- Data-driven artificial intelligence can future-proof your business
- The success of AI hinges on the ability to readily access, analyze, and act upon your data
AI technology is among the most powerful, underused, and often misunderstood forces in this age of digital transformation. But the time has come to wrap our arms around it, redefine it, and discover its full potential for driving better customer experiences and business outcomes.
Perhaps no one is a better example of this than Jim McHugh. As vice president and general manager of deep learning systems at NVIDIA, Jim has been a driving force in the advancement and application of AI technologies. He is enabling fellow Data Visionaries in virtually all industries to create new touchpoints, reinvent customer experiences, drive business value, and even change the world.
“When you unleash the creative abilities of a data scientist you see amazing, amazing solutions,” McHugh said.
The largest robot we use on a daily basis is actually our car. We could drive for a long time and never really create all the different opportunities required to train the car to drive by itself. But with AI, we can train based on simulation data to the point where it will operate completely autonomously.
In the world of agriculture, machinery can literally become data-driven. A farmer can remotely send a tractor over their crops and it will tell them: this is a weed, this plant needs water, this plant is kind of sick and you should extract it.
“Data is actually allowing us to be superhuman in what we’re trying to accomplish,” McHugh shared. “Tell me an industry where there’s a lot of data, and we’ll come in and revolutionize it.”
Although many industries are keen to leverage AI platforms, most don’t have enough control over their distributed data stores to ensure that complete, current, and accessible data is available for their AI projects. Success with AI depends on a business’s approach to data. To be effective in today’s AI use cases as well as tomorrow’s, organizations must achieve visibility into and control of their data pipeline, from edge to core to cloud.
“If AI is the rocket engine, then data is the fuel,” said Deepth Dinesan of NetApp.
Data is the key for value creation for almost every business and organization. But a company doesn’t get to the winner’s circle by simply having the most data. The winner is the one that efficiently translates all those 1s and 0s into relevant insights and effective actions … at scale.
That’s why NetApp and NVIDIA have joined forces to create a new, proven AI architecture that delivers accelerated access to data at the speed and scale that AI demands. When the data authority for hybrid cloud teams up with the leader in compute for AI, Data Visionaries win.
NVIDIA awakened the world to the power of computer graphics when it invented the graphics processing unit (GPU) in 1999. Since then, it has consistently set new standards in visual computing with breathtaking, interactive graphics available on devices ranging from portable media players to notebooks to workstations. NVIDIA’s expertise in programmable GPUs has led to breakthroughs in parallel processing, which have made supercomputing inexpensive and widely accessible.