As power companies build hybrid projects combining solar, wind, battery storage and hydrogen assets, they face the challenge of integrating dozens of different control systems and data types from ...

To integrate operations as smoothly as possible following mergers and acquisitions (M&A) is always a challenge. Businesses want to keep revenues flowing and to cause as little disruption to customers ...

The next frontier in automotive AI is about equipping vehicles to learn, adapt and evolve through orchestrated data that ...

Uptime Institute predicts the data center industry in 2025 will face pressure over resource consumption, grid integration challenges, and AI infrastructure requirements. Data centers this year will ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more For anyone in AI, it’s no big news that ...

Strategies to optimize work and improve efficiency. Addressing the challenges of managing distributed project teams in megaprojects requires a targeted set of strategies that integrate technological ...

As the fifth flagship project (MAQC-V) of the International Massive Analysis and Quality Control (MAQC) Society (maqcsociety.org), originally known as the MicroArray and Sequencing Quality Control ...

Only about 7% of supply chains currently support real-time decision making, even though 95% require rapid reactions due to the speed of modern operations.

Data science has become an important catalyst for innovation. With this, businesses can analyze massive amounts of data to derive insights, anticipate trends and make informed choices. But data ...