I will show demo using Loan Approval using Azure Machine Learning Studio. This demo will also use the following technologies: * Azure Machine Learning Studio * Data Science The main goal of this session is to provide basic knowledge of Azure Machine Learning Studio with demo so attendee will leave with Azure Machine Learning Studio knowledge and how to apply this in different scenarios.

The Getting started with AI & Computer Vision - A guide of obstacles & insights from the field presentation by Kristina Mishra at the Microsoft Data and AI South Florida covers the challenges and conquests of a database professional taking a deep dive into the data world of AI and Computer Vision - Topics Covered: * Artificial Intelligence * Computer Vision - Abstract: . Are you interested in the world of AI and Computer Vision, but have no idea where to start? . What even is computer vision? Find out what happens when a database professional goes off-brand and raises a hand to take a deep dive into the data world of AI and computer vision. In this session, I share the common obstacles encountered from my first projects and some insights on how to make your first project successful (and less painful).

Adobe and Microsoft have joined forces, combining Adobe's Sensei artificial intelligence (AI) with Microsoft's data to give Adobe customers more automated, intelligence-based business feedback. By plugging into Microsoft's ecosystem, Adobe can pull rich insights from Microsoft's customer relationship management (CRM) and data visualization tools, among other platforms. Adobe Sensei is now armed with a new trove of data from Microsoft Dynamics 365, Microsoft Power BI, and Microsoft Azure, from which it can draw on its algorithm-based recommendations. Both companies are also working to add Adobe Sensei to Microsoft tools; however, there is no timeline for when this reverse integration will be available. Here's an excellent example of how Adobe Sensei and Microsoft work together today: A financial services client working within Adobe Analytics can take existing Adobe data, combine it with Microsoft's data ecosystem, and then feed all of that information into Sensei.