Forget rearview metrics—chief data officers are using predictive analytics to steer goal-setting with real-time, ...

Key Takeaways: Planning is time-consuming but an important step. A data-driven decision-making process should be applied to the opportunities and problems most important to the organization.

Data drives digital journeys that not only delight users but substantial business outcomes. Yet behind every successful ...

Discussion surrounding agentic AI that is capable of making more autonomous decisions is rife, we need more insight into its practical application & usage.

Agencies must begin addressing cyber resilience by determining their critical systems and data points. This identification ...

In retail and ecommerce, where seamless logistics and personalized experiences are the norm, address data quality plays a ...

Building an AI company isn’t just another startup journey—it demands unique strategies, technical rigor and ethical foresight ...

But on the administrative side, things aren’t as good, so that’s what we’re going to get in order, by taking the big step to S/4Hana.” As the company becomes more data-driven, the internal ...

Researchers have developed a digital laboratory (dLab) system that fully automates the material synthesis and structural, physical property evaluation of thin-film samples. With dLab, the team can ...

The system demonstrates advanced automatic and autonomous material synthesis for data- and robot-driven materials science. The research is published in the journal Digital Discovery. Machine ...