Adnan Masood, PhD
Adnan Masood, Ph.D. is a software architect, machine learning researcher, author, speaker, and Microsoft MVP for Data Platform. He works as Chief Architect of AI and Machine Learning at UST Global. UST Global is a fast-pace digital company providing Advanced Computing and Digital Innovation Services including but not limited to Advanced Analytics, BI, Information Management, IoT, Mobility, Cloud, Infrastructure Management, Legacy Modernization, and Cybersecurity, Before UST, Dr. Masood worked as a Software Architect at Green Dot Corporation, a leading prepaid financial technology institution. In the past life he served as principal engineer for an e-commerce start-up, and as a solutions architect for a leading British nonprofit organization. A strong believer in the development community, Adnan is an active member of the Open Web Application Security Project (OWASP), an organization dedicated to software security. In the .NET community, he is a cofounder and president of the Pasadena .NET Developers group, co-organizer of Tampa Bay Data Science Group, and Irvine Programmer meetup. A certified ScrumMaster, Dr. Masood also hold certifications in big data, machine learning, and systems architecture from Massachusetts Institute of Technology; Application Security certification from Stanford University, and SOA Smarts certification from Carnegie Mellon University. he is a Microsoft Certified Solutions Developer, and Sun Certified Java Developer. Dr. Masood teaches Data Science course at Park University, and has taught Windows Communication Foundation (WCF) courses at the University of California, San Diego. He is a regular speaker to various academic and technology conferences (, IEEE-HST, IASA, and DevConnections), local code camps, and user groups. He is also a volunteer STEM FLL robotics coach for middle school students.
Microsoft Cognitive Services & Bot Framework - A Lap around building Cognitive Digital Assistants with Vision and Speech
01:00 PM - 01:50 PM
Microsoft Cognitive Services are a set of APIs, SDKs and services available to developers to make their applications more intelligent, engaging and discoverable. In this hands-on session you’d learn how to easily build custom AI applications using cloud APIs. We will explore how you can easily leverage the Vision and Speech capabilities of Microsoft Cognitive Services to make your app smarter. We’ll explain key industry examples and interactive demonstrations about how systems can see people, understand emotions, hear in more natural ways.
Deep Learning with CNTK & Tensorflow for Mere Mortals
04:00 PM - 04:50 PM
The Microsoft Cognitive Toolkit—previously known as CNTK—empowers machine learning devloeprs to harness the intelligence within massive datasets through deep learning by providing uncompromised scaling, speed, and accuracy with commercial-grade quality and compatibility with the programming languages and algorithms you already use. In this session, you will explore how to get started with this production-grade, open-source, deep-learning library which embraces fully open development, is available on GitHub, and provides support for both Windows and Linux. We will review the CNTK inputs and variables, data readers, CNTK operations, layers, CNTK losses, errors, and training, training models, learning models, testing models etc. We will compare and contrast some of the features between Tensorflow and CNTK such as Speed, Accuracy, API design, Scalability, Inference, Extensibility, Built-in readers etc.