Author: VishalGupta

Analytics and Artificial Intelligence (AI) Services Specialists PEAK Matrix® Assessment 2024

Analytics and Artificial Intelligence (AI) Services Specialists

Amid the macroeconomic headlines, many enterprises seek a proven RoI track record before committing to investments in Analytics and AI. Additionally, a stringent regulatory environment is prompting enterprises to cautiously approach the adoption of generative AI. These enterprises are seeking assistance from analytics and AI services specialists to run pilot projects and scale up implementations. This demand is driving providers to invest in deepening their data, analytics and AI capabilities and expanding their industry knowledge.

Analytics and Artificial Intelligence (AI) Services Specialists

What is in this PEAK Matrix® Report

 In this report, we assess 26 analytics and AI services specialists featured on the Analytics and AI Services Specialists PEAK Matrix® 2024.
 

Contents: 

This report features detailed profiles of 26 analytics and AI services specialists and includes:

  • Everest Group’s PEAK Matrix® evaluation of analytics and AI service providers, categorizing them into Leaders, Major Contenders, and Aspirants
  • Providers’ key strengths and limitations

Scope:

  • Industry: data and analytics
  • Geography: global
  • The assessment is based on Everest Group’s annual RFI process for the calendar years 2022 and 2023 H1 (January-June), interactions with leading analytics and AI services specialists, client reference checks, and an ongoing analysis of the analytics and AI services market

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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

Data Annotation and Labeling (DAL) Solutions for AI/ML PEAK Matrix® Assessment 2024

Data Annotation and Labeling (DAL) Solutions for AI/ML

The global spend on AI is soaring as enterprises across diverse sectors increasingly tap into its transformative potential. With the emergence of generative AI / Large Language Models (LLMs), enterprises worldwide are swiftly adopting AI to unlock new revenue streams, reduce operating costs, enhance user experiences, and gain significant industry differentiation. However, at the core of AI development lies the need for large training datasets, a challenge met by Data Annotation and Labeling (DAL) services.

However, managing DAL capabilities in-house appears to be costly, time-intensive, and resource-draining for enterprises. As a result, businesses are outsourcing DAL solutions to external providers. In their quest, enterprises seek partners capable of accelerating their time-to-market with annotation projects delivered at scale and speed without compromising data quality. They prioritize providers that emphasize relationship-building, cost-effectiveness, agility, and a steadfast commitment to deliver tangible business impact and RoI throughout their transformation journey. Equipped with trained workers and robust annotation platforms, these providers efficiently guide enterprises through the DAL landscape.

Data Annotation and Labeling (DAL) Solutions for AI/ML PEAK Matrix® Assessment 2024

What is in this PEAK Matrix® Report

In this report, we assess 19 providers featured in the Data Annotation and Labeling (DAL) solutions for AI/ML PEAK Matrix® Assessment 2024. Each profile offers a comprehensive overview of the provider’s strengths and limitations, enabling enterprises to make informed decisions as they navigate the evolving DAL landscape.
 

In this report, we examine:

  • The DAL solutions provider landscape
  • DAL PEAK Matrix® characteristics
  • Enterprise sourcing considerations

Scope

  • All industries and geographies
  • The assessment is based on Everest Group’s annual RFI process for the calendar year 2024, interactions with DAL solutions providers, client reference checks, and an ongoing analysis of the DAL services market

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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

Comparing Large Language Models: Everest Group’s AI LLM Assessment Provides a Powerful Framework for Enterprise Decision-Making | Blog

Selecting the right Large Language Model (LLM) is critical for developing the best-suited generative AI (gen AI) solution. However, choosing an LLM on the number of parameters alone can be a costly mistake as larger size alone doesn’t always equate to better performance. Discover a comprehensive framework that evaluates and compares more than a dozen LLMs on 27 key parameters to enhance enterprise decision-making.  

Since the fervor surrounding gen AI started in November 2022, the explosion of LLMs is redefining language understanding and generation boundaries. As more models continue to emerge, evaluating them presents a significant challenge. A more structured and detailed approach is critically needed to evaluate these massive models that goes beyond assessing them solely on their sheer number of parameters.

Given the rising interest in gen AI across diverse applications, the lack of comprehensive research into LLM evaluation is striking. Relying solely on the parameter count when choosing an LLM can be misleading. It neglects crucial performance aspects, increases implementation costs, hinders enterprise readiness, enhances risk, and more. As these LLMs shape interactions and decision-making, an all-inclusive evaluation framework is essential to navigate their impact effectively.

Building on inaugural research in this area, Everest Group has assessed LLMs on multiple parameters and showcased how they rank against each other to help enterprises make the best and most informed decisions.

Introducing Everest Group’s AI LLM Assessment

Everest Group’s AI LLM Assessment presents a comprehensive framework, offering valuable guidance for stakeholders seeking to understand the various elements of LLMs. This assessment meticulously evaluates 13 leading LLMs across 27 distinct dimensions.

The framework evaluates LLMs’ unique capabilities, enabling a deeper understanding of their functionalities. Consequently, enterprises can determine which LLMs are fast, user-friendly, and capable of handling large amounts of input data for practical implementations.

The AI LLM Assessment evaluates various capabilities through such dimensions as the number of tokens they can process, the modalities supported, inference speed, training data quality, and overall market perception. These factors ultimately become differentiators, setting LLMs apart from peers and predecessors.

Below is a snapshot of the Everest Group AI LLM assessment matrix or explore the full framework.

Picture1

The hype of large language models – is bigger always better?

Recently, we have witnessed numerous technology providers developing their LLMs. Each model aims to outperform the others by emphasizing its larger size compared to its peers and previous iterations. However, it is rarely discussed whether having more parameters and larger datasets actually enhances the ability to deliver value across various use cases.

LLM advancements have highlighted a fascinating trend where smaller models like PaLM 2 have demonstrated superior performance despite being trained on fewer parameters than their predecessors. These compact models not only offer better performance but also deliver faster inference times and reduced processing costs. This underscores that larger models may not always be the only way to achieve the desired outcomes.

Choosing the right LLM

Deciding which LLM is the best fit for enterprise applications and use cases based on LLM capabilities and features is the most crucial step in developing a gen AI solution. After assessing a model for these variables, understanding how easily it can be integrated into enterprise operations is vitally important.

To address this need, the framework takes into account the feasibility of practical implementation, considering factors such as the average implementation cost based on usage and ecosystem readiness. The framework also examines the selected LLMs for potential risks that may hinder enterprise adoption.

By considering capability versus adoption ease, the framework offers enterprises a balanced approach for analyzing LLM attributes and functionalities while also accounting for the associated challenges and considerations to integration and utilization.

The path to enhanced LLM performance and adoption

This framework has the potential to help developers enhance their capabilities over peers in building new LLMs tailored for specific tasks or applications by better understanding competitors’ strengths and weaknesses.

While LLM evaluation is undeniably complex and continuously evolving, this framework provides a vital starting point. As Everest Group continues to track developments in the gen AI landscape, we welcome discussing potential use cases, risk and cost considerations, and the impact of gen AI across various industries.

Please reach out to Priya Bhalla, [email protected], Vishal Gupta, [email protected], Vaibhav Bansal, [email protected], Yukta Sharma, [email protected], or Vatsalya Singhal, [email protected] to discuss generative AI topics further.

The Generative AI Odyssey: A Year in Review and What’s Ahead in 2024 | Webinar

on-demand webinar

The Generative AI Odyssey: A Year in Review and What's Ahead in 2024

In 2023, we witnessed massive investments in generative AI, with the majority coming from the supply side. Despite the initial fervor ignited by ChatGPT, the anticipated surge in enterprise adoption is yet to come. One factor contributing to this delay is the need for real-world implementation examples to make adoption more realistic and attainable.

In this webinar, our expert analysts explored the hype vs. reality of generative AI, showcased actual production-level use cases, addressed challenges head-on, and provided a glimpse into the future of this transformative technology as we move into 2024.

What questions has the webinar answered for the participants?

  • Beyond the hype, what does real generative AI adoption look like in enterprises?
  • What are the key technology trends shaping the generative AI market?
  • What will be the future themes across generative AI in 2024?

Who should attend?

  • Global enterprises
  • CIOs, CTOs, CDOs, Chief AI Officers (CAIO)
  • Technology directors, IT managers
  • Data & Analytics heads
  • ITS/BPS strategy heads
  • Senior AI executives
  • Service providers
  • Technology providers
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Artificial Intelligence (AI) Services PEAK Matrix® Assessment 2023

Artificial Intelligence (AI) Services 

Rapid advances in AI, bolstered by recent developments in generative AI, are prompting organizations to invest in targeted AI initiatives to achieve business-oriented outcomes. Despite these developments, organizations are unable to fully capitalize on the potential benefits due to fragmented deployments across isolated departments.

Providers with extensive AI capabilities, domain expertise, and a portfolio of innovative solutions can serve as invaluable partners that guide enterprises through the evolving AI ecosystem and translate pilot projects and Proofs of Concepts (PoCs) into successful implementations.

AI Services PEAK Matrix Assessment 2023 1

What is in this PEAK Matrix® Report

In this report, we analyze 26 AI service providers featured on Everest Group’s AI Services PEAK Matrix® 2023 and highlight the strengths and limitations of each provider. The study will enable buyers to choose the best-fit provider based on their sourcing considerations, while providers will be able to benchmark their performance against each other. 


In this report, we present: 

  • The AI service provider landscape
  • AI services PEAK Matrix® characteristics
  • Enterprise sourcing considerations

Scope

  • All industries and geographies
  • The assessment is based on Everest Group’s annual RFI process for the calendar year 2023, interactions with leading AI service providers, client reference checks, and an ongoing analysis of the AI services market

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What is the PEAK Matrix®?

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Everest Group’s AI Top 50™ List: Who’s Leading a Decade of Disruption? | Blog

With its first-ever AI Top 50™ list, Everest Group recognizes the exceptional business performance of AI technology providers globally. This valuable ranking serves as a useful tool for enterprise decision-making and provider comparisons. Continue reading to learn more about the leading AI-first providers featured, as determined by Everest Group’s comprehensive research.

Everest Group has launched its inaugural AI Top 50 list of the most prominent technology providers worldwide that prioritize artificial intelligence (AI) at their core. The list was determined by evaluating rigorous, objective criteria, which include AI revenues, total funding secured, share of funding received in the past two years, and company valuation. This vital report will be released annually.

See Everest Group’s Top AI 50 list.

Why is the Everest Group AI Top 50 important today?

In the past decade alone, over 5,000 AI technology providers have emerged with different specializations across various domains and geographic regions. The remarkable growth underscores AI’s critical role in shaping the future of technology and its enduring impact on daily lives. Recently, the introduction of large language models (LLMs) has further sparked an innovation wave across various industries, shaping interactions and decision-making and revolutionizing everything from chatbots to content creation.

With this rapid progression in the past few years, and even months, businesses across all industries are rushing to gain insight into the technology to stay competitive as it reshapes industries, streamlines processes, and redefines interactions between humans and machines.

The list will assist enterprises in identifying AI technology providers that have achieved notable scale. Businesses, investors, and industry professionals can gauge the providers’ competitive positioning and potential in the ever-evolving AI industry. Additionally, the ranking is a resource for AI-first technology providers to benchmark themselves against industry peers.

How does Everest Group define AI?

To define the terms in the report, we used a multi-faceted approach, drawing on a combination of exclusive proprietary data, including insights gathered directly from AI technology providers. Along with that, the methodology incorporates publicly accessible information such as reported revenue, total funding, and valuation data obtained from publicly accessible sources. This thorough methodology ensures the accuracy and breadth of the data.

How is the Everest Group AI Top 50 list determined?

From a database of 2500-plus AI providers, we narrowed the pool to 250 firms after initial preliminary screening. The selected AI technology providers were then evaluated and positioned based on a set of qualification criteria. The research findings provide a comprehensive snapshot of their standing in the dynamic AI landscape.

The AI Top 50 list represents AI technology providers that meet the following criteria:

AI-first

All the companies listed develop and integrate AI as a central and indispensable component of their products and solutions. In other words, their offerings would be fundamentally incomplete without AI.

Software-first

The featured providers develop and offer software-based AI solutions as their primary offering, meaning their core focus revolves around delivering AI through software applications.

Business-to-business (B2B) focus/offerings

The providers on the list tailor their software products and solutions to meet the technology needs of other businesses.

With AI becoming a more essential component of business and individuals’ daily lives, the Everest Group AI Top 50 list empowers organizations to navigate this dynamic field. See the Everest Group AI Top 50 list.

To learn more about the 2023 Everest Group AI Top 50, reach out to Priya Bhalla, [email protected], Vishal Gupta, [email protected], and Niraj Agarwal, [email protected].

Data and Analytics (D&A) Services for Mid-market Enterprises PEAK Matrix® Assessment 2023

Data and Analytics (D&A) Services for Mid-market Enterprises

Currently, mid-market enterprises stand at a crucial juncture. They are striving to strengthen their Data and Analytics (D&A) foundation while simultaneously exploring cutting-edge technologies such as generative AI. In an ever-evolving market landscape, these enterprises are keen on achieving excellence and fostering innovation when selecting a provider. In their pursuit, mid-market enterprises are seeking partners that prioritize building strong relationships, cost-efficiency, agility, nimbleness, and a steadfast commitment to delivering tangible business impact and Return on Investment (RoI) at every stage of their transformation journey. Providers equipped with inventive solutions, accelerators, and strong advisory capabilities can efficiently guide these enterprises through the dynamic D&A landscape.

Data and Analytics (D&A) Services

What is in this PEAK Matrix® Report

In this report, we assess 29 providers featured on the D&A services for mid-market enterprises PEAK Matrix® 2023. Each profile offers a comprehensive assessment of the provider’s strengths and limitations, empowering mid-market enterprises to make informed decisions as they navigate the ever-evolving D&A landscape.
 

In this report, we deliver:

  • The D&A service providers landscape for mid-market enterprises
  • D&A services for mid-market enterprises PEAK Matrix® characteristics
  • Enterprise sourcing considerations

Scope

  • All industries and geographies
  • The assessment is based on Everest Group’s annual RFI process for the calendar year 2023, interactions with D&A service providers, client reference checks, and an ongoing analysis of the D&A services market

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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

Untangling the Risks of Generative AI: Solutions to Your Safety Concerns | Webinar

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Untangling the Risks of Generative AI: Solutions to Your Safety Concerns

There is an increasing urgency among enterprises to explore the potential benefits of generative AI and leverage it to stay ahead of the curve. However, with all its promises, enterprises and providers must be wary of the pitfalls that can hinder its scaled adoption.

By addressing the risks and challenges head-on, enterprises can access the possibilities of generative AI, while service and technology providers can ensure their solutions are ethical, safe, and responsible.

Watch this webinar as our analysts uncover the critical risks and safety considerations surrounding generative AI. They will also explore generative AI business implications and present potential solutions. 


What questions has the webinar answered for the participants?

  • What are the key risks or safety considerations related to generative AI?
  • What are the implications of these risks for enterprises? 
  • What are the best practices or potential solutions to overcome generative AI risks?

 Who should attend?

  • Global enterprises 
  • CIOs, CTOs, CDOs, Chief AI officer (CAIO)
  • IT managers
  • Technology directors
  • Data & analytics heads
  • ITS/BPS strategy heads
  • Senior AI executives
  • Service providers
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From Hype to Reality: Generative AI in Action | LinkedIn Live

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From Hype to Reality: Generative AI in Action

View the event on LinkedIn, which was delivered live on Wednesday, October 04, 2023.

As we enter the post-hype phase of generative AI, enterprises now want to understand its tangible 🔗 benefits and practical applications. However, real-world implementation use cases are not fully known or well understood.

📢📢Join this LinkedIn Live discussion, where we’ll explore how senior enterprise stakeholders are approaching generative AI as a technology, their current investments, and which high-priority, production-level use cases and applications they’re focusing on. Joining us will be Piyush Kumar, Vice President, Head Data Engineering at MakeMyTrip, to share his company’s generative AI journey.

Our discussion will also tackle the inherent challenges, from data privacy to cost concerns, for practical implementation. You’ll gain valuable insights 📝and have an opportunity to ask questions about the potential of generative AI for your business.

What questions will this event answer?

✅ What is the current on-the-ground adoption of generative AI among enterprises?
✅ Which enterprise areas or functions currently see the most activity and interest from a generative AI perspective?
✅ What are the key challenges and risks associated with generative AI, and what are the potential solutions to overcome them?
✅ How can organizations become gen AI-ready?

Data and Analytics (D&A) Services PEAK Matrix® Assessment 2023

Data and Analytics (D&A) Services 

Enterprises are struggling to strike the right balance between value realization and experimentation through their Data and Analytics (D&A) investments amid the macroeconomic conditions. They are prioritizing RoI and direct business outcomes from D&A initiatives. At the same time, the emergence of technologies such as generative AI is pushing enterprises to experiment and build a solid data foundation to enable these technologies.

D&A service providers, which include IT/BPO firms and consulting companies with a broad set of D&A capabilities, domain expertise, and off-the-shelf accelerators, can help enterprises reduce the time-to-value and improve business outcomes through consistent and data-driven decision-making. Their recent investments in next-generation technologies and their transition toward driving direct business value for their clients can help enterprises navigate the market’s dichotomy.

data and analytics

What is in this PEAK Matrix® Report

In this report, we analyze 27 D&A service providers featured on Everest Group’s D&A Services PEAK Matrix® 2023 and highlight the strengths and limitations of each provider. The study will enable buyers to choose the best-fit provider based on their sourcing considerations, while providers will be able to benchmark their performance against each other. 

In this report, we provide:

  • The D&A service provider landscape
  • D&A Services PEAK Matrix® characteristics
  • Enterprise sourcing considerations

Scope:

  • All industries and geographies
  • The assessment is based on Everest Group’s annual RFI process for the calendar year 2023, interactions with leading D&A service providers, client reference checks, and an ongoing analysis of the D&A services market

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Our Latest Thinking

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

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