Enterprise AI hinges on high-accuracy outputs, requiring better data context, unified architectures, and rigorous measurement frameworks, says Bavesh Patel, senior vice president at Databricks, and Rajan Padmanabhan, unit technology officer at Infosys. Artificial intelligence may be dominating boardroom agendas, but many enterprises are discovering that the biggest obstacle to meaningful adoption is the state of their data. While consumer-facing AI tools have dazzled users with speed and ease, enterprise leaders are discovering that deploying AI at scale requires something far less glamorous but far more consequential: data infrastructure that is unified, governed, and fit for purpose. That gap between AI ambition and enterprise readiness is becoming one of the defining challenges of this next phase of digital transformation. As Bavesh Patel, senior vice president of Databricks, puts it, "the quality of that AI and how effective that AI is, is really dependent on information in your ...

Robert F. Kennedy Jr. is an AI guy. Last week, during a stop in Nashville on his Take Back Your Health tour, the Health and Human Services secretary brought up the technology between condemning ultra-processed foods and urging Americans to eat protein. "My agency is now leading the federal government in driving AI into all of our activities," he declared. An army of bots, Kennedy said, will transform medicine, eliminate fraud, and put a virtual doctor in everyone's pocket. RFK Jr. has talked up the promise of infusing his department with AI for months.

AI models are increasingly prevalent in high-stakes environments, necessitating1 thorough assessment oftheir capabilities and risks.

From jogging and cycling to multi-tasking or puttering around the house, open earbuds are an excellent way to jam out in the real world. If you've done any wireless earbuds shopping lately, you've likely noticed a new design category cropping up everywhere. They're called open earbuds (or open-ear buds, depending on the brand), and just about every audio brand has a pair (or three). They come in a slew of styles, but most either loop around your ears like older Beats buds, or clip on like funky-futuristic earrings. Whatever the style, they're designed to deliver satisfying sound while keeping your ear canals open to the sounds of the world around you.

However, the landscape of6 synthetic data research has been fragmented due to the large number of data7 modalities(e.g.,tabulardata,timeseriesdata,images,etc.) andvarioususecases8 (e.g., privacy, fairness, data augmentation, etc.). Beyond benchmarking, it also offers a single access point to a diverse range of15 cutting-edge data generators.