AI and Machine Learning (ML) have, for most of their existence, been the exclusive province of data scientists and other rarefied specialists, but that's changing. Machine Learning capabilities have come to .NET, SQL Server and Azure Synapse Analytics, and integration of Azure Machine Learning with those and other services is on the increase as well.

Is this mainstreaming good or bad? Are we ready for it? How strongly should we embrace it, and how much skepticism is in order? To get some answers, join our panel of experts across the fields of application development, data lake/data warehousing, IoT and, of course, AI and ML. Conference co-chair Andrew Brust, an independent analyst covering data, analytics, AI and BI, will moderate the discussion and bring audience questions into the mix.