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Understanding & Achieving AI Readiness

Achieving AI readiness involves a comprehensive approach to data management, ensuring high data quality, robust governance, and ethical considerations. By focusing on these key areas, organizations can effectively prepare their data and infrastructure for successful AI initiatives. Read our recent blog on Data AI Readiness: https://www.ovaledge.com/blog/what-is... 0:00 Introduction 0:57 Why do you need to be AI-ready? Or is it just a buzzword? 7:40 Is AI readiness specific to certain industries? 9:34 Are there any industries where AI is not going to create a great impact right now? 12:58 Will there be a sizable impact or ROI from AI? 16:20 How should people approach AI readiness? 20:04 What does it mean for data to be AI-ready? 25:46 Examples of AI ready data 29:13 What is different now? Haven’t we already been doing this? 37:41 Q: What are some of the crucial steps for implementing AI readiness? 39:01 Q: Even if data is high quality, how do you ensure it is well organized and structured to be AI ready? 51:17 Outro Book a call with us to find out how OvalEdge can turn your data into rocket fuel for AI innovation: https://www.ovaledge.com/schedule-a-demo LinkedIn:   / ovaledge   Instagram:   / ovaledgedata   #ovaledge #datagovernance #aiinnovation #ai