Author: AnilVijayan

Analyzing the EU AI Act Impact for Global Businesses | Webinar

ON-DEMAND WEBINAR

Analyzing the EU AI Act Impact for Global Businesses

Regulation in the AI space is about to change significantly with the introduction of the EU AI Act. How will this new legislation affect enterprises in the EU and beyond?

This webinar, hosted by Everest Group Partners Anil Vijayan and Nitish Mittal alongside Mark Lewis, Senior Consultant at Stephenson Harwood LLP, delved into this first-of-its-kind regulation and its implications for enterprises, tech providers, and tech service providers. They discussed how to prepare for the legislation’s effects, including its extraterritorial impact, as the introduction of this comprehensive AI-focused legislation affected other global locations.

Watch this event and gain insights into the potential repercussions of this legislation, with advice for best practices and key considerations to make when implementing AI tools in light of this new Act.

What questions did the webinar answer for the participants?

  • What is the state of the global regulatory environment with regards to AI?
  • What is the anticipated impact of the EU AI act for various stakeholders?
  • How can enterprises prepare for the Act coming into effect?

Who should attend?

  • CIOs
  • CEOs
  • CTOs
  • CSOs
  • COOs
  • ITS/BPS strategy heads 
  • CXOs
  • BU heads
Senior Consultant
Stephenson Harwood LLP
Partner
Everest Group
Partner
Everest Group

Intelligent Process Automation (IPA) Solutions PEAK Matrix® Assessment 2024

Intelligent Process Automation (IPA) Solutions

Companies aiming to maintain competitiveness and strength recognize the importance of transitioning to a digital-first business model. Manual processes present numerous challenges, prompting enterprises to seek superior alternatives in digital, automated, and intelligent business practices. With the rise of digital technologies, especially Intelligent Automation (IA), organizations can achieve heightened levels of efficiency and productivity. Generative AI has accelerated automation evolution, leading to the development of newer and improved solutions that are more customized, flexible, and efficient. Solution providers are swiftly embracing a digital-centric approach known as Intelligent Process Automation (IPA) to address this growing demand. IPA has become a vital tool for businesses to navigate the complexities of the modern market with increased agility and clarity.

Intelligent Process Automation (IPA) Solutions

What is in this PEAK Matrix® Report

In this report, we examine 27 IPA solution providers and position them on Everest Group’s PEAK Matrix® as Leaders, Major Contenders, Aspirants, and Star Performers based on their capabilities, offerings, and limitations. This research will help buyers select the right-fit providers for their needs and enable providers to benchmark themselves against each other.


Contents: 

In this report, we examine:

  • Everest Group’s PEAK Matrix® evaluation of IPA solution providers, categorizing them as Leaders, Major Contenders, Aspirants, and Star Performers
  • The IPA solution provider market’s competitive landscape
  • Providers’ key strengths and limitations

Scope:

  • All industries and geographies
  • IPA solutions: sourcing IPA technology products, along with consulting, implementation, and maintenance services, but no traditional BPO services
  • IPA services: sourcing IPA services such as consulting, implementation, and maintenance
  • This report does not cover IPA technology products that are licensed independently or embedded within broader BPO deals

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What is the PEAK Matrix®?

The PEAK Matrix® provides an objective, data-driven assessment of service and technology providers based on their overall capability and market impact across different global services markets, classifying them into three categories: Leaders, Major Contenders, and Aspirants.

LEARN MORE ABOUT Top Service Providers

Distinguishing Gen AI Hype from Real Applications | LinkedIn Live

LINKEDIN LIVE

Distinguishing Gen AI Hype from Real Applications

View the event on LinkedIn, which was delivered live on Wednesday, January 17, 2024.

Watch this insightful discussion on navigating the landscape of Artificial Intelligence (AI). 🚀 Everest Group experts will unravel real-world use cases that go beyond the hype, shedding light on how generative AI is making a tangible impact across industries.

Tune in for a candid exploration of the practical applications shaping the future of intelligent technologies.

What questions does the event answer for the participants?

  • What is the current gen AI landscape?
  • What are recent real-world gen AI use cases that industries are investing in?
  • What does the future of gen AI look like?

Meet The Presenters

Exploring Emerging Generative AI Trends in Technology | Blog

Generative Artificial Intelligence’s rapid evolution holds the promise to transform enterprise operations and decision-making across many industries. Several emerging key generative AI (GAI) trends can profoundly impact automation, productivity, and human expertise, but harnessing GAI’s many opportunities will come with risks that will require enterprises to make complex choices and strategically adapt. Read this blog for valuable insights to prepare for this new frontier. 

Developing Generative AI Trends and Innovations

The trends to watch in the near and mid-term:

  • The move from general to specialized models – As generative AI moves into specific industries and domains, more examples of models fine-tuned for specific purposes are expected to emerge. For instance, models could be specifically trained for banking, insurance, or Human Resources domains, with the capability to speak the language of these narrower fields
  • Applications built on top of foundational GAI models – Apps built on top of large language models (LLMs) or conditioned LLMs to solve for specific needs will likely proliferate. Beyond ChatGPT, we already see early-stage web navigation concierges, code development assistants, and more. Initially, business-to-consumer (B2C) contexts will rise, but once the risks around GAI are solved, business-to-business (B2B) or business-to-employee (B2E) applications also will surge in activity
  • Lower costs – GAI is still relatively expensive but prices already have dropped significantly. As infrastructure, hosting, training, and inference become more efficient and economies of scale improve, we expect further cost reductions

What the generative AI trends mean for enterprises

  • Automation, productivity, and skills – Automation of tasks by GAI will boost employee productivity and also change the nature of expertise. This shift will require enterprises to rethink their talent agenda, workforce planning, learning and development (L&D) programs, and so on. Consider the example of an entry-level developer. With the benefits of GAI, the traditional “skill” of knowing a particular syntax for a specific language will become much less important. As a result, the bar of “valuable” human expertise will be raised. Enterprises need to account for these changes by rebuilding skill taxonomies and subsequently reassessing talent planning
  • Focus on enterprise data strategy – The true power of GAI comes into play once enterprises go beyond the low-hanging fruit of using it to generate generic outputs, like text, images, or other media. For instance, we could envision a world where GAI creates appropriate business or IT workflows, creates complex documents from scratch, or generates marketing collateral tailored to a company. Getting to these use cases will require seamless access to enterprise data, regardless of the approach (whether specialized models built from scratch, fine-tuning, or in-context learning). While GAI will unlock the power of this data, enterprises will need to surface it for use. The enterprise data journey is not new, but GAI will require a renewed focus and potentially more investments to advance it
  • Competition, disruption, and lowered barriers to entry – As GAI enables significant automation, organizations can do more with less. With lower costs, fundamentally new business models will become more feasible in multiple domains. Similar to how digital banks, built from the ground up, started nipping at the heels of established brick-and-mortar ones, this technology can potentially give birth to new contenders. One possible scenario to imagine is a new video game company creating complex video games relying heavily on GAI with a dash of human ingenuity. Similarly, GAI has the potential to disrupt stock media, customer service, entertainment, and other industries.

Enterprises may face difficult future choices, including making massive pivots, cannibalizing existing revenue streams, etc. While these decisions will naturally be difficult, enterprises must be willing to make hard calls to rapidly evolve and stave off existential threats further down the line.

However, there is no need to press the panic button yet. By investing in leadership education, keeping on top of developments, being open to innovations, and investing in home-grown and external GAI solutions, enterprises can position themselves well for when the time comes to make those hard choices

But before putting the horse before the cart, the many primary risks around GAI need to be addressed for broad-based enterprise adoption. These include regulatory concerns (including intellectual property), data and privacy, explainability (to some extent, at least), and others. Based on early trends, at least partial workarounds or mitigation mechanisms will be developed, in the short-term.

Everest Group provides insights and guidance on the risks, use cases, pricing, and implementation strategies to best position enterprises across industries for GAI adoption success. To learn more about Everest Group’s generative AI research or to discuss generative AI trends, reach out to Anil Vijayan.

Don’t miss our webinar, Key Issues 2024: Creating Accelerated Value in a Dynamic World, to hear our analysts discuss major concerns, expectations, and trends for 2024.

Intelligent Document Processing (IDP) and Unstructured Document Processing Products PEAK Matrix® Assessment 2023

Intelligent Document Processing (IDP) and Unstructured Document Processing Products PEAK Matrix® Assessment

Intelligent Document Processing (IDP) products play a vital role in enterprises’ automation technologies portfolios. IDP leverages Artificial Intelligence (AI) technologies such as Optical Character Recognition (OCR), computer vision, Natural Language Processing (NLP), and machine/deep learning to classify and extract information from structured, semi-structured, and unstructured documents.

The demand for unstructured document processing solutions has been rising due to the increasing sophistication of IDP products in terms of their capabilities, features, and functionalities. To achieve success in implementing IDP, enterprises must partner with the appropriate IDP technology provider.

IDP PEAK

UDP PEAK

What is in this PEAK Matrix® Report

In this report, we assess 36 technology providers and position them on Everest Group’s IDP PEAK Matrix® as Leaders, Major Contenders, Aspirants, and Star Performers based on their capabilities and offerings. Additionally, the report assesses 32 IDP providers and positions them on Everest Group’s Unstructured Document Processing PEAK Matrix®. The research will help buyers select the right-fit technology providers for their needs, while technology providers will be able to benchmark themselves against each other.

In this PEAK Matrix® report, we:

  • Position IDP and unstructured document processing technology providers on Everest Group’s PEAK Matrix, categorizing them as Leaders, Major Contenders, and Aspirants
  • Analyze the technology provider market’s competitive landscape
  • Highlight key IDP and unstructured document processing technology trends
  • Discuss providers’ key strengths and limitations

Scope:

  • All industries and geographies
  • The report focuses on IDP solutions sold on license, regardless of any ongoing business or IT process outsourcing or managed services
  • The report includes IDP providers that offer unstructured document processing solutions

DOWNLOAD THE INTELLIGENT DOCUMENT PROCESSING (IDP) AND UNSTRUCTURED DOCUMENT PROCESSING PRODUCTS PEAK MATRIX® ASSESSMENT 2023

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What is the PEAK Matrix®?

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Generative AI and ChatGPT: Separating Fact from Fiction | LinkedIn Live

LINKEDIN LIVE

Generative AI and ChatGPT: Separating Fact from Fiction

View the event on LinkedIn, which was delivered live on Thursday, April 13, 2023.

If you haven’t experimented with ChatGPT yet, you have at least been following the recent buzz⚡.

💻ChatGPT is one recent example of Generative AI that companies are jumping into. However, while the technology itself has immense potential, much of the recent adoption 👥 has been driven by hype .

What exactly is Generative AI? It is an evolved form of Artificial Intelligence (AI) technology that generates new content in the form of text, images, videos, audio, codes, and more – consensus is that it will influence enterprises and providers significantly.

📢 In this LinkedIn Live, we will provide buyers and providers insights into the latest developments and opportunities, as well as the challenges and possible misconceptions in this dynamic market. The speakers will also discuss how organizations can benefit from Generative AI and what factors to consider while using and investing in it.

What questions does the event address?

✅ What are the strengths and limitations of Generative AI (and ChatGPT) in its current form?
✅ What are some high-value applications and use cases?
✅ What do enterprises and service providers need to keep in mind while adopting Generative AI?
✅ What are the major challenges and best practices to assist adoption?

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Andrew Burgess Headshot square
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Digital Transformations: 5 Emerging Trends in the Intelligent Process Automation Market

The pandemic’s effects on the digital landscape are long-lasting. Businesses are evolving to rely on the intelligent process automation market (IPA) to promote growth and keep up with competitors. Read on to learn more about five growing IPA trends.

In a world becoming increasingly reliant on technology, financial services organizations are digitizing and automating more processes to keep up with the competition. The intelligent process automation market, growing by about 20% across all fields, is now becoming ubiquitous.

IPA is defined as automation in business processes that use a combination of next-generation automation technologies — such as robotic process automation (RPA) and cognitive or artificial intelligence (AI)-based automation, including intelligent document processing and conversational AI. Solution providers are offering solutions across RPA, Intelligent Document Processing (IDP), and workflow/orchestration, as well as crafting innovative solutions such as digital Centers of Excellence (CoE) and investing more in as-a-Service offerings.

In our recent Intelligent Process Automation (IPA) – Solution Provider Landscape with PEAK Matrix® Assessment 2022 report, our analysts ranked IPA technology vendors and looked at the market for IPA solutions. Based on the research, the growth of IPA technology and reliance will expand to around 25% over the next three years.

Five intelligent process automation market trends enterprises should know

The question of how to become faster, more efficient, and more resilient is the focus for just about any organization undergoing digital transformation. Very often, the answer to this question is at least, in part, intelligent process automation. In the near future, we can see five emerging IPA trends:

  1. IPA will get smarter

A greater proportion of cognitive elements is finding its way into the intelligent process automation market. About 60% of new automation projects involve more advanced cognitive tools such as IDP, conversational AI and anomaly detection. As the maturity of AI-based solutions increases, cognitive automation will be in greater demand. All-round adoption of IPA will be fueled by providers entering new geographies and organizations starting IA initiatives.

  1. IPA will be more scalable

Although many organizations are trying to adopt intelligent process automation, the real question is if it can be scaled up or, in other words, if it can be brought across the organization. To help enterprises scale automation, solution providers are investing in expanding their partner ecosystem, strengthening technology capabilities, and enhancing their services portfolio.

Providers are also expected to help enterprises scale up through more effective change management and CoE set-up strategies. Aided by the prevalence of process intelligence solutions to form robust pipelines and orchestration tools to facilitate holistic automation, enterprises are better equipped now to move away from siloed applications of IA to scaled-up automation implementations.

  1. Citizen development will grow

Many organizations are experimenting with what they can do with citizen development, especially with the current talent shortage. Citizen-led development also holds the power to disrupt the current state of building automation and addresses the issue of talent availability. Solution providers are expected to invest in citizen development and low-code/no-code technologies enabling business users to build automation, consequently also addressing the talent shortage in the market.

Solution and technology providers are also expected to invest substantially in developing the low-code/no-code capabilities of their platforms to enable business users with limited technical exposure to build automation solutions on their own. A few solution providers are implementing citizen development programs in their own organizations and are planning to leverage the learnings to develop effective governance programs for enterprises.

  1. IPA service providers will bring IPA solutions packages to the market

Packaged solutions are gaining traction in the IPA market due to their ease of implementation and quick Return on Investment (RoI). Solutions for F&A are the most prevalent in the market. These solutions will need training on particular data sets to make them functional for a particular process, but they will speed up implementation. Providers are expected to take conscious steps toward promoting sustainable AI by developing solutions complying with environmental, social, and governance (ESG) parameters. They are also investing in AI solutions that are transparent about their working and usage of data.

  1. IPA service providers will pre-build connectors to legacy and other systems

There are a host of technologies, including RPA, conversational AI, process mining, and process orchestration in the IA ecosystem. Very often these IA solutions need to talk to the various other systems. Many IPA service providers are driving innovation and crafting new solutions to keep pace with the fast-moving IPA market and create a more holistic integration process. One such method is offering enabling capabilities like pre-built connectors for a faster and less complex implementation.

If you would like to learn more or discuss the intelligent process automation market and IPA trends, reach out to [email protected].

Learn how the healthcare industry is utilizing intelligent automation, digitalization, and telehealth as fundamental driving forces to transform and evolve in the webinar, How Intelligent Document Processing Is Transforming the Healthcare Industry.

Deconstructing the Future of Work Trends

Four-day weeks, on-demand pay, “rural” talent, and digital workers in recent times, we’ve heard these ideas accompanied by seemingly teleological questions about work as a construct. With the work landscape rapidly evolving, questions arise about what the future of work will look like. Read on to learn more about how technology, location, and talent can be utilized to reconstruct our understanding of work, as well as gain positive lasting effects for companies.

With the rise of digital labor pyramid issues, the after-effects of a global pandemic, and the desire for more meaning in work and convenience through remote work, the work landscape is being met with a promising possibility of re-examining and perhaps reconstructing work for the new era. But, beyond the clarion call, what exactly does it entail? How do we understand the future of work trends and how do we design for them? Fundamentally, we can break it down into three distinct components: the how, the where, and the who. Let’s take a look at the trends shaping the future of work.

Nature of work – how will work be done?

As we look at the adoption of cloud and AI technologies in the workplace, it becomes clear that the nature of work will change considerably. Robotic process automation (RPA) and Artificial Intelligence (AI)-based automation can significantly reduce the number of transactional tasks delivered manually, in addition to a few judgement-oriented tasks. The universe of tasks that can be automated or simplified will expand as these technologies mature and systems of record become more scalable, data pipelines are streamlined, and meaningful data itself becomes more accessible. This further enhances our ability to use data to derive insights and make informed decisions.

Everest Group’s future of work research shows adoption of these technologies has accelerated during the pandemic. More than 70% of organizations have invested in digital in the past 12 months, and about 50% expect to invest more in the next six to 12 months. Naturally, all of this has implications for the kind of work that then falls to the human workforce. With transactional tasks largely automated, judgement-, expertise-, and empathy-oriented tasks and related skill sets (including “soft skills”) become more important. But this is not a doom and gloom job-loss scenario; digital hardly ever is. Digital will also create jobs for talent who can acquire skills related to automation, AI, analytics, and the cloud.

In essence, the nature of work is changing. Enterprises will need to prepare for these eventualities by ensuring they have adequate skilling programs in place, starting by building skill taxonomies for the future, assessing current skill sets, and building out continuous learning, upskilling, and reskilling programs to enable a future-ready workforce.

Work location – where will work be done?

Our research indicates that over half of today’s enterprises expect more than 40% of their employees to continue to work from home over the next two years or so. The pandemic has dispelled certain notions about remote work while highlighting its challenges. No longer do we question if remote work is efficient or even a possibility; video calling and conferencing tools, collaboration technologies, and the potential of the metaverse have meaningfully reduced the friction that deterred work from home. Employees have benefitted from shorter commute times, greater flexibility, and proximity to family.

On the other hand, 55% of enterprises see employee engagement as a key challenge in a remote-only environment, and 50% see organizational culture as difficult to maintain with full-time work from home. The middle ground (hybrid work) seems destined to be lasting among the future of work trends. Enterprises need to redesign physical and virtual workspaces, embedding information security as needed and changing management styles to accommodate the hybrid working model.

As remote working has gained more acceptance and mature economies have aged, the time has also come to de-link talent from geographic locations. Beyond the US and India, emerging technologies such as AI and automation have sizeable talent pools in multiple countries across the world. The enterprise of the future should seek to leverage this talent, applying similar guiding principles as those for hybrid work with an additional focus on local compliance, managing cross-cultural teams, and customizing policies.

Talent model – who will do the work?

As work and workplaces evolve, so will the talent we need. We already spoke to the need for a geographically distributed and suitably skilled talent. The future workforce will also be diverse, equitable, and inclusive. Diversity will, in some ways, be necessitated by the need for a variety of in-demand skills sets and changing labor pyramids, but beyond that, it is a fairly well-established fact that diverse workforces simply do better and bring a variety of perspectives to the table, enabling enterprises to serve their clients better too. From this perspective, in the digital age, organizations will need to bolster their diversity, equity, and inclusion programs, define concrete goals and metrics, and mobilize internal and external resources to help meet these goals. DE&I will be among the trends shaping the future of work to watch for.

As we look to fulfill specific skillsets for future work, organizations will also do well to consider contingent or temporary workers in addition to traditional permanent ones. Contingent workers are in greater supply now and will offer a good pool of talent to tap into, particularly for in-demand and next-generation skills. This will require careful consideration on the part of enterprises, as not all roles will be suitable for fulfillment. Even among the contingent workers, some skillsets will be in higher demand.

Attracting talent also will pose a challenge for enterprises. Today, a large portion of contingent programs are run through procurement. A holistic program run by HR (including contingent and permanent workers) that can communicate the employer value proposition well, help with engagement, and leverage data to improve program management might just be needed as we transition to this new construct.

The future of work is neither esoteric nor mundane – it is somewhere in between, and it is here already. It will require us to question well-established paradigms, rethink the framing of work in our lives, and push us to redesign and reconstruct. Enterprises that move the needle now stand to gain a lasting competitive advantage.

To learn more about the future of work trends, contact us or reach out to Everest Group Partner, [email protected].

At Everest Group, we help clients navigate their digital transformation journeys and provide assistance in implementing digital technologies. Currently, we are offering assistance to companies that are launching Web 3.0 and Metaverse initiatives with a complimentary outline of definitions and use cases. Request a summary.

How Intelligent Document Processing Is Transforming the Healthcare Industry | Webinar

Anil Vijayan, Partner at Everest Group, will join other industry experts to discuss how several new trends, such as intelligent automation, digitalization, and telehealth have emerged as fundamental driving forces to sustain and transform the healthcare industry.

The speakers will explore:

  • Challenges and emerging trends in the healthcare sector
  • Adoption of intelligent automation in the healthcare industry
  • Critical capabilities of IDP solutions and their benefits for enterprises
  • How the healthcare sector is exploiting IDP to address some of the challenges faced by the industry

Register for the webinar

When

Thursday, May 19, 2022, at 12:00 pm CDT, 1:00 pm EDT, 5:00 pm GMT, 10:30 pm IST

Where

Live, virtual event

Presenters

Anil Vijayan
Partner, Everest Group

Sajesh Gopinath
General Manager, UST SmartOps™

Register for the webinar

Is AI Emotion Detection Ready for Prime Time?

Artificial Intelligence (AI) solutions that aim to recognize human emotions can provide useful insights for hiring, marketing, and other purposes. But their use also raises serious questions about accuracy, bias, and privacy. To learn about three common barriers that need to be overcome for AI emotion detection to become more mainstream, read on.

By using machine learning to mimic human intelligence, AI can execute everything from minimal and repetitive tasks to those requiring more “human” cognition. Now, AI solutions are popping up that go as far as to interpret human emotion. In solutions where AI and human emotion intersect, does the technology help, or deliver more trouble than value?

While we are starting to see emotion detection using AI in various technologies, several barriers to adoption exist, and serious questions arise as to whether the technology is ready to be widely used. AI that aims to interpret or replace human interactions can be flawed because of underlying assumptions made when the machine was trained. Another concern is the broader question of why anyone would want to have this technology used on them. Is the relationship equal between the organization using the technology and the individual on whom the technology is being used? Concerns like these need to be addressed for this type of AI to take off.

Let’s explore three common barriers to emotion detection using AI:

Barrier #1: Is AI emotion detection ethical for all involved?

Newly launched AI-based solutions that track human sentiment for sales, human resources, instruction, and telehealth can help provide useful insights by understanding people’s reactions during virtual conversations.

While talking through the screens, the AI tracks the sentiment of the person, or people, who are taking the information in, including their reactions and feedback. The person being tracked could be a prospective customer, employee, student, patient, etc., where it’s beneficial for the person leading the virtual interaction to better understand how the individual receiving the information is feeling and what they could be thinking.

This kind of AI could be viewed as ethical in human resources, telehealth, or educational use cases because it could benefit both the person delivering the information and those receiving the information to track reactions, such as fear, concern, or boredom. In this situation, the software could help deliver a better outcome for the person being assessed. However, few other use cases are available where it is advantageous for everyone involved to have one person get a “competitive advantage” over another in a virtual conversation by using AI technology.

Barrier #2:  Can discomfort and feelings of intrusion with AI emotion detection be overcome?  

This brings us to the next barrier – why should anyone agree to have this software turned on during a virtual conversation? If someone knows of an offset in control during a virtual conversation, the AI software comes across as incredibly intrusive. If people need to agree to be judged by the AI software in some form or another, many could decline just because of its invasive nature.

People are becoming more comfortable with technology and what it can do for us; however, people still want to feel like they have control of their decisions and emotions.

Barrier #3: How do we know if the results of emotion detection using AI are accurate?

We put a lot of trust in the accuracy of technology today, and generally, we don’t always consider how technology develops its abilities. The results for emotion-detecting AI depend heavily on the quality of the inputs that are training the AI. For example, the technology must consider not only how human emotion varies from person to person but the vast differences in body language and non-verbal communication from one culture to another. Users also will want to consider the value and impact of the recommendations that come out of the analysis and if it drives the desired behaviors that were intended.

Getting accurate data from using this kind of AI software could help businesses better meet the needs of customers and employees, and health and education institutions deliver better services. AI can pick up on small nuances that may otherwise be missed entirely and be useful in job hiring and other decision making.

But inaccurate data could alter what would otherwise have been a genuine conversation. Until accuracy improves, users should focus on whether the analytics determine the messages correctly and if overall patterns exist that can be used for future interactions. While potentially promising, AI emotion detection may still have some learning to do before it’s ready for prime time.

Contact us for questions or to discuss this topic further.

Learn more about recent advances in technology in our webinar, Building Successful Digital Product Engineering Businesses. Everest Group experts will discuss the massive digital wave in the engineering world as smart, connected, autonomous, and intelligent physical and hardware products take center stage.

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