The demand on businesses to act instantaneously with the data has never been greater in the current digital first economy.

Arun Ayilliath Keezhadath, with nearly two decades of experience, transforms cloud data challenges into scalable, ...

These student researchers tackled a key challenge in polar research by creating a communication system that could transform ...

Companies typically face challenges in recruiting candidates who are skilled in AI, machine learning and generative ...

Gnanendra M Reddy excels in cloud, DevOps, and cybersecurity, turning enterprise challenges into scalable, compliant, and ...

The challenge lies not in the accumulation of data, but in the effective extraction of actionable intelligence. Artificial ...

From reimagining AI data centers to modernizing and securing the electric grid, Carnegie Mellon University researchers are ...

As organizations increasingly rely on data-driven decision-making, the need for robust and efficient data infrastructure has become paramount. In industries such as pharmaceutical manufacturing and ...

Building modularity early via microservices or well-defined domains within a monolith supports scalability. For fintechs ...

“Deep-tech roles like AI, data science, and platform engineering face over 40% talent shortfalls, slowing hiring cycles and limiting team scalability,” said Kapil Joshi, CEO, IT staffing, Quess Corp.

Imagine a future where artificial intelligence quietly shoulders the drudgery of software development: refactoring tangled ...

When asked to think of a chemical reaction, you might picture bubbling liquids in a beaker, or maybe applying heat to a ...