Artificial Intelligence for the pragmatic developer w/ Zoiner Tejada MVP

Abstract: As a developer, you’re probably thinking AI is something that only data scientists work on, and unless you want to go back to an get a PhD in statistics, it’s not for you. I’m happy to prove you wrong. If you are a developer building real-world solutions you are already 2/3rds of the way towards leveraging the tremendous improvements in machine learning and artificial intelligence that have occurred in recent years. In this pragmatic session, we look at how you the developer can leverage Azure Machine Learning (including the newly announced Experimentation and Model Management Services) and the Cognitive Services into your overall Azure solution architectures. Machine Learning usually does not stand by itself in the solution…whether you are using as Azure ML as the foundation for a data mining effort, using it as web service to inform automated processes or simply employing ML directly to realize new, untapped values in your data, Azure ML sits as an important and integrated component of your solution architecture. New services such as those provided with Microsoft Cognitive Services speed your development time by providing you with sophisticated, fully trained models for performing speech, text, vision and recommendation functions with the ease of integrating a REST API can yield richer and deeper interactive user experiences than was possible without having a specialized team with huge development budgets. Learn to bring intelligence to your solutions by attending this session!

Speaker's Bio: Zoiner Tejada has more than 18 years of experience in the software industry as a software architect, CTO, and start-up CEO, with particular expertise in cloud computing, big data, analytics, and machine learning. He was among the first to receive a Microsoft Azure MVP (“Most Valuable Professional”) designation and has since been awarded the MVP for six consecutive years, and most recently a dual MVP award for Azure and Data Platform. Additionally, he was recently recognized by Microsoft as a Microsoft Regional Director.

Zoiner is the author of Mastering Azure Analytics published by O'Reilly (which covers a broad range of analytics solutions from real-time processing with Storm, to Interactive/Batch processing with Spark, the application of Machine Learning and many other Data/Analytics related Azure services). He is also co-author of Exam Ref 70-532: Programming Microsoft’s Clouds (the official exam study guide for developers seeking Azure certification), co-author of Developing Microsoft Azure Solutions, and creator of the “Google Analytics Fundamentals” course on Pluralsight.com. He received his BS in computer science from Stanford University.