Building bridges to AI: Learn about NVIDIA and cognitive computing at InterConnect

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“He, too, must cross in the twilight dim;
Good friend, I am building this bridge for him.”
-Will Allen Dromgoole, 1911


On Monday, March 20, I’m presenting at InterConnect. I thought it appropriate to center the theme around “building bridges.”

Why? Because it is very evident today that we are moving into a new age of computing that includes artificial intelligence (AI) and deep learning—one that is driven by user-expected needs anticipation. We’ve all seen our internet search engines recommend better ways of searching. We’ve had our GPS devices present us with better routes. While these services are indeed useful, they are only the first few planks in the bridge to a truly cognitive computing world. Certainly IBM Watson can lay claim to setting the initial deck planks on that bridge and continues to drive AI and cognitive innovation today.

The bridge decking is an important part of the structure, but equally important are the pile, cap, bent, and girders. In fact, a bridge cannot stand without the sum of its parts.

NVIDIA is the driving force behind AI and the Intelligent Industrial Revolution. We provide many of the innovative foundational parts of the AI and cognitive computing world. Our goal is to build the strongest, longest-lasting bridge to cognitive computing possible.

The NVIDIA Tesla Accelerated Computing Platform is critical to modern data analytics, machine learning, deep learning, and cognitive workloads. We’ve spent over a decade engineering and building the Tesla platform to be more than silicon in a server. Modern computing incorporates the CUDA parallel computing programming platform, NVIDIA development modules like ComputeWorks and Deep Learning SDKs, and cutting edge Tesla GPUs with HBM2 and NVLink.

In the next few years, we’ll see new levels of performance and expectations being set by enterprise computing. The expectations for results and discovery will move drastically to real-time. Decision support will rely on “in the moment” data analysis.

Please join me at IBM InterConnect in Las Vegas, where we’ll dive deeper into the NVIDIA technologies supporting the bridge to cognitive computing and how we are partnering with IBM Cloud and Watson to make it all available as a consumable cloud service.



Michael_ONeill_NVIDIAAbout the author: Michael O’Neill is an established leader for NVIDIA. He provides specialized technical guidance and strategic thought leadership to customers on NVIDIA GRID and Tesla platforms in virtual environments. He works closely with business leaders to develop innovative solutions for graphical and compute-heavy workloads. With over 20 years of experience in planning, developing, and implementing state-of-the-art information systems, he built a significant body of work empowering people and businesses to live, work and collaborate from anywhere. His guidance has provided Fortune 500 companies and innovative startups with cloud computing solutions to help IT and service providers build private, hybrid, and public clouds to deliver high-performance, elastic, and cost-effective services.

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