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Corporate Buyers' Guide to LLMs

Unlock the transformative potential of Large Language Models in your business with our comprehensive guide. Backed by 1700 hours of research from our industry-leading AI analysts and insights from 200 organizations, this initial evaluation of LLM vendors offers in-depth vendor profiles and actionable strategies for corporate decision-makers. Read report excerpt.

Available NOW: Q4 2023 Edition

Premium 1-year Subscriptions range from $1,999 (Individual) to $44,999 (Enterprise/Large Corporate) and include:

  • The first and only LLM Vendor Overview
  • Regular updates to keep you apprised of the latest developments in this rapidly changing landscape
  • Monthly Webinars with GAI Insights Analysts
  • Online access to 22 videos from Generative AI World Conference 2023

 

Pricing

 

 

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EmergingLeaderBadge_Final

Twenty-seven vendors were evaluated along 20 dimensions and 10 were named as emerging leaders:

Industry Experts Recommend the Guide

"This new AI wave is a tsunami that threatens any business model. To stay afloat, you need to prepare the foundational layers to compete in this new era. The GAI Insights Corporate Buyers' Guide to LLMs is your life-saving ring."
JosePedroAlmeida
José Pedro Almeida
Chief AI Strategist in Healthcare
World's Top 70 Health AI Brains
"Business, data, and AI leaders are excited but confused about how they can use GenAI to gain competitive advantage. This guide will help them build a clear and cogent strategy."
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Kevin Petrie
VP of Research at Eckerson Group
"This Corporate Buyers' Guide is a comprehensive and impressive set of research on this emerging area -- a must read for investors and AI leaders."
JohnWerner
John Werner
Managing Director and Partner at Link Ventures
Forbes AI Contributor
"Understanding the LLM vendor landscape is challenging. Executives need help understanding vendor differentiations to pursue rapid value creation."
PIeterSchouten
Pieter Schouten
Chief Innovation Officer, Ensemble Health
"The Corporate Buyers' Guide to LLMs is an incredibly valuable resource to choose LLMs, which are the beating heart and engine of all the new Generative AI applications. It's helpful because it cuts through the noise and the hype."
Lucinda_Linde-1
Lucinda Linde
Senior Data Scientist
Ironside Group

 

Who is this guide for? 

This guide is helpful for:

  • Technology executives who are responsible for using GenAI to drive the technological growth and return on investment (ROI) of their firm
  • Busy corporate executives who are accountable for understanding and applying GenAI in their firm for tangible business results
  • C-suite and board executives interested in comprehending what GenAI is, how to think about it, and its implications for their firm
  • Vendors who want to help their clients understand the GenAI landscape
  • Investors seeking to make sound decisions on where to place their bets in an early and quickly evolving vendor market

Who is this guide for? 

  • Technology executives who are responsible for using GenAI to drive the technological growth and return on investment (ROI) of their firm
  • Busy corporate executives who are accountable for understanding and applying GenAI in their firm for tangible business results
  • C-suite and board executives interested in comprehending what GenAI is, how to think about it, and its implications for their firm
  • Vendors who want to help their clients understand the GenAI landscape
  • Investors seeking to make sound decisions on where to place their bets in an early and quickly evolving vendor market

Why Read This Guide?

business-strategy-1

A business-strategy-oriented
perspective on Enterprise GenAI

actionable-frameworks

Actionable frameworks
to assess opportunities
and accelerate adoption securely

vendor-evaluation

Vendor evaluation criteria
reflecting key factors
beyond technology capabilities

lessons-learned

Examples and lessons learned
from real-world implementations

data-guidance

Data-backed guidance
on managing risks around
ethics, bias, and job loss

This guide will provide the following value to leaders across functions and domains within an organization:

More specifically, this guide will provide the following value to leaders across functions and domains within an organization:

Leadership Role Value Acquisition
Heads of artificial intelligence (AI), Analytics, and Digital Transformation
  • Discover best practices for governance, policies, and change management 
  • Access tools to build business cases and evaluate vendors/licensing
  • Learn real-world case studies and funding data to inform your strategy
Functional Leaders in Marketing, Sales, Service, HR, and Finance
  • Identify high-potential GenAI applications in your domain
  • Quantify expected productivity gains from real-world examples
  • Learn how peers are piloting GenAI to transform operations 
CEOs, CIOs, CTOs, CDOs, CISOs and other C-suite leaders
  • Get clarity on where GenAI can drive value and competitive advantage
  • Learn a strategic approach to evaluation, pilot projects, and scaling
  • Understand how to mitigate risks around data, ethics, and job impacts
Investors and Board Members
  • Understand the technology and evolution of enterprise GenAI 
  • Gain insight into market activity and assess investment opportunities
  • Appreciate risks and develop a prudent adoption roadmap for portfolio companies

WINS Framework

 

WINS Framework

Our WINS framework, published in the Harvard Business Review in September 2023, helps executives look at their cost base and ask two vital questions: How much of my cost base is made up of labor and technology supporting the creation of Words, Images, Numbers and Sounds (WINS)? And, how digitized is that work? 


MarketMap - 11.13.2023

Paul Baier

Paul Baier

CEO and Principal Analyst

Paul is the CEO and principal analyst at GAI Insights. He is a seasoned software entrepreneur with two decades of experience. Paul has been an executive at multiple VC-backed startups, notably as VP of Product at First Fuel, an enterprise AI SaaS company. He holds an MBA from Harvard and a BA from Kenyon College.

John Sviokla

Dr. John J. Sviokla

Co-founder of GAI Insights

Dr. Sviokla is the co-founder of GAI Insights. Throughout his career he has explored the practical implications of leading technologies. He is widely published and was a Partner at PwC, Vice Chairman of Diamond Technology Partners, and a Harvard Business School Professor, where he pioneered AI research and AI courses. Dr. Sviokla has his Doctorate, Master's, and BA from Harvard University.

Tim_Andrews

Tim Andrews

AI Analyst

Tim is an AI Analyst at GAI Insights. He is a luminary in innovative technology. Tim's past work includes a VP position at Booz Allen Hamilton, CTO at Viant Corp., and early software contributions to the Apple Macintosh. He holds an MSEE/CS from Worcester Polytechnic and a BA from Dartmouth.

Julio Barros

Julio Barros

AI Analyst

Julio is an AI Analyst at GAI Insights. He is the founder of E-String Technologies, a cutting-edge AI consultancy. He holds a Master's from the University of Virginia and a BS from George Mason University.

Adam Rappaport

Adam Rappaport

AI Analyst

Adam is an AI analyst at GAI Insights. He brings 30 years of experience across various industries, including finance, telecommunications, government, and emerging tech startups.

Amanda Fetch

Amanda Fetch

AI Analyst

Amanda is an AI Analyst at GAI Insights. She has two decades of experience in analytics, data science, AI/ML, and her work spans academia and corporate sectors. She is completing a PhD dissertation related to AI.

Vivian Peters

Vivian Peters

AI Research Analyst

Vivian is an AI Research Analyst at GAI Insights. Vivian brings a solid decade of research experience. He holds a BBA from the University of New Brunswick.

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