A business-strategy-oriented
perspective on Enterprise GenAI
2024 Corporate Buyers Guide to Enterprise Intelligence Applications - $499
Report overview
- extensive review of buying and technology trends
- includes vendor profiles of 3- vendors
- an essential guide to developing your vendor shortlist
Purchase includes
- Dec 1 version
- Update to report in Q2 2025
- Monthly email summarizing top AI vendor news
Why buy?
- Save 5-20 hours researching vendors
- Leverage insights of the AI Analysts at GAI Insights Reduce deployment risk
2023 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.
AVAILABLE NOW FOR FREE - Q4 2023 Edition - Full Report
- The first and only LLM Vendor Overview
- 92 Page Report
- Based on dozens of interviews
- Updated version being researched now for release in Fall 2024
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."
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."
"This Corporate Buyers' Guide is a comprehensive and impressive set of research on this emerging area -- a must read for investors and AI leaders."
Forbes AI Contributor
"Understanding the LLM vendor landscape is challenging. Executives need help understanding vendor differentiations to pursue rapid value creation."
"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."
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?
Actionable frameworks
to assess opportunities
and accelerate adoption securely
Vendor evaluation criteria
reflecting key factors
beyond technology capabilities
Examples and lessons learned
from real-world implementations
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 |
|
Functional Leaders in Marketing, Sales, Service, HR, and Finance |
|
CEOs, CIOs, CTOs, CDOs, CISOs and other C-suite leaders |
|
Investors and Board Members |
|
Insights, Images, and Examples
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?
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.
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
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
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
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
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.
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