For C-level leaders worldwide, the challenge lies in making sense of the AI disruption. Many are exploring use cases while struggling to align AI with broader business goals. The biggest ‘make or ...

Meta's chief AI scientist, Yann LeCun, says open-source AI should fall under international regulation.

Wonder what is really powering your ChatGPT or Gemini chatbots? This is everything you need to know about large language ...

This TDWI Insight Accelerator considers the challenges that organizations are facing with diverse, distributed data types and explores techniques and approaches that can help data engineers overcome ...

Technical decisions that advance inference capabilities can help deliver the promise of ubiquitous, accessible AI.

Automation World’s wide-ranging discussion with CEO Caspar Herzberg, Executive Vice President Kim Custeau and Chief Product ...

In another installation of the new webinar series brought to you by DBTA and Radiant Advisors-also sponsored by Quest and TimeXtender-John O'Brien, principal advisor and CEO, Radiant Advisors, ...

However, analysts note that the real-world impact of such models will require validation beyond initial benchmark results.

The Model Context Protocol (MCP) was introduced to standardize how AI agents discover and invoke external tools and data sources. MCP is an open protocol that defines a common JSON-RPC ... The MCP ...

DE leverages Model Based Systems Engineering (MBSE) and digital models to ... Two of the main architectural concepts we established are the digital backbone and a common data model.

The Growing Challenge of AI Inference at Scale AI inference is the process of using a pre-trained machine learning model to make predictions from real-world data ... It aims to tackle common ...

In the early days, computing was characterised by proprietary silos, but it evolved through the adoption of middleware standards, unified data models ... One Data Model will be the common language ...