Research Spotlight:

Generative AI

The Generative AI Research Spotlight provides access to all research related to this topic. This Spotlight includes:

  • All research outlined below
  • Any updates to the research six months from purchase
  • 60 minutes of analyst inquiry to speak to an analyst
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Included Research

Generative AI Use Cases in Manufacturing
Generative AI Use Cases in Manufacturing
 Presentation | 3Q 2023 | PT-2763
Table of Contents

Executive Summary 

Generative AI Added Revenue by Manufacturing Vertical 

List of Use Cases 

Assessment of Generative AI Use Cases in Manufacturing 

Product Design 

Manufacturing Engineering 

Manufacturing Production 

Manufacturing Operations 

 
Critical Questions Answered
  • Which generative AI use cases have been actively deployed, are currently being worked on, or are in the conceptional phase of development?
  • When should manufacturers expect generative AI to impact their bottom line?
  • What are the early examples and leading companies in the collaboration of manufacturing and generative AI?
Research Highlights
  • Timeline, benefits, and examples of 25 independent generative AI use cases in manufacturing.
  • Generative AI added revenue by manufacturing vertical forecast through 2033.
  • Comparative TTV versus ROI graphic for prioritizing investment, development, and adoption.
full contents...
Generative AI Business Outcomes: Identifying Enterprise Commercial Opportunities
Generative AI Business Outcomes: Identifying Enterprise Commercial Opportunities
 Research Report | 2Q 2023 | AN-5861
Table of Contents

1. EXECUTIVE SUMMARY

2. INTRODUCTION

3. KEY TAKEAWAYS

4. BUILDING THE CASE FOR ENTERPRISE ADOPTION

4.1. BALANCING ENTERPRISE VALUE DRIVERS AND CONSTRAINERS
4.2. COULD FINE-TUNED MODELS QUICKLY SOOTHE ENTERPRISE WORRIES?
4.3. RECOMMENDED FRAMEWORK FOR ENTERPRISE ADOPTION
4.4. UNDERSTANDING OPEN VERSUS CLOSED-SOURCE MODELS FROM THE ENTERPRISE PERSPECTIVE
4.5. GENERATIVE AI THROUGH THE LENS OF DIFFERENT ENTERPRISE SIZES

5. IDENTIFYING ENTERPRISE USE CASES

5.1. USE CASE OVERVIEW
5.2. ENTERPRISE VALUE WILL COME IN WAVES

6. MARKET TRENDS

6.1. OPEN-SOURCE MODEL AVAILABILITY AND INCREASINGLY ACCESSIBLE ML SERVICE TOOLS
6.2. ENTERPRISES LOOK PAST CLOSED MODELS TO GAIN GREATER TRANSPARENCY
6.3. COUNTRY-LEVEL DECISIONS OVER GENERATIVE AI REGULATION/STANDARDS
6.4. TRUSTWORTHINESS AND PERFORMANCE ISSUES CONSTRAIN ENTERPRISES TO ?LOW-RISK? USE CASES
6.5. ENTERPRISE ADOPTERS LOOK TO BUILD STRONG REGULATORY FRAMEWORKS
6.6. SOME VERTICALS SEEING HUGELY VALUABLE USE CASES IN WAVE 1, WHILE OTHERS AWAIT TECHNOLOGY MATURITY

7. ENTERPRISE GENERATIVE AI ETHICAL AND SOCIAL PROBLEMS

7.1. DATA PRIVACY
7.2. WORKFORCE IMPACT
7.3. MISINFORMATION PROBLEMS
7.4. ENVIRONMENTAL IMPACT
7.5. INTELLECTUAL PROPERTY CONCERNS
7.6. TRUSTWORTHINESS
7.7. APPROACHES AND EXPECTATIONS FOR AI REGULATION AND RISK MANAGEMENT

8. GENERATIVE AI VALUE CREATION FORECAST

9. CONCLUDING REMARKS

Critical Questions Answered
  • Who are the early generative AI adopters and winners?
  • What use cases can enterprises deploy across verticals?
  • What strategies can enterprises employ to access generative AI opportunities?
  • How will generative AI adoption vary by enterprise size?
  • Where and how is regulation expected to impact the enterprise market?
Research Highlights
  • Forecast of value created by enterprise generative AI, across 12 different enterprise verticals.
  • Breakdown of use cases and market activity by enterprise vertical.
  • Comprehensive analysis of the enterprise generative AI opportunity with a focus on open-source, fine-tuning, verticals, and size.
full contents...
Generative AI: Identifying Technology Supply Side Revenue Opportunities
Generative AI: Identifying Technology Supply Side Revenue Opportunities
 Research Report | 2Q 2023 | AN-5832
Table of Contents

1. EXECUTIVE SUMMARY

2. INTRODUCTION

3. KEY TAKEAWAYS

4. DIVING DEEPER INTO GENERATIVE AI AND LANGUAGE MODELS

4.1. LLM-BASED GENERATIVE AI OVERVIEW

5. MARKET OVERVIEW

5.1. TECHNOLOGY TRENDS
5.2. COMMERCIAL TRENDS
5.3. MARKET OUTLOOK

6. GENERATIVE AI SUPPLY CHAIN

6.1. OVERVIEW
6.2. RESEARCH AND DEVELOPMENT
6.3. HARDWARE
6.4. FOUNDATION MODELS
6.5. DATA SERVICES
6.6. ML SERVICE TOOLS
6.7. APPLICATION DEVELOPERS
6.8. ENTERPRISE SERVICES
6.9. ETHICS/REGULATIONS/STANDARDS

7. UNDERSTAND THE COMMERCIAL MODEL AND IDENTIFY NEW REVENUE OPPORTUNITIES

7.1. GENERATIVE AI?S COST CHALLENGE
7.2. ASSESSING GENERATIVE AI REVENUE OPPORTUNITIES
7.3. BREAKING DOWN OTHER MONETIZATION OPPORTUNITIES
7.4. WHAT SHOULD STAKEHOLDERS CONSIDER WHEN BUILDING THEIR REVENUE MODEL?

8. GENERATIVE AI SUPPLY CHAIN REVENUE FORECASTS

9. CONCLUDING REMARKS

Critical Questions Answered
  • Which are the most effective monetization strategies for each stakeholder across the generative AI supply chain?
  • What factors are contributing toward generative AI’s cost crisis?
  • Who will be the biggest winners and losers in the generative AI commercial market?
  • What will be the strategic commercial impact of key trends like open-source and fine-tuned models?
  • How do investment and innovation vary geographically?
Research Highlights
  • Exhaustive breakdown of revenue and monetization opportunities, mapped to stakeholders.
  • Overview and evaluation of each node of the supply chain.
  • Forecast of generative AI revenue broken down by supply chain node.
  • Analysis of trends, opportunities, and challenges impacting market supply side.
  • Assessment of geographic disparities in generative AI.
full contents...
Generative AI Comes to U.S. Steel’s Iron Ore Facilities
Generative AI Comes to U.S. Steel’s Iron Ore Facilities
 Insight | 3Q 2023 | IN-7073
U.S. Steel and Google Cloud have developed a generative Artificial Intelligence (AI)-based application, MineMind, to support maintenance teams when they need assistance in tackling and resolving an issue with a haulage truck. The solution could be the foundation for numerous generative AI-based use cases at the firm; however, uncertainty surrounding the firm’s ownership could curtail progress.
Altair’s Acquisition of RapidMiner and the Frictionless Approach to AI Will Prevent Industrial and Manufacturing Firms from Being Distracted by the Hype around AI
Altair’s Acquisition of RapidMiner and the Frictionless Approach to AI Will Prevent Industrial and Manufacturing Firms from Being Distracted by the Hype around AI
 Insight | 3Q 2023 | IN-6996
Altair was ranked number one in ABI Research’s latest competitor ranking for data analytics (see Manufacturing Data Analytics). The addition of RapidMiner and a strategy to remove the barriers to using Artificial Intelligence (AI) should mean that Altair will help embed AI in a multitude of settings across industrial and manufacturing firms.
Generative AI Regulation Is on the Horizon, but How Will This Impact the Market?
Generative AI Regulation Is on the Horizon, but How Will This Impact the Market?
 Insight | 2Q 2023 | IN-6988
Although most governments remain in an exploratory or drafting phase, generative Artificial Intelligence (AI) regulation is on the horizon. Private and public stakeholders must be ready to build a fair framework that mitigates the risks of generative AI, while ensuring that social and economic opportunities can flourish. Given the scope of generative AI, these complex frameworks must look at six interconnected areas to ensure that we move toward “responsible AI”; however, global inconsistency will have far reaching social, economic, and geopolitical implications.
Hyperscalers Set Their Sights on Startup Incubation as They Forge Their Path toward Generative AI Commercialization
Hyperscalers Set Their Sights on Startup Incubation as They Forge Their Path toward Generative AI Commercialization
 Insight | 2Q 2023 | IN-6920
Hyperscalers are at the forefront of generative Artificial Intelligence (AI), but the path toward monetization seems murky. One route that they have identified is to support startups looking to build and scale applications that solve enterprise challenges. But what commercial value will startups bring to hyperscalers and who else should be following in their footsteps?