1、ASSESSING ENTERPRISE GENERATIVE AI OPPORTUNITIES AND CHALLENGESReece Hayden,Senior AnalystINTRODUCTION ChatGPTs release in 2022 is often compared to the“iPhone or smart-phone moment”for Artificial Intelligence(AI).This technology is now more accessible than ever for consumers and enterprises.Surroun

2、ded by a quickly developing Machine Learning(ML)ecosystem,foundation mod-els have revolutionized the speed and cost of deploying generative AI in enterprise applications.This offers significant opportunities,including cost cutting,process automation,and even revenue creation through the development

3、of new/augmented services.ABI Research expects that gen-erative AI will add in excess of US$400 billion in value across enterprise verticals by 2030.However,opportunities may abound,but over the last 2 years,enterprise deployment has not accelerated as quickly as many would have expected.Demand and

4、supply side challenges are both to blame.This whitepaper explores and addresses these market frictions.TABLE OF CONTENTSINTRODUCTION .1ENTERPRISE PERSPECTIVE.2Identifying Enterprise Generative AI Opportunity.2Adoption Challenges.2Assessing Technology Maturity for Enterprise Deployment.5Enterprise De

5、ployment Strategies.6Expectations for Enterprise Generative AI.7State of Enterprise Generative AI Today.8Overcoming Enterprise Problems.10How Do Open,Small Models Stack up to Enterprise Priorities?.12SUPPLY SIDE PERSPECTIVE.15Understanding the AI Supply Ecosystem.15Supply Side Challenges.18State of

6、and Expectations for Generative AI Regulation.18CONCLUSIONASSESSING ENTERPRISE GENERATIVE AI OPPORTUNITIES AND CHALLENGESENTERPRISE PERSPECTIVEThe generative AI market continues to move at breakneck speed,but enterprise adoption remains in an early stage.Enterprises are facing challenges around brin