At the Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University, scientists, mathematicians, and software developers conduct manufacturing research, working together to gain new insights from machine, product, and manufacturing data. Manufacturers partner with the team at WZL to refine solutions before putting them into production in their own factories. Recently, WZL has been…
Enterprises driving toward data-first modernization need to determine the optimal multicloud strategy, starting with which applications and data are best suited to migrate to cloud and what should remain in the core and at the edge. A hybrid approach is clearly established as the optimal operating model of choice. A Flexera report found the shift…
After highly publicized accidents and fatalities, most municipal IT execs are waiting for autonomous vehicles to be proven safe beyond any doubt before building next-generation roadways and edge infrastructure for their cities and towns. Not Michael Sherwood, CIO of the City of Las Vegas. He is moving full steam ahead to attract more visitors and…
Due to Nigeria’s fintech boom borne out of its open banking framework, the Central Bank of Nigeria (CBN) has published a much-awaited regulation draft to govern open banking procedures. And at its core is the need to secure customer data through a robust set of requirements. The regulations streamline how entities who handle customer banking…
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…
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…