Abstract: While there is a lot of pressure on business leaders to leverage machine learning in their areas, there isn't a clear framework of how these leaders should decide on which ML projects to invest in and which ones not to invest in! This is a key reason why many ML project get left mid-way and many others don't show ROI post implementation - even after thousands of human hours have been put into them. In this session, you, as a business leader, will learn 5 questions that you must answer in deciding which ML project to invest - from prioritization to measuring real impact. I'll also share my experience seeing ML projects in action, driving real value, with use cases covering various industries.
Bio: Prem Prakash heads product marketing for Machine Learning, Developer Tools and Training at Databricks. Previously he has led product marketing at Microsoft for Azure AI portfolio of services. With an academic background in engineering and MBA, and over 15 years of experience in technology sales and marketing, he is passionate building and scaling marketing teams to drive awareness and adoption of technology products.
Senior Director for Product Marketing, Data Science & Machine Learning, and Developer Tools | Databricks