Using data to make business decisions is no longer a luxury; it’s an expectation. For companies looking to grow and gain a ...

AI platform partners with businesses across Hawaii, New York, and California to address $2.6 trillion productivity gap; ...

As AI begins to garner greater traction across financial markets, industry experts from Janus Henderson, Tradeweb, ...

AIOps changes this by applying machine learning and advanced analytics. Consequently, the managed NOCs gain context, ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

NYU Langone’s Section of Digitally Enabled Care team brings together the disciplines of behavioral economics, public health, ...

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

The achievement was made by uncovering and activating capacity that had always been there: Staff just couldn't see it until they implemented consistent processes and system-wide analytics.

Digital condition monitoring is transforming hydropower O&M with AI-driven diagnostics, hybrid architectures, and predictive ...

MaintainX reports a rise in predictive maintenance adoption and AI usage, though challenges like aging equipment and cost pressures persist.