Upgrading their data architecture to improve agility, enhance customer experience, and scale fast is the best way forward. In doing so, they must follow best practices that are critical to maximising ...

AI and multimodal data are reshaping analytics. Success requires architectural flexibility: matching tools to tasks in a ...

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 ...

Building a modern data platform requires a number of decisions – from purpose and scope to data architecture types ... To dive into the top trends and best practices for building a modern data ...

AI-powered digital twins enhance efficiency, predict outcomes and enable cost-effective system tuning by simulating real-world entities before live deployment.

Discover how NIST's NCCoE leveraged vendor collaboration to finalize the "Implementing a Zero Trust Architecture" practice ...

Data governance may best be thought of as a function that supports an organization’s overarching data management strategy. Such a framework provides your organization with a holistic approach to ...

What are basically the best practices for migrating applications to a microservice architecture? Use minimal container images to reduce the amount of data that needs to be transferred and stored.