Developing and deploying AI solutions on the cloud using Azure ML and Team Data Science Process (TDSP)

In the Cloud AI Platform team within Microsoft AI & R, we’re creating tools, data platforms and processes for efficiently developing and deploying AI solutions on the cloud. In this session, we are going to discuss and demonstrate how one can use such tools, platforms and processes. Examples will show the use of structured and unstructured data sets (natural language processing), and traditional machine learning as well as deep learning approaches.

Debraj GuhaThakurta is a Senior Data Scientist Lead in Microsoft’s AI & Research. His effort focusses on the use of different platforms and processes (such as Microsoft’s Azure ML, Cortana Suite, Cognitive Services, ML Server, SQL Server, Spark, Team Data Science Process), for creating scalable and operationalized AI solutions. Debraj has extensive industry experience in machine learning applications in biopharma and forecasting domains. He has a Ph.D. in chemistry & biophysics, and post-doctoral research experience in machine learning applications in genomics. He has published more than 25 peer-reviewed papers, book-chapters and patents.