You can deploy AI/ML solutions in multiple places: IoT devices, at the cloud edge, and in cloud API endpoints, among other locations. In this session, learn the options available in Azure Data Platform services and how they can improve transactional systems in the back end. We will also walk through some business intelligence (BI) use cases. Finally, we’ll look into Azure SQL DB and Synapse Analytics and the opportunities to deploy AI in these services.
With over 30 years in the computing arena, Armando has been focused on data platform solutions around Microsoft Azure and helped many companies to migrate their systems to the cloud for the past 4 years .
Armando has a passion for teaching and community engagement, and has been certified as a Microsoft Trainer for over 20 years. He has been involved in presenting and helping other professionals better use and take advantage of Microsoft's data solutions.
Starting as a developer back in 1984 programming for Z-80 processors, COBOL for IBM/360 and BASIC for TRS/80 at age of 13, Armando has helped companies in multiple countries in many business areas to design and deploy their computing solutions.
Achieving his first Microsoft certification in 1996 as a Visual Basic 4.0 developer, he was introduced to SQL Server 6.5 and 7.0 in 1998 and decided to focus his career around Microsoft's data platform. He has certified in every release of the SQL echo system products for the past 20 years.