In a nondescript conference room, a senior data architect at a Fortune 500 retailer pulls up a dashboard that would have been ...

Jerod Johnson, senior technology evangelist, CData Software, and Phillip Miller, senior product marketing manager, AI, Progress, joined DBTA's webinar, Powering AI/ML & Analytics with Smarter Data ...

The implications for enterprise AI are significant. Until recently, most leading systems were only available through closed ...

High-performance computing means more power, heat, and volatility. Established systems are struggling to keep up.

As companies deploy agentic AI, CIOs and data leaders face a critical mandate: deliver governed, trusted data that AI systems can understand.

The distribution system is one of the main components in a a smart grid, readings are transferred from the distribution substations to the control center. Compromising system data will result in ...

Then a data-driven architecture for enhancing personalized QoE is proposed for 5G networks. Under this architecture, we specifically propose a two-step QoE modeling approach to capture the strength of ...

With GenAI and agentic AI projects increasingly moving from proof of concept to enterprise deployment, the business case for ...

Structurally, the Wrigley is a typical steel-frame Chicago high-rise of its period, with fifty caissons encased in concrete ...

He added that the data centre, which cost about $150 million, “is a significant leap in the data landscape to meet the ...

Arista Networks is thriving on AI and cloud demand, with strong margins, innovation, and market expansion offsetting risks.

Although promising in its ability to parse individual commands or generate preliminary reports, ChatGPT falls significantly ...