1、A t e c h no l o g y l e a de rs g u ide t oFull-stack generative AI for the enterpriseFoundation models3Introduction1Generative AI for enterprise5Use cases for AI10Build vs Buy12Evaluating AI vendors14Measuring ROIAgile strategy1517Table of contentsIf youre wondering when your company should adopt

2、generative AI solutions,the answer is“yesterday.”Youre being hit from all sides:leadership,employees,and the companys board:Whats the plan?And you likely know the repercussions of slow adoption.From a business standpoint,your competitors will fly ahead of you if they adopt AI and you dont.And from a

3、n investment standpoint,you could have already achieved a return on investment in the timeframe you chose to put off the project.Companies cant afford to push generative AI adoption into the future.Your strategy cant be a 3-year roadmap.Instead,you want to think about what you can get done in the ne

4、xt six months to a year.You can start with small use cases,in specific groups within the organization,and then expand from there.Yet the pace at which generative AI is developing is also overwhelming.You have to find the line between cutting-edge and racing to a solution that ultimately isnt sustain

5、able and wont serve your business needs.Its about balancing scalability and risk:implementing a platform that can meet your data protection and quality needs.If youre not sure where to start,this guide has got you covered.Well walk you through the landscape of generative AI technology on the market

6、today,what to consider when evaluating vendors,and how to establish a clear path to ROI.2INTROYouve probably heard and seen!that AI is only as good as the data its trained on.Foundation models are the AI models trained on massive datasets.Theyre the backbone on which companies build generative AI ap