Faced with rising customer expectations and operational complexity, warehouse operators must meet increasingly aggressive shipping deadlines and swiftly adapt to changing requirements while managing ...

It does a better job of using data and forecasts to make decisions. by Narendra Agrawal, Morris A. Cohen, Rohan Deshpande and Vinayak Deshpande The Covid-19 pandemic, the Russia-Ukraine conflict, ...

Clinical trials have become increasingly expensive, time-consuming, and complex, leading sponsors to look for more efficient ways to conduct their business. Risk-based quality management (RBQM) is ...

A predictive modeling framework integrating machine learning with real-time trading strategies generates over $500,000 documented profitability ...

Overuse of employee-monitoring tools can lead to serious outcomes, including mistrust, privacy concerns, low morale, and an ...

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...

As organizations increasingly rely on digital infrastructure to manage sensitive information, understanding how DSPM integrates with broader risk management and compliance strategies becomes essential ...

Venafi, the inventor of machine identity management, is introducing Venafi Athena, the new underpinning AI technology for the Venafi Control Plane—made possible only by Venafi's modern ...

Data science and machine learning technologies continue to rapidly evolve, providing innovative ways for businesses to leverage their data assets and automate data-focused processes. Here are 10 ...

For years, we believed the Himalayas were a climatic sanctuary—untouched, pristine, and resilient to the turbulence of ...