1、5 steps for maximizing AI success in your organizationAn executives guide to delivering value from data and AIPage 05Across the board,organizations are eager to embrace gen AI,but theyre facing challenges in scaling from pilot projects to full production deployments.Whats holding them back?Their dat

2、a.As a data leader,you are at the forefront of fueling your organizations AI transformation.Gen AI thrives on comprehensive,accurate,and high-quality organizational data.Unfortunately,many organizations struggle with fragmented data silos,poor data quality,lack of proper governance,and other challen

3、ges.To unlock the true potential of gen AI for transformation,organizations need to rebuild their data strategiesfocusing on building modern data platforms that serve as a robust foundation for gen AI initiatives.Based on our work with tens of thousands of organizations on their data and AI platform

4、 strategy,this guide shows you five steps to building a solid foundation for AI success.74%of enterprises using gen AI report ROI within the first year,with 86%of those reporting increased revenue noting a 6%or more increase170%of organizations adopting gen AI have experienced difficulties with data

5、 governance,integrating data into AI models,and insufficient amount of training data280%of organizational data is untapped in the form of unstructured datacustomer contracts,call center recordings,employee handbooks,and product specs362%of organizations find data security and privacy are the greates

6、t challenges for gen AI adoption4Page 0286%of organizations recognize that delivering contextual and relevant user experiences through gen AI integrated databases has a substantial positive impact5AI success relies on data01Create an AI-first data strategy02Connect all your data to AI to drive insig