TECH BUYER Apr 2019 - IDC Perspective - Doc # US45012817
GTC 2019: Building Automation Systems for the Future with AI and Deep Learning
By: David SchubmehlResearch Director, Cognitive/Artificial Intelligence Systems, Matt ArcaroResearch Manager, Next Generation Automotive, Mohamed HefnyProgram Manager, Virtualization, Systems & Infrastructure Solutions, CEMA, Shannon KalvarResearch Manager , IT Service Management and Client Virtualization, Christopher Lee MarshallAssociate Vice President, Mario MoralesProgram Vice President, Enabling Technologies and Semiconductors, Shane RauResearch Vice President, Computing Semiconductors, Peter RuttenResearch Director, Infrastructure Systems, Platforms and Technologies Group, John SantagateResearch Director, Service Robots, Mutaz ShegewiResearch Director, Provider IT Transformation Strategies, Hiroshi ShibutaniSenior Market Analyst, PC, Mobile & Client Solution, IDC Japan
This IDC Perspective examines NVIDIA's 2019 GPU Technology Conference (GTC 2019) and the continued expansion of accelerated computing into deep learning, robotics, autonomous vehicles, AI and many other emerging disciplines.
According to Dave Schubmehl, research director for AI Software Platforms at IDC, "This year's GTC saw AI, deep learning, GPUs, and accelerated computing moving into the mainstream of information technology. Organizations are increasingly focusing on applications and solutions involving AI and deep learning using GPUs in retail, marketing, manufacturing, healthcare, and many other disciplines."
Artificial Intelligence Software , Core and Edge Computing Platforms , Enabling Technologies: Processors and Architectures , IDC Health Insights: Provider IT Transformation Strategies , Next-Generation Automotive Strategies , Robotics: Commercial Service Robots