Transitioning to Telehealth

Telehealth opened the doors to remote care and cure at a time when visiting clinics for consultations became difficult. From just 11% in 2019 to 46% of consumers choosing telehealth in 2020, healthcare providers began seeing 50 to 175 times the number of patients than they did in pre-pandemic times. Up to $250 billion of current US healthcare spend attributed to telehealth as healthcare providers continue to scale their offerings.

According to Mckinsey, 74% of survey respondents expressed high satisfaction with their telehealth experience.

With technology at its helm, telehealth is now getting as good as in-person visits, if not better. Artificial Intelligence (AI) has facilitated quick diagnosis and treatments with deeper insights and ensures that routine care is streamlined for better health. Data aggregation also has been helping healthcare providers as well as individuals predict patient behavior and detect patterns.

Besides, seniors tend to require at least twice the number of healthcare services as compared to younger demographics. Telehealth addresses all their concerns effectively to provide continued care in these rather difficult times. As per research by Deloitte and ATA (American Telemedicine Association), a significant portion of care, prevention, and well-being settings are expected to go virtual by 2040.

We are fast moving towards technological advances, interoperable data, and virtual healthcare systems that ensure continuity, connectivity, coordination, and care continuum. As Laura Hoffman, a senior research fellow at Yale Law School’s Solomon Center for Health Law and Policy puts it, “It’s not just technology. How does this transform the patient-provider relationship? What does it mean to have that relationship in terms of doing it virtually instead of it being in person? We are at a very dynamic time.”

Clearly, there’s a lot that still needs to be done on the telehealth front to make it viable for patients as well as providers and tap into its full potential.

Measures to improve telehealth

As we move into the future, we need concerted efforts by healthcare stakeholders along with the adoption of advanced technologies, redesigning of care models, and proper infrastructure to leverage the full potential of telehealth. After all, it goes way beyond the scope of virtual care to include different aspects such as chronic disease management, doctor visits, surgical support, and remote patient monitoring.

Here’s what we can do to make it better and more dependable.

Define a clear roadmap

A data-driven approach is what is currently needed to enable care journeys digitally. Rich clinical data will empower not just clinicians but also patients so that everyone is on the same page. For instance, a patient with a complex medical condition will significantly benefit if all the relevant observations are updated into the clinical record by different providers and made available in readily sharable formats to decide further course of treatment.

You need to augment your reach and expand your capabilities to move the needle in essential areas. You need to ask questions – Would customized online education facilitate awareness and patient satisfaction? Would remote monitoring increase patient engagement? Would increasing capacity help increase e-visits too? What security measures need to be implemented to address privacy concerns?

Both providers and payers need to work on building flexible provider networks to shorten wait times. Virtual health needs to penetrate the ‘brick and mortar’ healthcare system and should be embedded in provider workflows. Hospitals are now using Artificial Intelligence (AI) to guide patients to the right care avenues.

Virtualize home care

This requires access to remote monitoring services so that specific clinical conditions can be monitored. For example, those with diabetes need continuous glucose monitoring, while those with cardiovascular conditions require regular monitoring of blood pressure and heartbeats.

An integrated approach and relevant patient engagement tools are required to include such devices into the care plans and encourage patients to play an active role in ensuring care. Besides, other monitoring systems and diagnostic kits such as home pulse oximeters, blood pressure machines, etc., also need to be factored in while ensuring a clear view for assessment.

Evaluate your IT infrastructure

User experience is paramount when it comes to the success of any telehealth initiative. Cloud-hosted platforms are now being increasingly used to support the virtual telehealth ecosystem. You need to also figure out which providers and healthcare partners need to be added to the delivery platform to ensure better collaboration among care providers.

Seamless data and communication flow among patients, cardiologists, therapists, etc., through video/ audio conferencing, messaging, and other forms of internet-based and mobile communications will then be possible.

You will also have to factor in what equipment you would require for communication as well as treatment. Laptops, speakers, Internet browsers, webcams are just a few of the many things you will need. Additionally, you will have to figure out the means to capture data from connected devices like blood glucose meters and blood pressure monitors too. Potential vulnerabilities in medical devices need to be addressed, along with risks associated with the deployment of third-party services.

Advanced technologies can help you tide over most challenges but having a clear perspective on things you need helps.

Regulatory barriers and their impact

The federal government did make temporary policy changes to make telehealth easily accessible during the pandemic. But we need to look beyond the pandemic, and efforts must be made to continue easing barriers to reimbursement.

Explains Dr. Diane Rittenhouse, a senior fellow at Mathematica, “People were seeing patients in the virtual space before they had the reforms to payment to get paid for it. They were doing it essentially for free. Now, payment reforms have caught up – but it’s unclear how long they’ll remain in place.”
She adds, “We’re asking for a lot of change in primary care over the last couple of decades. It’s good, and it comes from a good place, but these practices are being asked to add more team members, to work under different conditions, to adopt electronic health records, [and] to develop new population-based quality-measuring systems and reporting systems.”

The number of people availing virtual consultations has been significant primarily because they didn’t have to drive down to the facility physically. While The Centers for Medicare & Medicaid Services (CMS) has been highly supportive in facilitating telehealth, these rules should continue to relax to make remote care accessible to one and all irrespective of geographical barriers.

The Department of Health and Human Services(HHS) has even waived off penalties for HIPAA violations against healthcare providers that used conventional communications platforms such as Skype and Zoom to enable virtual care. But these breaches can have severe implications under normal circumstances, and care needs to be taken to ensure patient data remains private and secure at all times.

Broadband has to be accessible and affordable too, without which it would be impossible to leverage the full benefits of telehealth. Imagine you are deep into a call, and the connection goes off just like that, in a second. Also, when physicians are examining patients’ physical symptoms closely, it can be a futile exercise if the video call lacks the required clarity. Not everyone is tech-savvy, and connectivity issues can add to the frustration.

Last but not the least

Telehealth has immense potential and can improve outcomes significantly if efforts are made to expand access to care. Physicians are already reporting burnout as work stress continues. Telehealth programs, when implemented correctly, can bridge the gaps in healthcare now and forever for all. Not to forget the immense cost savings it can lead to.

Transition to telehealth with Trigent

Trigent can help your healthcare facility transform into an agile, robust network of digitally connected distributed entities to open doors to new and exciting opportunities in telehealth. Our domain knowledge and technology expertise help us work closely with stakeholders to meet the many challenges of care delivery in the telehealth sector.

We offer solutions and services to achieve EHR Interoperability and manage virtual consultations effectively. Call us today to book a business consultation.

Successful RPA implementation to increase productivity up to 30% in the Insurance sector

Robotic process automation (RPA) technology is embraced by enterprises globally for varied sectors. The global robotic process automation market is growing in size with a CAGR of 24.9% between 2020 to 2027 and is expected to touch USD 6.10 billion by 2027.

The insurance industry is still exploring ways to leverage its capabilities to their full potential, those who have managed to make inroads are already experiencing extraordinary benefits. Considering that insurance is now an integral part of our lives, the benefits received from RPA adoption are enjoyed by insurers and customers. As a heavily regulated sector, insurance comes with a lot of documentation and standardized processes. Be it minimizing errors in claim processing or speeding up fraud detection processes, there’s a lot RPA can do to empower the insurance sector.

In its 21st CEO Survey, PwC iterates the importance of organizations becoming ‘bionic’ to enable humans and machines to work together to blend emotional and technological capabilities. It further repeats the role of RPA in making them bionic, citing it as the key to this transition.

Each product line in the insurance industry varies in its degree of standardization. Needless to say, the potential for automation differs too. Yet, experts unanimously agree on the incredible benefits of RPA in helping insurance companies save time and money across critical insurance processes.

According to Mckinsey, RPA promises a 30-200% return on investment in the first year.

Current insurers are now combining RPA with Artificial Intelligence (AI) to handle bigger workloads and analyze large volumes of data to convert them into actionable insights for better decision-making and business outcomes.

As you move forward with your RPA strategy, here are a few examples on how it can help increase productivity and reducing costs.

Underwriting & Pricing

According to Accenture, an underwriter typically spends more than 50% of the day on core processing. The market for technologies facilitating underwriting improvements has been growing continuously, and it comes as no surprise that RPA and AI are providing a huge impetus. RPA helps in ensuring accurate data checks to understand the insurance history of customers.

A significant part of underwriting involves determining the right price taking into consideration the risks involved. Insurers depend on RPA, AI, and analytics to get information from connected devices, sensors, and wearables. This data in real-time provides useful insights into customer-specific risks while providing an opportunity for insurers to offer personalized services and customized covers.

The services they offer also include alerts, rewards, and messages that help them transcend their roles from being risk insurers to risk mitigators. RPA can also assess loss runs and provide pricing options based on customers’ claims insurance history.

Global insurer Zurich, used RPA to free up its commercial underwriters to devote their time to more complex policies while boilerplate policies get handled by smart software.

Sales and Marketing

RPA helps insurers address the ‘advice gap’ from online portals that offer price and feature comparisons. Customers can now chat with their virtual insurance manager, convey their needs, and get the right advice and recommendations. RPA also enables insurers to mine non-traditional data that comes from social media, allowing them to upsell and cross-sell based on individual activities. For instance, those planning to travel may want additional coverage if they are going to participate in activities such as paragliding or skiing.

RPA helps agents find the information they need without having to wait for a sales representative to assist them. It also helps companies manage their brand persona online while ensuring compliance with rules and regulations.

Customer Service

A survey by TechSee confirms 39% of participants admitted to having canceled their contracts due to poor customer service. But with the foray of RPA, back-end processes are now linked to front-end service so perfectly that chatbots now identify the customer even before a call is answered.

Customer-facing chatbots can help customers with everything they need right from providing policy status and payment details to sending automated policy renewals and pre-loss warnings. RPA also takes care of reporting and compliance requirements so that records are readily available for quick reviews, reconciliations, and compliance checks.
UK based leading insurance carrier, Swinton implemented RPA technology to provide agents with assistance in handling new processes and to guide them through customer journeys. This shortened calls by over 50 seconds each on average and the contact center capacity was increased to handle an extra 7,781 calls per month.

Claims and Fraud Detection

TechSee points out how customers absolutely expect 3-second claim payouts and will not think twice before taking their business elsewhere if their expectations are not met. This is where RPA comes in. It offers the much-needed speed and accuracy required in a claims journey and self-service options to induce transparency into the process further.

Digital interfaces are convenient and preferred, too, as insurers introduce novel ways to settle claims. Apps are also being used to enable customers to assess damage to their car in case of accidents with their smartphone cameras’ help. The apps offer repair cost estimates based on thousands of images they have been trained on. RPA also helps in fraud detection and identification of suspicious claims with predictive analytics and machine learning.

Policy Management and Regulatory Compliance

While it may be expensive to have a dedicated policy administration software, RPA comes as a simple, safe, and scalable alternative to manage diverse policy activities. These include accounting, settlements, risk capture, credit control, regulatory compliance, etc., that need to be accurate but come with a high risk of errors if done manually.

US insurer Lemonade set a world record in paying a claim within 3 seconds of receiving details. The customers can explain the situation via their phone camera and submit it without paperwork. The Lemonade claim bot then runs algorithms on the details to validate any fraud. Post that payouts are instant.

RPA has proved to be a game-changer for the insurance industry, especially during the pandemic when the entire world has been forced to go digital. As Cliff Justice, a Principal in KPMG’s Innovation and Enterprise Solutions team rightly points out, “At this point in time, it’s not a question of whether you should or should not adopt RPA. You risk remaining relevant if you don’t. The question should be: ‘What’s the best way for your firm to employ RPA and AI.”

Automate Your Business with Trigent

In an ever-evolving world of innovations, we help you tide over diverse business challenges with automation solutions like RPA. Our extensive experience in the insurance sector gives us an edge in helping you transform your business. We will help you attain operational excellence while ensuring a faster ROI, all with the power of RPA.

Allow us to assess your business environment and tell you why RPA is the perfect fit for your business. Call us today.

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.

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Extract 40%+ efficiencies in Healthcare with Robotic Process Automation

The healthcare industry is facing the biggest challenges (and opportunities) in the prevailing situation. Traditional modes of delivery of care have been disrupted, coordinating patient care is driving the demand for sharing data across silos and technology is playing a vital role in enabling remote diagnostics, tracking treatment effectiveness, and monitoring patients while they recover at home. Conventional norms are being challenged. The changes however are accompanied by a different set of considerations that need to be addressed – Data privacy and Cybersecurity for instance. So how can all these be overcome?

Healthcare providers have to manage the massive amounts of patient data, triage the cases, optimize appointment scheduling and treatments and expedite billing & claims management. Apart from being HIPAA compliant, they also have to ensure error-free streamlining and execution of the tasks, which usually prove to be a gargantuan effort. However, these pain points can be overcome by automating the entire process.

Robotic Process Automation (RPA) in the Healthcare Industry

The convergence of robotic process automation (RPA) with the healthcare industry has helped providers accelerate their digital transformation journey. AI-powered RPA has helped the industry deliver efficient services across the value chain – from patient experience to claims management and revenue cycle management to analytics.

CAQH in its eighth annual report stated that automating healthcare administrative transactions has reduced annual costs by $122 billion, $16.3 billion more can be saved through further automation. Gaining traction in the healthcare industry, RPA has enabled automation of routine and repetitive tasks, thereby freeing healthcare professionals to focus more on the much-needed human element — patient care.

How RPA enhances healthcare service

Implementing robotic process automation can channel more resources and optimize healthcare tasks that are of prime importance.

Improved patient support

One of the most important tasks rendered by healthcare organizations is providing ideal care according to each patient’s unique needs. With RPA implementation, healthcare providers have witnessed significant improvement in triage and the resulting patient-facing operations.

Robotic process automation simplifies and streamlines the entire procedure, right from patient data collection to insurance claims. Bots can manage patient appointments as per location, test results, and doctor availability. They can also assist patients with upcoming appointment notifications, medical tests, prescription pick-ups, and discharge guidelines.

Error-free and reduced repetitive work

In RPA, bots replace human involvement in repetitive tasks like patient onboarding, data extraction/migration, appointment/treatment scheduling, and claim management among others. This means work is done in a considerably less amount of time with no errors.

Automating healthcare processes can help the providers reduce critical errors and achieve 100% accuracy rates while providing patient care. Data collected from the patient can be processed as per diagnosis and location, matched with the relevant doctor. In case of the doctor’s unavailability, a bot will automatically reschedule and inform the patient of the change, avoiding confusion and hassle.

Reduced operational costs

By embracing RPA, healthcare organizations can reduce operating costs significantly, while leveraging a cost-effective workforce. Increased automation enhances process efficiency, allowing staff to spend less time on tedious manual tasks.

Traditional methods involved manual data entry, scheduling, record maintenance, and claims management, each of which involved a considerable number of people. Since every task was done manually, there could be errors and rework could come with a cost. RPA implementation standardizes the entire lifecycle, eliminates rework and corrections.

Reduced Data Breaches

Ensuring privacy and security of sensitive patient data is one of the top concerns for healthcare organizations. Using RPA ensures that private information can only be accessed by the appropriate staff. This role-based access minimizes data breach or improper use of data.

RPA allows healthcare providers to control data access and ensure that only the relevant staff can access private information when required. This control is critical since doctors, IT staff, and the claims departments need varying levels of access to classified patient data.

HIPAA and other regulatory compliances

Robotic process automation helps maintain compliance by securing medical data and ensuring all processes are in line with HIPAA and other regulatory bodies. Custom reports and detailed audit logs can also be maintained.

Healthcare providers may use different applications to store and access patient data. Securing such a vast amount of information can be complicated and prove to be challenging. With RPA, HIPAA compliance becomes easier to manage. Audit controls can also be easily implemented using process automation. Detailed audit histories can be set up automatically and any time there’s an internal or external audit, auditors can easily access the data.

Automation is here to stay. RPA is flexible to automate any procedure and is basically to help clear the clutter, thereby streamlining the entire process. With RPA around, even searching for a needle in a haystack will seem effortless.

The Trigent Advantage

With change happening at a rapid pace, the healthcare industry is transitioning to automation to offer better outcomes to patients. Be it migrating from a legacy system, updating a current workflow, or even on advisory, Trigent is your go-to partner for all your technology requirements. Our RPA experts will take care of the entire cycle from adaption to managing, while your healthcare providers do what they do best-providing optimal patient care.

Tech Trends Driving Higher Education in 2021 and Beyond

The campuses that were bustling with life a year ago now have a deserted look. The dormitories, classrooms, and practical rooms all wait for normalcy to return. The pandemic has impacted all walks of life, and the universities are no different. As per the latest New York Times survey comprising 1,900 American colleges and universities, there have been 397000 cases and about 90 deaths due to the coronavirus.

The explosion of the virus and the regulations to curb the spread have expedited the adoption of technology. Universities that were warming up to technology before the pandemic are now swiftly embracing technology to overcome the pandemic’s challenges and chart out their future course of action.

Here are the top trending technologies that have got the education industry’s attention and are sure to have a long-standing impact on the education industry and system.

AI drives operational and administrative efficiency

AI’s impact on the education sector or specifically in higher learning institutes can be manifold. Many universities or institutions are already leveraging AI to deliver time-sensitive academic and admin tasks, increase enrollment, improve IT processes and amplify the learning experience. A Wall Street Journal article noted that the Georgia Institute of Technology addressed 40% of student’s queries using an AI-powered chatbot assistant freeing up humans to tackle complex questions. AI could also spell good news for students with hearing and visual impairments by refining language translations and providing improved access.

While AI’s potential has been a topic of discussion at institutions, its adoption in the education industry is still lagging. A 2019 survey revealed that implementation was the most significant challenge institutions faced in adopting AI. Only 41% of universities have chalked out a strategy on utilizing AI. Another major deterrent is the cost involved, with 57% of institutions having a separate budget for AI projects.

Hybrid learning delivers continuity, convenience, and safety

With the contagious virus on the prowl student, health and safety have become priorities for institutions. The learning environment is poised for a significant overhaul. Hybrid learning or blended learning is the best option available to institutions. The students’ young age on campus is another reason hybrid learning is a perfect fit for the current day and age. Statistics from Bill and Melinda Foundation reveal the 55% of today’s college and university students are Gen Zers. The new generation of students is well averse to using technology. Pew Research highlighted that 95% of Gen Zers have access to smartphones while close to 97% use one of the major learning platforms.

A recently concluded survey by the Institute of International Education has revealed that 9 out of 10 universities in the US plan to implement the hybrid learning model across their campuses. 92% of institutions participating in the survey suggested looking at a wholly revamped instructional plan starting fall 2020.

Immersive, engaging, and impactful learning experiences using AR/VR

Not long ago, the thought of remote learning, especially for higher education, was a distant dream. The biggest challenge to any such suggestion was the impact of in-person classes conducted by the professor in charge, the face-to-face interactions, live demonstrations, and the practical sessions. The emergence of the coronavirus and the social distancing regulation compelled colleges to go digital. Every need has a solution. In this case, the need for real conversations, universities turned to AR/VR that had already made inroads into the classroom. As per Burroughs, 2018 and Internet2, 2019, as of 2018, 18% of universities and colleges had fully deployed VR, 28% had used it to some extent, and 32% were testing the technology. Gartner predicts that by 2021, 60 higher education institutions in the United States will focus on using VR to create simulations and put students into immersive environments.

Through its Virtual Immersive Teaching and Learning (VITaL), San Diego State University’s Instructional Technology Services is using VR capabilities to teach students astronomy. Students in Western Carolina University’s (NC) School of Nursing are using VR to virtually attend to rare emergencies and understand how to attend to such instances. In another compelling use case, Fordham University’s (NY) Gabelli School of Business teaches its students lessons in leadership and teamwork using VR. Students in this particular exercise walk on a 1400 foot skyscraper urged by team members or guided by fellow students to diffuse bombs.

Robust ‘anywhere’ learning systems with cloud technologies

Campuses are sophisticated systems similar to bustling cities. Apart from learning systems, they provide transportation, campus safety, accounting, administration, and everything else required to run a well-oiled system for the residents, in this case, the students. All these facilities provided by the institutions need to run cohesively. Embracing the cloud enables institutions to create a data-centric mindset and rely more on quantifiable data measurement to drive and assess enrollment functions. Institutions are adopting cloud products to leap towards process re-engineering to aim for system-wide digital transformation. The approach will reduce information silos and enable standardization of data driving information sharing, boosting efficiency and sustainable growth.

The pandemic has put an enormous financial burden on institutions. Budget cuts for public institutions and diminishing private funds and endowments have further crippled institutions’ financial capability to harness cloud capabilities helping colleges and universities balance their expenses while benefiting from the high-standard IT services.

The Julliard School for performing arts having its physical presence in New York, will be training 800 students from 42 different countries. The faculty will be training all these students from its campus in Manhattan. The cloud powers Julliard’s digital foray.

Conclusion

Like every other industry, the higher education domain needs a revamp. Campuses across the United States are increasing digital transformation speed to face any unforeseen eventuality. Trigent is at the forefront of enabling institutions and universities to quickly and efficiently utilize technology advances. Our domain expertise empowers institutions to promptly ramp-up capabilities backed by our technology experts.

Let us together build a digitally strong foundation for an empowered future. Call us today.

6 Tech Trends that will reshape Media & Entertainment in 2021

Content streaming is at an all-time high amidst the lockdown. By 2024, Over-the-top (OTT) media revenue is predicted to touch $158.84B that’s more than double the $67.8B revenue that was generated in 2018. The number of OTT service users in the United States is expected to reach 198 million by 2021. Netflix, Google LLC, LINE Corporation, Facebook, Amazon Web Services, Apple Inc. Kakapo Corp, Hulu, LLC are among the top players.

Let’s take a look at the demand and supply impact given the evolving industry landscape. The demand side takes into account the behavioral patterns of the audience while the supply side adopts tech innovations to differentiate their service and content portfolio

Here’s our take on 6 technology trends that will influence the media and entertainment world this year.

  1. Ad-supported access to standard content portfolio

In a bid to keep subscription fees competitive, platforms and publishers will bring back ad-supported content. Ad-supported models will work well provided platforms collate sufficient data for targeted advertising. M&E companies are now putting in a lot of effort to sieve through every tiny bit of information to keep annoying ads at bay. Going forward, the focus will be more on making an interesting mix of videos, music, games, podcasts, etc. available through subscription and free ad-supported services.

Explains Nick Morley, EMEA Managing Director, IAS, “With major changes to consumer habits last year, viewer patterns have rapidly evolved. The UK Streaming Wars report shows that viewers are now increasingly open to ad-supported video options, so the onus is on the digital advertising industry to help marketers meet consumer needs with an enjoyable experience.” As per the UK Streaming Wars report, over 50% of consumers will watch relevant ads in full while one in five will even search once they see an ad.

  1. eSports broadcasting for interactive experiences

The global eSports market revenue is expected to touch $1.6B in 2023 with eSports being touted as the future of sports. Currently, Asia and North America are the largest eSports markets and with greater adoption of AR/VR, this segment too will see fresh developments. Legalized sports betting will also see a surge with 5G technology, and several sports stadiums and similar arenas in the U.S. already have 5G towers to facilitate legalized betting.

With broadcasters streaming feeds from strategically placed cameras at vantage points, viewers can pick the best views for a more engaging experience. Apart from the best viewing angles, eSports also offers them an opportunity to cheer and interact with their favorite sports persons in real-time, and a platform to discuss strategies and improve the learning curve.

Gaming companies are doing exceedingly well too and Activision Blizzard made a profit of $505M in the first quarter of 2020 with their games like Call of Duty and World of Warcraft delivering better than expected results.

  1. Augmented and Virtual Reality will create new avenues

Augmented and Virtual Reality or AR/VR are unlocking new technology avenues for the media and entertainment world. Earlier, they were not leveraged to their full potential despite the hype. Adoption was less and the price of AR/VR devices was pretty high. But things are changing now with greater adoption, pocket-friendly devices, and AR content that’s supported by smartphones.

This presents an opportunity to the media industry that will also leverage it to deliver a quality experience to gamers, make way into cinemas and theaters with immersive content, and create wearables for visits to museums, art galleries, etc.

  1. Artificial Intelligence for enhanced customer engagement

Most viewers, including millennials and Gen-Z, are happy to pay for content that’s tailored to their tastes. Artificial Intelligence and Machine Learning algorithms go a long way in analyzing consumer behavior providing them with just what they want to see. Innovations like eye tracking, emotion detection and engagement analysers provide new sources of continuous feedback.

The power of AI is essential to absorb and process this data in no time to help platforms make highly personalized recommendations. The same principle works for music streaming apps too that know exactly which tracks to pitch so that they make it to your list of favorites. AI can be a boon in the pre and post-production processes too and the absence of human intervention ensures that the cost of content creation is greatly reduced.

  1. Blockchain to protect IP rights while leveraging viral distribution channels

Blockchain will disrupt the way content is created, aggregated, distributed, consumed, and protected. Blockchain-powered micropayments will facilitate pay-per-use consumption targeting consumers who are unwilling to pay for an entire subscription but will pay a smaller fee to binge-watch just a season of a particular show. It allows independent artists to directly distribute their work among consumers via social media channels bypassing middlemen and distribution modes.

Blockchain will ensure proper execution of copyright terms through accurate tracking of a song’s usage and facilitate quicker royalty payments and division of revenue among artists and stakeholders. It will control and monetize file sharing, as every time consumers purchase or subscribe to blockchain-hosted content, content owners will be able to track file sharing and charge a fee for that distribution.Italy’s copyright body SIAE has also developed a copyright management platform using blockchain to provide artists and musicians complete transparency about their works and keep track of the royalties they are entitled for.

  1. Print media will embrace a digital future

COVID is driving the publishing industry to adopt a digital-first or digital-only model. Magazine publishing has suffered and popular magazines such as the Cosmopolitan SA closed their chapters recently. The New Normal also urged others to take a fresh perspective on creativity. Vogue Italia for instance donned a plain white cover sans celebs and models for their April 2020 issue.

There will be a symbiotic integration between print and online with more emphasis on customized content. As Ryan T. Sauers, President, Sauers Consulting explains, “Customers will receive more relevant information, and companies won’t waste money trying to cast larger nets. The traditional, mainstream blast-out-a-million-copies of something—I see that just dying a slow death.”

As per PwC, eBooks will see a greater demand and grow at a CAGR of 11.7% while the physical book publisher’s industry will decline at a CAGR of -2.8%.

Summing up

The New Normal brings along both opportunities and challenges. Due care however must be taken to safeguard the privacy of customers at all times. With rising subscriptions, comes the responsibility of ensuring data privacy too. While 64% of consumers are willing to share personal information and 83% are somewhat comfortable with using or storing biometric data with apps and services, 79% are pretty concerned about their data privacy as per a survey by Entrust.

It is crucial that M&E companies protect their data with strong encryption, high-assurance, and cloud-based authentication while also ensuring that consumers are educated about best practices surrounding data security. Transparent data collection applications and initiatives such as a promise to forget the data once services or subscriptions are discontinued can go a long way in gaining consumer trust.

Tune in with Trigent

The media and entertainment industry is in for some unprecedented changes. We can partner with you on this transformative journey thanks to our long and successful association with the world of M&E. Book a consultation and we will tell you how our technology solutions can serve as the perfect bedrock to help you thrive in 2021 and beyond. Call us today.

3 ways to beat the competition and stay ahead in the Media and Entertainment industry

The media and entertainment sector saw quite a few changes with respect to content development, aggregation, and delivery as major players in the business adopted new strategies and agile approaches to leverage the changing consumer demands. Everything evolved in the M&E industry; mainstream movies battled with the growing popularity of digital OTT content while music records and CDs were replaced by music streaming apps and Apple iTunes. Then there was the pandemic which despite posing several challenges also offered an impetus to the M&E industry.

As Deloitte’s global TMT industry leader Ariane Bucaille explains, “There have been five years of change in five months due to the pandemic. Covid-19 has been a catalyst – an unwelcome one, but still a catalyst – for needed changes across the TMT landscape.”

The fast-evolving OTT landscape

The global OTT market size that stood at $171B in 2020 is predicted to grow at a CAGR of 29.4% to touch $1,039B by 2027. Ad-supported VoD platforms are doing increasingly well amidst the pandemic with ad revenue of the five major ad-supported streaming platforms namely Hulu, Peacock, Roku, Pluto TV, and Tubi touching 31% year-over-year in the second quarter of 2020.

47% of households have increased their use of content streaming services, 60% of respondents have signed up for free trials of subscription video on demand (SVOD) services due to the pandemic and a good 15% are ready to become paying members once the free trial concludes. From 35% in Q1 2019, the churn rate among OTT services in the United States has gone up to 41% in Q1 2020. The United States, which is also one of the largest OTT markets in the world, tops the national average at 8.55 hours of viewing time spent on OTT video content as compared to the global average of 6.8 hours per week.

As the market continues to see growth in the number of M&E studios and OTT service providers, it is becoming increasingly difficult to win this race. It is certainly challenging to create your own niche in this overly crowded market, though there’s a lot you can do to stay ahead and rise above the noise.

We believe M&E companies can get a competitive advantage if they meet the new demands of consumers by concentrating their efforts on 3 fronts – Experience, Technology, and Marketing.

Here are our top recommendations for you to consider to underpin the M&E domain like a pro:

  1. Tailor-made viewing experience to retain customers

Consumers are in demand as they continue to grab free trials, seek original content, and balance costs between paid, premium, and ad-supported services. They are quick to choose, sign up and cancel as well, as research indicates that 62% signed up to watch a particular show and cut the service once they were done while 43% canceled the same day once they realized they did not want it anymore.

This gives little or no time for providers to level up and respond. Besides, viewers are jumping from one platform to another as more immersive platforms see the light of the day. From live to connected TV, desktops to mobile, and new immersive platforms driven by Augmented and Virtual Reality (AR/VR) – the transition is for all to see. Advertising models are being revised too in order to factor in this paradigm shift making way for native, vertical, 360-degree, and programmatic ads. Ad-supported video streaming services (AVOD) are also being well-received.

M&E companies must study and monitor consumer behavior closely to understand whether certain behaviors are temporary or are pointing towards a permanent shift in preference. For instance, ‘watch party’ became quite a trend wherein groups of people watched movies and other video content together using popular social media platforms, but whether the trend will continue even after the pandemic is something that needs to be seen.

  1. Technologies to spur growth

The media and entertainment ecosystem can benefit a great deal if companies rest their strategies on technology foundations to navigate their infrastructures to next-generation architectures. The ones that play pivotal roles include:

Artificial Intelligence (AI) – AI is the key to personalization as consumers continue to look for personalized content recommendations from service providers. Recommendations apply to both contents as well as ads that users may be inclined to watch. AI in tandem with machine learning will also offer insights into the payment preferences of consumers. In fact, 66% of respondents had in fact opined in favor of having an AI-powered digital assistant too.

Augmented /Virtual Reality (AR/VR) – We’re now seeing increasing adoption of digital technologies like AR/VR as the wave of innovation sweeps over M&E. With continuous advances in AR/VR, both will play an important role in offering rich, deeply engaging, multisensory experience. While cloud, edge computing, and 5G will move VR forward, AI technology will continue to push AR into the realm of mainstream. AR market value is predicted to go up to USD 200 billion by 2025 from just USD 5.9 billion in 2018.

Digital transformation – As technology continues to prove its worth, M&E companies are now making more investments in the development of intelligent enterprises. Higher efficiencies and lower operational costs while staying aligned to business objectives have become their forever goals. The focus is now on digital transformation. As Jennifer Cooper, Global Head of Media and Communications Industry Strategy & Solutions, Microsoft points out, “The disruption created by COVID-19 has agitated the industry into accelerating innovation and digital transformation in areas that were previously only in planning stages of cloud migration. The stage is set for an industry-wide metamorphosis.”

Stringent data privacy measures – As instances of a data breach and misuse of consumer data continue to plague the minds of viewers, M&E companies should invest in disruptive technologies such as AI and Blockchain to protect their identity and also detect and block deepfakes. When leveraged correctly, blockchain offers transparency, immutability, and decentralization to help distinguish between a real and a fake video and verify the legitimacy of content.

  1. Marketing mantras to strike a chord with customers

The way you promote your content can make a world of difference to your M&E business. Here’s what you can do:

Grab their attention – There’s a lot to see when it comes to digital content but consumers will almost always remember how they feel when they engage with the content. For instance, ‘live’ content never disappoints viewers because it gives them the feeling of witnessing everything first hand. Netflix’s Unsolved Mysteries for instance asks viewers to share their opinions & findings on episodes aired making the whole experience more engaging and personal.

Go multi-platform – Often overlooked, yet very important for your entertainment app success is to ensure that you meet your customers on different platforms. For instance, non-subscribers will not have access to trailers of upcoming shows and seasons unless you promote them through targeted advertisements and postings on different social media platforms.

Advocate ethical practices – It is important that topical issues are handled with sensitivity. It is becoming increasingly common to participate in societal revolutions one believes in. Make sure that you have content fact-checking policies in place to ensure that you adhere to ethics and transparency and imbibe them well in your brand culture.
Leverage the power of personalization – You can maintain a good rapport with your followers by engaging with them through social media advertisements, push notification strategies, and emailers announcing a new season launch, etc. Without being intrusive, you can connect with them and stay on top of their mind through these simple but effective gestures.

Sharpen your competitive edge with Trigent

It’s easy to reimagine your M&E business growth with a specialist by your side. We can help you chart your digital journey successfully with robust apps designed to succeed while delivering value and experience to consumers consistently. Together, we can study consumer behavior to come up with a more nuanced approach to empower you to lead in this overly crowded market. Our agile technologies at the helm of strategies are just what you need to stay ahead.

Book a consultation today. We’re just a click away.

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.

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.

Artificial Intelligence (AI) and Its Impact on Software Testing

Enterprises impacted by ‘Digital Disruption‘ are forced to innovate on the go, while delighting customers and increasing operational efficiency. As a result, software development teams who are used to time-consuming development cycles do not have the luxury of time any longer. Delivery times are decreasing, but technical complexity is increasing with emphasis on user experience!

Continuous Testing has been able to somewhat cope with the rigorous software development cycles, but keeping in mind the rapid speed with which innovation is transforming the digital world, it might just fall short. What is therefore needed is the ability to deliver world-class user experiences, while maintaining delivery momentum and not compromising on technical complexity. To meet the challenges of accelerated delivery and technical complexity requires test engineers to test smarter instead of harder.

So what has all this got to do with Artificial Intelligence (AI)?

The fact is, AI and software testing were never discussed together. However, AI can play an important role in testing and it has already begun transforming testing as a function and helping development teams to identify bug-fixes early, assess, and correct code faster than ever before. Using Test Analytics, AI-powered systems could generate Predictive Analytics – to identify specific areas of the software most likely to break.

Before delving into AI-based software testing, it might be good to understand what AI actually means. Forrester defines AI as “A system, built through coding, business rules, and increasingly self-learning capabilities, that is able to supplement human cognition and activities and interacts with humans natural, but also understands the environment, solves human problems, and performs human tasks.”

Related: Improved time to market and maximized business impact with minimal schedule variance and business risk

AI is providing the canvas for software testing but its uses have to be defined by testers. Some engineers have already tested their imagination and they use AI to simplify test management by creating test cases automatically. They know that AI could help to reduce the level of effort (LOE) while ensuring adherence to built-in standards.

AI could also help to generate code-less test automation, which would create and run tests automatically on a web or mobile application. AI-based testing could identify the ‘missing requirement’ from the Requirements document, based on bug-requirement maps.

Machine learning bots are capable of helping with testing especially with end-user experience taking the front seat in testing. When trying to understand the role of bots in software testing, we need to bear in mind the fact that most applications have some similarities, i.e. size of a screen, shopping carts, search boxes, and so forth. Bots can be trained to be specialists in a particular area of an app. AI bots can manage tens of thousands of test cases when compared to regression testing which can handle much lesser numbers. It is this ability of AI testing that elevates its importance in the DevOps age where iteration happens on-the-go.

To summarize, while bots do some of the routine stuff, testers can focus on more complex tasks, taking the monotony out of testing and replacing it with the word ‘exciting’.

Learn more about Trigent’s automation testing services.

Read Other Blog on Artificial Intelligence: 

The Impact of Artificial Intelligence on the Healthcare Industry