Traditional rule-based systems, once sufficient for detecting simple patterns of fraud, have been overwhelmed by the scale, ...
Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...
At the federal level, 2025 began quietly on the policy front in terms of interoperability and data standards work. As the new ...
Pinecone recently announced the public preview of Dedicated Read Nodes (DRN), a new capacity mode for its vector database ...
This year not only stretched our industry, but exposed our fault lines.
The 15th iteration of the UK government’s flagship cloud computing procurement framework is due to go live in 2026, and looks ...
Kubernetes 1.35, dubbed 'Treenetes,' delivers in-place pod resource adjustments, a capability that benefits AI training ...
NobodyWho’s SLM tech promises privacy, efficiency, and climate-aligned AI that runs where the data lives.
Telcos have access to huge amounts of data, which represents a big opportunity when it comes to AI. But how should they ...
Nemotron-3 Nano (available now): A highly efficient and accurate model. Though it’s a 30 billion-parameter model, only 3 ...
AI can supercharge work, but without guardrails it can mislead fast — so humans, governance and smart frameworks still need ...
Invent 2025 signals the shift from AI experimentation to AI architecture. Seven insights for business leaders navigating ...
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