As AI adoption accelerates, enterprises are rethinking fragmented data architectures in favor of unified intelligence operating models.

While previous embedding models were largely restricted to text, this new model natively integrates text, images, video, audio, and documents into a single numerical space — reducing latency by as muc ...

The so-called modern data stack is getting a facelift and perhaps a complete body makeover. As the point of control shifts from the database management system to the governance layer, we cite three ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Most organizations are now well into re-platforming their enterprise data ...

G-Stacker has announced the availability of its digital infrastructure platform designed to automate the development of interconnected Google properties. The software operates as a technical solution ...

Digvijay Waghela argues that the next shift is not another tool swap. It is a structural rethinking of how data is collected, stored, processed, governed, and activated across an enterprise. His new ...

The recent Databricks Data+AI Summit attracted a large audience and, like Snowflake Summit, featured a strong focus on large language models, unification and bringing AI to the data. While customers ...

Acceldata Data Observability Platform gives enterprises visibility into the reliability, performance, and usage of data platforms, helping to ensure data quality while controlling costs. You can’t ...

The modern data stack is not dead, in spite of the many conversations going around the internet to this tune. Challenging? For sure. Bloated? Yes. Out of touch with reality? Most of the time. But ...

The healthcare industry generates about 30% of the world’s data. However, historically this data has been locked in silos and healthcare organizations have failed to generate real-time operational and ...