For most enterprises, artificial intelligence efforts are no longer science projects or skunkworks distractions. The technology has matured and companies are finding real value in pragmatic use cases that generate actionable insights or unlock new revenue streams. Success is possible for companies that prepare, invest, and partner with AI-fluent experts. The opportunities around AI have…
Over the past six years, NVIDIA DGX Systems have helped power artificial intelligence projects across enterprises both large and small. I recently spoke with Charlie Boyle, the Vice President and General Manager of DGX Systems at NVIDIA, about the big AI trends he has seen and what’s coming next. Q: Have you been surprised by…
Many companies that begin their AI projects in the cloud often reach a point when cost and time variables become issues. That’s typically due to the exponential growth in dataset size and complexity of AI models. “In an early phase, you might submit a job to the cloud where a training run would execute and…
Increasing margins is critical to achieving sustained success in the retail industry.To maximize margins, leaders consider how to run the store more efficiently, how to deliver the best services to customers and how to grow new services. Traditionally, they have used rear-view mirror data to help accomplish these goals—that is, examining historical data from months…
Great teams incorporate a variety of skill sets. For example, a football team consisting of 11 quarterbacks would get crushed in a game against talented linemen, running backs and receivers. It’s no different when building a team for an enterprise AI project; you can’t just throw a bunch of data scientists into a room and…
Hall of Fame CIO Larry Quinlan is recognized as one of the most successful IT leaders of all time. As global CIO at Deloitte, he led 10,000 IT professionals across 175 countries and drove significant revenue as the lead client partner for several of Deloitte’s large global clients. Boards of directors (he’s on 13 of…
Businesses are constantly evolving their use of technology, resulting in almost constant organizational change. Whenever an organization implements a new process, updates an existing process, deploys new technology, or fine-tunes services, its leaders must be mindful that even a simple change to a single process can start a domino effect, introducing issues in a range…