Many organizations today are looking to modernize their data architecture as a foundation to fully leverage AI and enable digital transformation. Consulting firm McKinsey Digital notes that many ...

ML and DL (deep learning) algorithms are important in helping organisations learn from sourced data, in structured and ...

A headless data architecture means no longer having to coordinate multiple copies of data and being free to use whatever processing or query engine is most suitable for the job. Here’s how it works.

In a world where digital transformation is accelerating at an unprecedented pace, AI-driven data analytics has become the cornerstone of both cybersecurity and public safety innovation. As ...

TiDB is a prime example of an intrinsically scalable and reliable distributed SQL database architecture. Here’s how it works. In the good old days, databases had a relatively simple job ...

Chitnis notes that achieving such results requires ... and demand forecasting using deep learning—all riding on top of modern data architectures. Such initiatives exemplify advanced analytics ...

Data protection and cyber recovery solutions are key components of federal zero-trust security architectures, particularly for civilian agencies with public-facing networks. Multifactor authentication ...