Most distributed caches force a choice: serialise everything as blobs and pull more data than you need or map your data into a fixed set of cached data types. This video shows how ScaleOut Active ...

Utilities are adopting advanced assessment technologies and structural modeling to extend the lifespan of poles, prioritize ...

Synthesizing tables—creating artificial datasets that closely resemble real ones—plays a crucial role in supervised machine learning (ML), with a wide range of practical applications. These include ...

Enterprise AI deployment increasingly operates under strict governance constraints, where privacy regulation, data provenance ...

The security industry has spent the last year talking about models, copilots, and agents, but a quieter shift is happening ...

Over the past decade, the spotlight in the online travel industry has largely focused on consumer-facing OTAs; yet behind ...

Depending on the industry where AI is deployed, model data drift can have alarming consequences ranging from financial to ...

Today, however, the decisive edge can be found in the ability to move, fuse, and act on data faster and more securely than any adversary. This evolution was first observed with the emergence of ...

Observability in financial systems is not just an engineering convenience. It is a regulatory necessity. When a trade fails ...

Congress MP Manickam Tagore alleged a 'hidden agenda' by the Centre in the Women's Reservation Bill's timeline, arguing it is designed to deny an OBC sub-quota by implementing it before a caste census ...

Schneider Electric executives Marc Garner and Jim Simonelli outlined how AI infrastructure is forcing a deeper rethink of ...