A recent special report article series provides insights on considerations for future-proofing high-density AI data centers.
Explore the evolution of data engineering, focusing on agentic systems and AI pipelines for enhanced analytics and enterprise ...
AIM Media House brings the Data Engineering Summit 2026 to Bengaluru, uniting engineers and leaders to explore the frameworks ...
Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. As a data engineering leader with over 15 years of experience designing and deploying ...
At NBCUniversal, Yerrasani led a major platform unification effort that extended Peacock’s Streaming Data Platform and ...
The rise of machine learning and automation, coupled with an increased availability of data, has led to a renaissance in data analytics. Bloomberg’s rapidly growing Data Services Engineering team is ...
Context engineering is reshaping modern AI by grounding systems in relevant data and enabling more accurate, trustworthy ...
A detailed look at predictive maintenance engineering, mechanical system reliability, and Rutvikkumar Patel’s role in ...
Rowan engineering experts are developing AI tools to improve NJ’s bridge asset management strategies
Repairing bridges is much like a root canal–painful but sometimes necessary, says Islam Mantawy, Ph.D., an assistant ...
Bloomberg’s Data Technologies Engineering team is responsible for the data collection systems that onboard all of the referential data that drive the company’s applications and enterprise solutions.
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback