There is a sense of inevitability to Intel’s involvement in the field of artificial intelligence. As the provider of the world’s most sophisticated processors and memory, storage, and networking components for systems ranging from devices to data centers (Intel Architecture), Intel is visibly investing in hardware for AI. Intel is also making investments in software for cognitive computing, machine learning, deep learning, and data science. Vin Sharma explores how Intel is investing in artificial intelligence and using open source software platforms, frameworks, and libraries, as well as the hardware that Intel offers to build open AI solutions in the autonomous driving, healthcare, and financial services industries.
This session is sponsored by Intel.
Vin Sharma is the director of machine learning solutions in the Data Center group at Intel, where he focuses on autonomous driving and automated trading. Vin has helped build data center infrastructure software platforms—most recently the Trusted Analytics Platform—and has helped drive enterprise adoption of open source software like Linux, KVM, OpenStack, Hadoop and analytics for over 20 years. Before joining Intel, Vin held various engineering and management roles at HP for 15 years, building enterprise software products based on Linux, Java, XML, and other open source software.
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