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Databricks introduces a secure and scalable Model Context Protocol (MCP) ecosystem with Agent Bricks, enabling enterprises to discover, govern, and build AI agents that seamlessly integrate proprietary and third-party data for real-time, production-ready insights and actions.

Leveraging Ray and Databricks to combine data and task parallelism significantly accelerates large-scale AI model training and tuning, enabling faster, more accurate retail sales forecasting with efficient resource utilization.

Leveraging multimodal Retrieval-Augmented Generation with Databricks, Unity Catalog, and vector search, this post demonstrates scalable, secure creation of customized ad images tailored to audience segments through integrated image retrieval and generative AI.

AI-driven models leveraging satellite data, graph neural networks, and bioacoustics are revolutionizing ecosystem mapping, species distribution, and deforestation risk prediction to support global conservation efforts.

Over 1 million business customers globally are leveraging OpenAI's advanced AI tools and integrations to accelerate workflows, enhance customer experiences, and drive measurable ROI across diverse industries.

Chime leverages AI-driven agents and custom GPT models to transform marketing operations through real-time optimization, personalized content creation, and data-driven decision-making, empowering CMOs to drive efficient, scalable growth in the new era of marketing.

CRED leverages OpenAI-powered AI tools like Cleo, Thea, and Stark to enhance customer support, streamline operations, and deliver a premium, concierge-level experience with improved efficiency and accuracy.

MIT researchers developed a novel AI and computer vision hybrid system that rapidly creates accurate 3D maps from numerous images to aid robots in navigating large, complex environments in real-time without requiring calibrated cameras.

Leveraging Cursor AI and MCP Server, Salesforce's Mobile Performance Engineering team automated the migration of 240 Splunk queries to Tableau dashboards, reducing migration time by 75% while overcoming complex time series translation and schema mapping challenges through iterative prompt engineering and strategic human validation.

A comprehensive guide to building flexible and scalable multi-agent AI systems using Google's Agent Development Kit (ADK), covering agent types, hierarchical structures, workflow orchestration, and communication methods.

Google Threat Intelligence reveals how government-backed and cybercriminal threat actors are increasingly integrating AI tools such as large language models across the entire attack lifecycle, prompting proactive defense and disruption measures to safeguard security.

Google Threat Intelligence Group reports on evolving AI-enabled malware and threat actor tactics leveraging generative AI across the full cyber attack lifecycle, highlighting novel capabilities, social engineering, underground AI tool markets, and responsible AI defense strategies.