An MCP server is the piece of software that lets an AI assistant such as Claude or ChatGPT reach into a tool your team already uses and work with what it finds there. For a BI platform, that means the assistant asks for the current numbers itself, inside the permissions the platform already enforces, instead […]
How can AI models learn from private data without compromising privacy? Chris is joined by Lorenzo Sani, Research Scientist at Flower Labs and PhD researcher at Cambridge, to explore federated learning and privacy-preserving AI. They discuss how collaborative learning can expand access to private data for LLM training, how model trajectories can help improve agentic AI systems, and the...
Where should you start with AI in corporate planning? BARC research examines priority use cases, data challenges, and the limits of automation.
As AI moves into production, organizations face questions about the quality, security and governance of unstructured data. This BARC survey examines the practices that help data and AI teams make that data discoverable and usable, and what others can learn from AI Leaders.
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In this episode, Stefano Corazza, head of AI research at Canva, joins us to explore how his team is building custom models and agents around iterative design workflows. We discuss the tradeoffs between training models from scratch and adapting open weights models, and how proprietary design data supports specialization. Stefano explains how Craft separates layout planning from pixel generation...
Representatives from Nvidia told Illinois representative Bill Foster that it would be technically possible to implement the anti-smuggling measures called for in the Chip Security Act, Foster told MIT Technology Review in an interview on Thursday, even while an industry group claimed they were “potentially infeasible.” Foster, a Democrat who serves on the Committee on…
See how agentic AI connects natural-language assistants with governed SAS Viya workflows, helping government agencies automate complex analytics while maintaining transparency, accountability and human oversight.
The post Agentic AI for government: Turning natural language into governed public sector workflows appeared first on SAS Blogs.
Procurement fraud risk rarely appears as a single red flag. More often, it emerges from a collection of small signals that only become significant when viewed together. A supplier connected to another vendor. An unusual invoicing pattern. An undisclosed relationship between an employee and a contractor. Individually, these activities may [...]
The post A modern approach to detecting...
As AI accelerates software development, the hardware that software runs on is still often built on a slower, separate track, and the gap shows up in what customers receive. In this episode, Kyle Larson, VP of AI Enablement and Cloud Services at IDEMIA, examines why hardware and software now need to be planned and delivered as one product. He covers how to decide what runs on the device...
Picture a Monday. Your AI coding agent fixes a payment bug and learns three things the hard way. On Tuesday, a new session starts for a similar bug. The agent has no idea about Monday. It reads an old runbook and makes the same mistake again. A bigger context window does not fix this. The […]
The post Can an AI Agent Inherit Its Team’s Hard-Won Lessons? A Hands-On Look at TencentDB...