Understanding and Applying Advanced Analytics – Predictive, ML and AI

Includes a Live Web Event on 10/29/2025 at 10:30 AM (CDT)

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This course is designed for experienced professionals and has a strong focus on application of data and insights to improve business performance. The webinar will discuss fundamentals of predictive analytics, regression models, fundamentals of AI (Artificial Intelligence) and ML (Machine Learning), key characteristics of ML models, supervised and unsupervised ML algorithms, ensemble models and generative AI (ChatGPT/Gemini) and RAG models. The course will review a number of real-world case studies to help members explore how organizations use advanced analytics to achieve various business goals.

Prashanth Southekal

Managing Principal

DBP-Institute

Dr. Prashanth H. Southekal is the managing principal of DBP-Institute, a data analytics consulting and education company.

Dr. Southekal has over 30 years of information management experience from over 75 companies such as SAP, Shell, Apple, P&G, and GE and has trained over 4,500 professionals worldwide in analytics, data products, and enterprise performance management (EPM). He is the author of three books - Data for Business Performance, Analytics Best Practices, and Data Quality. He writes regularly on data, analytics and machine learning for Forbes.com, FP&A Trends and CFO University. Analytics Best Practices is in the top 100 analytics books of all time and in May 2022 was ranked No. 1 by BookAuthority.

Dr. Southekal is an adjunct professor of data analytics at IE Business School (Spain) where he received the teaching excellence award for the 2020-2021 academic year. CDO Magazine has included Dr. Southekal in the 2022 LIST OF LEADING ACADEMIC DATA LEADERS.

Dr. Southekal holds a PhD from ESC Lille (France) and an MBA from Kellogg School of Management (U.S.).

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Webinar
10/29/2025 at 10:30 AM (CDT)  |  90 minutes
10/29/2025 at 10:30 AM (CDT)  |  90 minutes This course is designed for experienced professionals and has a strong focus on application of data and insights to improve business performance. The webinar will discuss fundamentals of predictive analytics, regression models, fundamentals of AI (Artificial Intelligence) and ML (Machine Learning), key characteristics of ML models, supervised and unsupervised ML algorithms, ensemble models and generative AI (ChatGPT/Gemini) and RAG models. The course will review a number of real-world case studies to help members explore how organizations use advanced analytics to achieve various business goals.
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