AIM Councils’ Post

The world’s economy will dramatically transform in the coming years as organizations will increasingly use digital technologies, data, analytics, and AI to measure and improve business performance. But many organizations are not successful in leveraging data, analytics, and digital/AI for improved business outcomes. Against this backdrop, quality data holds the key to providing business value, and many organizations are impaired by poor data quality. So, what are the key data quality best practices - patterns and anti-patterns companies can adopt today for better business outcomes? In the upcoming Online Meetup we will be joined by Prashanth H Southekal, PhD, MBA, Founder and Managing Principal of DBP-Institute. He brings over 25 years of Information Management experience from over 80 companies. In this discussion he will talk about "The 12 Key AI Patterns for Improving Data Quality", Specifically, he will discuss the rationale as to why each best practice matters in today’s business environment and offer prescriptive recommendations or solutions so that organizations can implement those data quality best practices. Looking forward to the discussion on Friday!

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