AI

When ecommerce teams need faster time-to-market for AI-powered customer experiences, they face weeks of custom integration work that delays launches and increases security risks. Building and connecting a production-ready AI assistant typically requires custom API code for each client, container infrastructure management, and complex authentication. Amazon Bedrock AgentCore and Mistral AI Studio streamline this process. […]

When you deploy generative AI agents with Amazon Bedrock AgentCore as production API endpoints, you might want to enforce web application firewall policies, rate limiting, protection against common web threats, or audit controls via AWS WAF. AWS WAF integrates with Elastic Load Balancing Application Load Balancers (ALBs), Amazon CloudFront distributions, and Amazon API Gateway REST

As organizations expand AI adoption across their workforce, IT administrators need a scalable way to manage how AI applications are configured and used on employee devices. These applications include Claude Code, Claude Desktop, and OpenAI Codex. Users, meanwhile, can open approved applications and start working without manual setup. Jamf, trusted by more than 78,000 organizations

A new book claims that Mystery, who teaches awkward men how to hit on women, had sex and smoked weed with an AI chatbot named Miss Shira Always.

Verity Harding tells WIRED that the US government’s nationalistic attitude toward AI is evidence that a worst-case scenario is taking shape.

As part of Meta’s Muse Image model rollout, Instagram users with public accounts need to opt out to block AI generations of their content.

Joshua Achiam spent nearly nine years at OpenAI researching AI safety and made a memorable appearance in the Musk v. Altman trial.

In today’s world, artificial intelligence chatbots such as ChatGPT and Claude can perform many functions, such as composing work emails and planning travel itineraries. These chatbots are systems built around large vision-language models (VLMs): AI trained on a massive dataset that includes books, websites, code, and images.  The AI algorithms are then refined on massive

If you’ve been managing Amazon Quick legacy Topics alongside your datasets, you know the challenge: two assets that must stay perfectly synchronized, each with its own permissions, lineage, and versioning. Column synonyms drift. Calculated fields diverge. A rename in the dataset breaks the Legacy Topic silently. You can now use Amazon Quick to embed that

Business intelligence analysts routinely face the same challenge at the start of every analytics project: the data needed to answer a single business question lives across multiple tables. Sales transactions sit in one place, customer demographics and product attributes in another, while returns, forecasts, and operational metrics occupy still others. Until now, combining these tables