1、FROM DATA TO VALUE A Guide to Harnessing the Potential of Generative AIFrom Data to Value:A Guide to Harnessing the Potential of Generative AI203 Generative AI:From Data to Value 04 Opportunities with Generative AI05 Emerging Industry Use Cases for Generative AI 07 Navigating the Challenges:Disrupti

2、on Risk 08 Navigating the Challenges:Technology Risk09 How to Mitigate Generative AI Risks 10 How to Align Generative AI with Your Strategic Priorities11 Stages of End-to-End Generative AI Workflows 12 AI Maturity Curve:How to Assess Your Generative AI Readiness13 Unlock Generative AI Innovation wit

3、h DataRobot and AWS14 Maximizing AI Ecosystem Investments with Deep DataRobot and AWS Integrations15 The Value of DataRobot and AWSContentsFrom Data to Value:A Guide to Harnessing the Potential of Generative AI3Generative AI is taking the world by storm.All CEOs,data leaders and AI leaders are being

4、 asked:What are we going to do about it,and what is our plan?Lets be clear.There is a tsunami of change coming with generative AI.It is bigger and moving faster than the advent of the internet.We wont sugar coat it,though.Like all great advancements,this transformative journey wont be seamless.There

5、 will be challenges,and the choices you make will matter in what you do to make generative AI safe,useful,and valuable for your organization.Weve mapped out some steps to take and how to frame your perspective so when your board asks,“Whats your plan?”youre armed with a comprehensive strategy to lev

6、erage the full capabilities of generative AI.Generative AI is a type of deep learning that is designed to generate human-like responses or content in response to a prompt,often using Large Language Models(LLMs)to interpret or generate natural language text.They power generative AI apps and services