Cloud bills rising? Here's how AI-powered rightsizing, predictive autoscaling and real-time anomaly detection can lower spend ...

Venkata Surya Bhavana Harish Gollavilli, is a technology leader and strategist, currently serving as a Software Development ...

Context engineering is reshaping modern AI by grounding systems in relevant data and enabling more accurate, trustworthy agentic applications.

As AI moves to operational reality, PLM companies are prioritizing faster decisions and agentic intelligence integration over ...

In today’s fast-paced electronics design automation (EDA) environment, effective data management has become essential. Growing design complexity, distributed teams, and the accelerating adoption of AI ...

Mukul Garg is the Head of Support Engineering at PubNub, which powers apps for virtual work, play, learning and health. In my journey through data engineering, one of the most remarkable shifts I’ve ...

Though the AI era conjures a futuristic, tech-advanced image of the present, AI fundamentally depends on the same data standards that have been around forever. These data standards—such as being clean ...

In the rapidly evolving landscape of modern manufacturing and engineering, a new technology is emerging as a crucial enabler-Data-Model Fusion (DMF). A recent review paper published in Engineering ...

The organizers of the NIGERIA Technology Awards (NiTA) are pleased to announce Chukwuebuka Akwiwu-Uzoma as the winner of ...

"Range anxiety" remains one of the major issues of electric vehicles (EVs). Most of the existing range prediction ...

Model-Driven Security Engineering for Data Systems represents a structured methodology that integrates security into the early stages of system and database development. This approach leverages ...