All AI news
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Building pay-per-intelligence for AI agents: How Ampersend uses Amazon Bedrock AgentCore Payments
Ampersend is launching a pay-per-intelligence model for AI agents using Amazon Bedrock AgentCore Payments. This change allows developers to monetize AI capabilities based on usage, making it easier to integrate intelligent features into applications.
How we built an internal data analytics agent
GitHub just developed an internal data analytics agent to streamline data insights. This agent automates data analysis tasks, making it easier for teams to access and interpret data quickly.
Introducing Web Search on Amazon Bedrock AgentCore
Amazon just introduced web search capabilities on its Bedrock AgentCore. This allows developers to create more powerful AI agents that can pull in real-time information from the web for enhanced task execution.
Accelerate campaign workflow with insights from Adobe Marketing Agent for Amazon Quick
Adobe just launched the Marketing Agent for Amazon Quick. This tool streamlines campaign workflows by providing actionable insights, making it easier for marketers to optimize their strategies.
MosaicLeaks: Can your research agent keep a secret?
Hugging Face just introduced MosaicLeaks, a research agent designed to maintain confidentiality in sensitive data handling. This tool helps users manage and protect their research information while collaborating with AI.
Google Deepmind treats its own AI agents like rogue employees with office keys
Google DeepMind is managing its AI agents as if they are rogue employees with office keys. This approach aims to enhance control and safety in how these agents operate in real-world scenarios.

Get back hours every day with autonomous agents in Amazon Quick
Amazon just introduced autonomous agents in Quick, designed to automate repetitive tasks. Users can save hours daily as these agents handle workflows without manual input.
Databricks and NVIDIA: Building for the Agentic Era
Databricks and NVIDIA are collaborating to enhance AI capabilities for agentic systems. This partnership aims to streamline the development of autonomous AI applications, making it easier for businesses to implement advanced AI solutions.
AI coding agents taught robots how to install GPUs and cut zip ties
AI coding agents just taught robots how to install GPUs and cut zip ties. This means robots can now perform specific tasks autonomously, enhancing their utility in various environments.
Introducing the Agentic CDP: A New Species of CDP for a New Era of Agents
Databricks just launched the Agentic CDP, a new customer data platform designed for the era of AI agents. This platform aims to streamline data management and enhance the capabilities of autonomous systems in handling customer interactions.
Safeguard your agentic AI applications with the Amazon Bedrock Guardrails InvokeGuardrailChecks API
AWS just launched the InvokeGuardrailChecks API to enhance safety for agentic AI applications. This feature helps developers implement guardrails, ensuring their AI systems operate within safe boundaries.
Hands Free, AIs Forward: NVIDIA XR AI Brings Agents to AR Glasses
NVIDIA just introduced XR AI for AR glasses, integrating AI agents to enhance user interaction. This means users can now engage with their environment more intuitively through voice commands and AI assistance.
Unlocking UK house-building with AI-accelerated planning
Google DeepMind is using AI to streamline house-building planning in the UK. This innovation aims to speed up the approval process, making it easier to address housing shortages.
Introducing OpenSharing: the Next Evolution of Delta Sharing for the Agentic Era
Databricks just launched OpenSharing, an evolution of Delta Sharing designed for agentic systems. This update enhances data sharing capabilities, making it easier for AI agents to access and utilize data across different platforms.
Introducing Genie ZeroOps: Put your data and AI operations on autopilot
Databricks just launched Genie ZeroOps to automate data and AI operations. This means users can streamline workflows and reduce manual intervention in managing their AI systems.
Lakeflow: A new era of agentic data engineering
Databricks just launched Lakeflow, a new platform for agentic data engineering. It enables users to automate data workflows and manage data pipelines more efficiently using AI agents.
Introducing Genie One, Genie Agents, and Genie Ontology
Databricks just launched Genie One and Genie Agents to streamline data workflows. These tools help users automate tasks and manage data more efficiently, enhancing productivity across projects.
Unifying Data and Governance in the Agentic Era: What’s New with Azure Databricks
Azure Databricks just introduced new features to unify data and governance for AI agents. This update streamlines how organizations manage data across their AI workflows, making it easier to ensure compliance and efficiency.
Announcing Lakebase Search: agent-native retrieval built into Lakebase Postgres
Databricks just launched Lakebase Search, an agent-native retrieval feature integrated into Lakebase Postgres. This allows AI agents to efficiently access and retrieve data directly from the database, streamlining workflows for users.
Introducing CustomerLake: The Agentic CDP embedded in Databricks
Databricks just launched CustomerLake, an agentic Customer Data Platform (CDP) embedded within their platform. This allows businesses to automate data handling and insights generation, streamlining customer engagement processes.