I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More There is no one large language model (LLM) to rule them all, at least not ...
When overly complex operations hinder performance and progress, organizations can strategically use AI to ensure their ...
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Architecting data and AI systems that remain explainable, governable, and trusted at scale
In today’s enterprise environments, data no longer functions as a record of what has happened. It operates as a live ...
Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...
Chances are, unless you're already deep into AI programming, you've never heard of Model Context Protocol (MCP). But, trust me, you will. MCP is rapidly emerging as a foundational standard for the ...
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 ...
A Perspective suggests that “digital twins” are not simply tools for science but are an example of the integration of complexity science and data science into a new scientific field. A “digital twin” ...
The Kennedy College of Science, Richard A. Miner School of Computer & Information Sciences, invites you to attend a doctoral dissertation proposal defense by Nidhi Vakil, titled: "Foundations for ...
ISACA’s Chris Dimitriadis talks about the Cybersecurity Maturity Model Certification and his predictions for the threat landscape in 2026.
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