AI has the power to transform critical business processes, but new methods will be essential to analyze and visualize data—not as a one-time event but as a continuous process. As a result, a new computing paradigm and deep learning software stack will also be required to power, predict, and act on data to accelerate this transition and produce AI enterprise applications.
Jim discusses how to apply the significant advances in GPU deep learning to perform deep learning training, develop a single AI infrastructure for your training and inference needs as you deploy AI across the industries, and implement AI software applications to increase users’ productivity. Along the way, Jim shares real-world examples of AI in action across the auto, healthcare, cyber security, and customer services industries.
This keynote is sponsored by NVIDIA.
Jim McHugh is vice president and general manager at NVIDIA. He currently leads DGX-1, the world’s first AI supercomputer in a box. Jim focuses on building a vision of organizational success and executing strategies to deliver computing solutions that benefit from GPUs in the data center. With over 25 years of experience as a marketing and business executive with startup, mid-sized, and high-profile companies, Jim has a deep knowledge and understanding of business drivers, market/customer dynamics, technology-centered products, and accelerated solutions. Previously, Jim held leadership positions with Cisco Systems, Sun Microsystems, and Apple, among others.
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