Stream processing systems are pivotal to modern data-driven environments, enabling the continual ingestion, processing and analysis of unbounded data streams across distributed computing resources.

We live in a world in motion. Stream processing allows us to record events in the real world so that we can take action or make predictions that will drive better business outcomes. The real world is ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now When large language models (LLMs) emerged, ...

The edge is a dynamic environment where data is created by a multitude of devices—sensors, cameras, IoT devices, and more. Managing and orchestrating applications across far-flung edge locations can ...

Graphics processing units have become much more prominent in recent years because of their ability to perform the complex calculations on large data sets that underpin modern artificial intelligence ...

SAN FRANCISCO, Nov 19 (Reuters) - Microsoft has designed two additional infrastructure chips for its data centers that will help speed artificial intelligence operations and increase data security, it ...

As a product manager, I have worked closely with data engineering teams and witnessed the fantastic ways to transform raw web data into insights, products, data models, and more. Data cleaning ...

U.S. and allied ships sail in formation in the Mediterranean Sea on Nov. 3, 2023. (U.S. Navy photo) The Navy is working with the Defense Innovation Unit to use artificial intelligence and machine ...

Data mining is an analytical process designed to explore and analyze large data sets to discover meaningful patterns, correlations and insights. It involves using sophisticated data analysis tools to ...