Stream: New Technologies
Time: 11:30 - 12:15
Machine Learning (ML) and Predictive Analytics have been revolutionizing in the recent past how organizations can and should use data to drive intelligent decisions. This session explores the wide-ranging applications of ML and predictive analytics by identifying patterns, forecasting future outcomes, and automating decision-making, these technologies enable businesses to gain a competitive edge. The session introduces key ML models and analytical methods, presents real-world use cases. It also discusses challenges such as data quality, model explainability, and ethical concerns, offering a comprehensive view of the transformative power of predictive intelligence. - What is machine learning - What is Predictive Analysis - How ML powers Predictive Analytics - Key ML models used in Predictive Analytics - Application by industry - Building Predictive System - Benefits / Challenge
There is currently no attachment for Applications of Machine Learning (ML) and Predictive Analytics
Sr Product Manager - Intelligent Z Optimization and Transformation (IZOT) at BMC Software I own and manage DB2 Admin portfolio of products, make an honest attempt to maximize the value delivered sprint after sprint, build the product strategy and roadmap and build and maintain product backlog.
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