Date: May 12, 2022 | Time: 1:00pm - 3:00pm ET | Format: Online Session
Microsoft is investing heavily in incorporating AI capabilities into all three categories of features in Power BI - data visualization, data preparation, and data modeling. We’ll explore these AI features, and help you get started with live examples, walk-throughs, and demonstrations.
This no-code, introductory session is for Power BI users and developers interested in leveraging the power of AI, machine learning, and data science. To get the most out of this event, we suggest those unfamiliar with Power BI to first attend one of our “Dashboard in a Day” events.
Each month we'll host a live Power BI Office Hours session with our experts, to help make sure your Power BI journey has started on the right track.
Tyler Frankenburg, Solution Consultant
Tyler is a Solution Consultant at BlueGranite with experience in the Retail, Wholesale, Travel & Tourism, and eCommerce industries. He brings specialized knowledge in data pipelines, reports, and accessible dashboard development and visualizations. Tyler is currently working towards earning his M.S. in Data Science at City University of New York.
Tim Ryder, Senior Consultant
Since 2015, Tim has been working with business leaders implementing enterprise level business intelligence solutions primarily in the education industry. After graduating from Calvin University with a degree in Public Accounting, Tim started his career focused on providing transparency and clarity of financial matters to business leaders. Tim now brings that same purpose focused approach to developing and implementing analytics solutions based on the needs of the business user.
Notice to all public sector or state-owned entity employees - Federal (including Military), State, Local, and Public Education.
This is a Microsoft partner event. Should items of value (e.g. promotional items) be disbursed to event participants, these items will be available at no charge to attendees. Please check with your ethics policies before accepting items of value.