1、Data readiness in the age of generative AI 2Data readiness in the age of generative AI|Six new data essentials 2All business leaders need a greater understanding of the importance of data in the age of generative AI.Six data essentials to stay ahead of the packData readiness in the age of generative

2、 AI|Six new data essentialsGenerative AI stands poised to help companies reinvent themselvesby streamlining operations,delivering better customer experiences and otherwise driving growth in many ways.Thats why,in a global survey by Accenture of 2,300 business leaders nearly all(97%)said they believe

3、 that generative AI is a“game-changing”technology worthy of long-term investment.1 However,despite these great expectations,many companies struggle to turn their generative AI pilots into scalable solutions.A big reason for this,our research also shows,is that most organizations are still not“data r

4、eady”for generative AI.For example,when Accenture surveyed 2,000 CXOs in 2024,48%said their organizations lacked enough high-quality data to operationalize their generative AI initiatives.2So what does it mean to be data-ready for generative AI?Companies with high readiness have the right data,with

5、the right quality,in the right quantity.They meticulously capture data from every aspect of their business and curate it so they can analyze and use it later.And they have robust governance to manage,maintain and operate their data responsibly.To their credit,most companies today recognize the value

6、 of data and have established multiyear programs to enhance their data capabilities.Indeed,in the same 2024 survey,75%of executives said that“good quality data”is the most valuable ingredient to enhance their generative AI capabilitiesnow and over the next six months.3 In Accentures 2023 report,Clou