Browsing: Agentic

New capabilities provide AI agents richer enterprise context while ensuring control over sensitive information

As organizations scale their use of artificial intelligence (AI) agents and tools, finding the right resource becomes the hard part. Teams build Model Context Protocol (MCP) servers, deploy agents, and create specialized tools, but without a central catalog, those resources stay siloed. Developers locate a resource, vet it, connect it, and maintain that connection manually.…

New Modeling Agent and MCP Configuration Tools in HighByte Intelligence Hub version 4.5 enable teams to contextualize industrial data faster, with natural language

It dawned on me in early March this year, on the Caribbean island of Barbados, of all places. Konrad Kording, in swimming trunks, stood in front of about 30 PIs with backgrounds mostly in neuroscience and machine learning and live-demoed Claude Code, using a projector hardly visible in the broad daylight. He asked Claude to…

The future of agentic commerce appears to be shifting at OpenAI, where the company’s Instant Checkout feature for ChatGPT is reportedly being sidelined in favor of checkout experiences through merchants that use ChatGPT apps.

Business-to-business (B2B) and business-to-consumer (B2C) ecommerce companies are at different levels when it comes to incorporating agentic artificial intelligence (AI) into their businesses global commerce practice lead at Deloitte

Panasonic Avionics Corporation provides in-flight entertainment and connectivity (IFEC) systems across a large global fleet serving hundreds of airlines and billions of passengers annually. When a system issue affects passenger experience at this scale, engineers must diagnose the root cause quickly across thousands of unique deployment configurations. Doing this manually, correlating logs, metrics, and ticketing…

Frontier large language models (LLMs) have rapidly developed from helpful coding assistants to highly capable cybersecurity systems. After several security incidents in the past few months, more oversight and a strong focus on safe testing and deployment seem needed.

Data engineering teams routinely spend weeks standing up a single new data source: writing ETL, hand-writing quality checks, updating semantic models, and validating compliance. The Agentic Data Operations Platform (ADOP) on AWS is designed to significantly accelerate that timeline. It’s a reference architecture built on Amazon Bedrock and your AI coding tool of choice. Specialized…

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