The cloud is truly becoming the “brain” of our connected planet. Users are not just running algorithms in the cloud; they’re connecting that with data from sensors from around the world. By bringing data into the cloud, they are able to integrate all of this information, apply machine learning and AI, and deliver applications that are continuously learning and evolving. Consequently, the devices and applications connected to the cloud are also learning and becoming increasingly intelligent. Join Microsoft’s Joseph Sirosh for a surprising conversation about a volunteer’s dilemma, an engineer’s ingenuity, and how AI, the cloud, data, and devices came together to help save snow leopards.
This keynote is sponsored by Microsoft.
Joseph Sirosh is the corporate vice president of the Cloud AI Platform at Microsoft, where he leads the company’s enterprise AI strategy and products such as Azure Machine Learning, Azure Cognitive Services, Azure Search, and Bot Framework. Prior to this role, he was the corporate vice president for Microsoft’s Data Platform. Joseph joined Microsoft from Amazon, where he was most recently the vice president for the Global Inventory Platform, responsible for the science and software behind Amazon’s supply chain and order fulfillment systems, as well as the central Machine Learning Group, which he built and led. Before joining Amazon, Joseph was vice president of research and development at Fair Isaac Corp., where he led R&D projects for DARPA, homeland security, and several government organizations. He is passionate about machine learning and its applications and has been active in the field since 1990. Joseph holds a PhD in computer science from the University of Texas at Austin and a BTech in computer science and engineering from the Indian Institute of Technology Chennai.
©2017, O'Reilly Media, Inc. • (800) 889-8969 or (707) 827-7019 • Monday-Friday 7:30am-5pm PT • All trademarks and registered trademarks appearing on oreilly.com are the property of their respective owners. • email@example.com