Automated Machine Learning in Power BI

English Introductory and overview Analytics

Machine learning is a data science technique to use massive historical data to forecast future behaviors, outcomes, and trends without being explicitly programmed. This session will introduce how to incorporate Machine Learning predictive models into Power BI to gain better predictions and insights about the future. The ability to visualize and invoke insights from these models, in your reports and dashboards and other analytics, can help disseminate these insights to the business users who need it the most. This makes collaboration among business analysts and data scientists easier and faster than ever before.


Ashraf Ghonaim

Strategic Management and Analytics Consultant at the City of Toronto

Ashraf Ghonaim is a Strategic Management Consultant at the City of Toronto. He holds a Computer Engineering degree and an MBA degree in Strategic Management with special emphasis on IT-Business Strategic Alignment using Balanced Scorecard. He is also a certified Balanced Scorecard Professional™ from the co-creators Drs. Kaplan and Norton, a Lean Six Sigma Black Belt and a Project Management Professional (PMP). Ashraf is passionate about Visual Analytics using Power BI and he is the leader of the Toronto Power Platform (Power BI, PowerApps, Automate) user group. He is also a frequent speaker in the professional meetup groups and Microsoft events like Power BI World Tour, Dynamics 365, SQL Saturdays, etc. Ashraf also volunteers in several Open Data and Data for Public Good initiatives.

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