguchi plans to utilize machine learning to help provide quantifiable indicators that help testers perform risk-based testing and get a clear understanding of the quality and impact of the software when ready for deployment.

A machine learning engine is expected to predict test cases that could fail due to changes in the source code. Knowing in advance about test cases that are poised for failure would allow testers to run a subset of tests in an order that would minimize the feedback delay.

Our view on the use of machine learning in software testing

As testers, skeptics we are!!

Whilst there is no doubt that time to deliver has become a significant constraint for testers and automation helps to speed things up, the selection of tests to automate is still an expert-driven process.

When the quantum of changes are small and changes localized, we may probably be able to have an AI algorithm, that through a reduced set of features, can arrive at an intelligent risk assessment.

However, as testers, we have also seen that a small quantum of changes can result in a large regression impact. In this case, the feature set we may need to assess may be insufficient.

What if the quantum of change is large. The features that the algorithm needs to consider may not be limited to code alone, but also depend on a lot of external factors, including business considerations to drive the test focus decision. That makes the data points required for decision making, sizable.

To date, the ability of AI to replace human instinct and interplay is yet to be proven!

Until such a time, that one understands the features considered to assess risk. The biases that the algorithm may have absorbed while being trained. And that AI can replace critical thinking is proven – this will be one more output that will need to get assessed for the possible risk it can pose to the decision-making process.

Kosuke Kawaguchi is confident about his approach. That’s the claim he made when he announced the launch of his startup. We have eagerly signed up for a beta here, and will keenly observe the impact that these set of AI algorithms have on software testing.

Here’s to more innovations in this sphere!!

Learn more about Trigent software testing services or functional testing services.

Four disruptive technologies for Banking in 2019

In the brave new world of banking and financial services, technology has become the key to a locker filled with goodies. As a result, it is not impossible to imagine a future where opening a bank or a financial company is as simple as connecting an appliance. In that world, a robot could guide an investor on the best possible options or you could walk into a bank manned by robot tellers. PWC’s report titled ‘Financial Services Technology 2020 and Beyond: Embracing disruption‘ envisages a future where the impossible will become reality. While this list may seem a little too futuristic, banks and financial services organizations are already feeling the tremors of new technology waves that are disrupting existing business models to pave the way for faster, smarter, cheaper operations.

Here are a few emerging technology disrupters:

Distributed ledger technology (DLT)

Algorithms are enabling the collaborative creation of digital distribution ledgers that are far smarter than their paper counterparts. Distributed ledgers are asset databases that can be shared across multiple devices, sites, and geographies where participants can own identical copies of the ledger. Used for various purposes, these ledgers are stored in cryptographic forms and accessed with electronic keys and signatures. Participants, based on rule-based permissions, can update these ledgers, whenever required.

Accelerating change in financial services through Digital Transformation

Distributed ledgers are beneficial to banks as they can reflect changes on a real-time basis. As they are extremely secure, they prevent unauthorized entries, making corruption virtually impossible. As a technology solution, distributed ledgers reside on top of existing applications. Within the field of distributed ledgers, block chain is one more method of distributed ledgers. However, block chain is restricted to a sequential model while DLs do not necessarily fit into a sequential pattern when distributing ledgers. Distributed ledgers may be a good first step forward with immediate benefits for the banking sector.

Artificial Intelligence

Robo-advisor – Fancy though the name sounds, robo-advisors have been around for over a decade. However, it is only in the recent past that this concept has gained popularity. Robo-advisor is an algorigthm-based AI for automated financial advice. This concept has become especially popular for small investors with limited investment options. However, even in cases of larger investments requiring complex decision-making, robo advisors help to automate activities such as tax losses and rebalancing. Robo advisors are useful for single investment goals, and are very good with automated portfolio rebalancing.

As an add-on service, banks can provide value-added services to customers using robo-advisors. Customers can, thus, benefit from customized financial plans and automated investing. One of the key advantages of robo-advisors is the ability to negate human-made calculation mistakes. Uncolored by human emotions, robo-advisors rely purely on algorithms and numbers, reducing chances of errors in investment decisions. In the competitive world of banking, robo-advisors can combine the derive intelligence on existing customers to offer customized investment plans that are beneficial to banks and customers.

e-KYC and identity

Know Your Customer (KYC) is a process adopted by businesses who offer products and services to traders, customers and agents. It is also a process followed by financial services organizations to adhere to regulatory requirements and also to target segment customers. Till recently KYC was a physical activity which required human intervention. While several organizations continue to rely on physical KYC, some forward thinking financial institutions are incorporating eKYC as a procedure for information and verification on customers. By minimizing paperwork and manual labor, eKYC presents a huge opportunity for banks to reduce operational costs without compromising security and information. eKYC reduces paper dependencies thereby helping to avoid identity thefts, and eliminating forgery. Banks can adopt eKYC as it is extremely secure. In the future, eKYC would be the first step forward in a world of secure, paperless transactions.

Cybersecurity

According to the 2017 True Cost of Fraud Study from LexisNexis® Risk Solutions, financial services companies earning at least half of their revenues through digital channels incur up to $3.04 in costs for every dollar lost to cyber-fraud. However, as per the same survey, banks that adopted a multi-layered approach to cybersecurity experience less than 50 percent of the average losses attributed to lapse in cyber security. To ensure cybersecurity, banks are leaning on digital identity intelligence, advanced behavioral analysis, clear-box machine learning technics and integrated risk based authentication. With over one billion new internet users entering the field on an annual basis, the fear of cyber threats can be extremely overwhelming. However, digital identity-based authentication is helping to control fears while providing a real boost to this industry.

To summarize, technology disruptors are providing opportunities and challenges to the banking sector. While challenges such as data breaches, cyber attacks and compromised data will be a fear factor, banks that want to meet the heightened needs of customers should plunge ahead and adapt digital technologies for competitive success.