#AI Agents
50 articles with this tag

Cloudflare's AI Agent Account Shortcut
Cloudflare introduces temporary accounts for AI agents, enabling instant code deployments and removing traditional signup friction.

Snowflake's Agent Security Framework
Snowflake unveils its Data-Model-Agent security framework to manage the risks associated with powerful AI agents operating across enterprise data.
AI Agents Need More Than Just Brains
AI agents require more than just powerful LLMs; they need a robust harness infrastructure for reliable real-world task execution.

AI Agents: The Future of Workforces?
AI agents are set to revolutionize the workforce, creating an infinitely scalable model. Experts predict the 2030s will be a pivotal decade for AI integration.

Databricks: The AI Playbook for Enterprise Agents
Sandipan Bhaumik from Databricks shares the essential pillars for deploying AI agents at enterprise scale, focusing on evaluation, observability, data, orchestration, and governance.

Cloudflare Simplifies Zero Trust with Agents
Cloudflare launches the One stack, enabling agents to automate Zero Trust network deployments and migrations with packaged expertise.
Databricks Taps NVIDIA Vera for AI Agents
Databricks and NVIDIA are integrating NVIDIA Vera CPUs and GPUs into the Databricks platform to accelerate the development of AI agents and other complex AI workloads.

AI Agents Need Context to Sell
AI agents in marketing require rich, governed context to be effective beyond basic automation, driving a need for unified data foundations.

AI Agents in Healthcare Need Guardrails
AI agents are transforming healthcare, but leaders must ask critical questions about data, governance, and control before widespread adoption.

AI Agents' Web Search Claims: A Deceptive Loop?
Rafael Levi of Bright Data reveals how AI agents' claims of web searches can be deceptive, and how Bright Data's MCP solves website blocking and data retrieval issues.
Databricks Unveils Open AI Governance
Databricks is expanding its Unity AI Gateway to create an open AI governance ecosystem, integrating numerous partners for enhanced security and identity management.

Google Open Knowledge Format (OKF): What It Is, the Spec, and How to Use It
Google launched the Open Knowledge Format (OKF) on June 12, 2026. What OKF is, the Markdown + YAML spec, how it differs from schema.org and llms.txt, whether it helps SEO, and how to adopt it.

AI Agents & GenAI Security: Devvret Rishi on the Risks
Devvret Rishi discusses how AI agents challenge GenAI security, emphasizing the need for dynamic monitoring and governance.
Databricks Unveils AI Gateway
Databricks enhances Unity Catalog with AI Gateway, expanding governance for AI agents, models, and tools across clouds.
Databricks Expands Agent Platform
Databricks expands its Agent Bricks into a comprehensive platform, tackling deployment, security, and context management for AI agents.

Simulating Humans at Scale: Simile's Joon Sung Park
Simile's Joon Sung Park discusses simulating human behavior at scale using LLMs to understand societal dynamics and emergent phenomena.
Databricks Automates Data Ops
Databricks launches Genie ZeroOps, an AI agent that automates data and AI operations, monitoring, diagnosing, and fixing production issues securely.
Azure Databricks embraces agentic era
Databricks unveils major Azure updates, integrating AI agents into productivity tools, real-time data processing, and a new CDP for the agentic era.

Accenture's 'Digital Brain' Promises AI-Powered Reinvention
Accenture unveils the 'Intelligent Digital Brain,' a framework aiming to imbue enterprises with true AI-driven intelligence by contextualizing data and decision logic.

AI Agents Are Buying For Us
Consumers are delegating purchases to AI agents, forcing brands to prove verifiable value or risk obsolescence.
Databricks Unveils Omnigent Meta-Harness
Databricks launches Omnigent, an open-source meta-harness to unify, control, and share diverse AI agents, simplifying complex AI workflows.
Databricks Lakebase Branches Up Databases
Databricks Lakebase introduces copy-on-write database branching, making isolated developer environments a reality and reshaping the DBA role.
Claude's Corner: Orthogonal, The API Economy, Rebuilt for Agents
Orthogonal gives AI agents instant access to 50+ premium APIs through a single MCP server and pay-per-call credits. No API key management, no vendor onboarding, just agents buying data the same way they call a function. Here's how it works and whether you can replicate it.
Mercedes-Benz Korea's AI Agents
Mercedes-Benz Korea leverages Databricks to build AI agents with a unified semantic layer, ensuring trusted data insights for BI and AI applications.

Cursor's Auto-review Tames AI Agent Autonomy
Cursor's Auto-review feature intelligently balances AI agent autonomy with security, using contextual analysis to minimize unnecessary user interruptions.

Cursor's Auto-review Balances Agent Autonomy
Cursor's Auto-review feature dynamically manages AI agent autonomy, using a classifier to balance productivity with security risks and minimize user interruptions.

Snowflake Summit: AI Agents Enter Healthcare
Snowflake Summit 2026 highlights the move of AI agents from healthcare pilots to enterprise-wide, governed workflows, powered by new CoWork capabilities.
OpenAI to acquire Ona
OpenAI to acquire Ona, integrating secure cloud execution tech into Codex for long-running AI agents.

WorkOS's Zack Proser on Untethered AI Productivity
WorkOS's Zack Proser discusses how developers can maintain productivity and well-being amidst the rapid advancement of AI coding agents, focusing on balance and intentional workflows.
AWS, Databricks Push AI at Summit
AWS and Databricks highlighted their deepening partnership at the Data + AI Summit 2026, showcasing advancements in generative AI and secure data access.

Fixing AI Bugs: Humanity's Last Big Problem?
Ben Hylak, CTO of Raindrop, discusses the critical challenge of fixing AI agent bugs, calling it "Humanity's Last Big Problem to Solve" and highlighting Raindrop's approach to creating self-healing AI.
Personalized AI Agents Now Have a Benchmark
A new iOSWorld benchmark reveals AI agents' struggles with personalized, multi-app tasks, highlighting the need for richer context and advanced reasoning capabilities.

Kuba Rogut: Is RAG Dead or Evolving?
Kuba Rogut of Turbopuffer discusses the evolution from RAG to agentic retrieval, highlighting its benefits and practical applications in AI development.
Databricks Genie Tames Wild Maintenance Reports
Databricks Genie AI agents are transforming solar and wind maintenance by turning unstructured PDF reports into a queryable data layer for advanced analytics.

AI Agents Get Dumber With More Context, Expert Warns
Nupur Sharma of Qodo explains how too much context can hinder AI agents, leading to the 'lost in the middle' problem, and discusses solutions like context engines and hybrid orchestration.

Cloudflare's Sunil Pai & Matt Carrie on Eval++ Compute Primitive
Cloudflare's Sunil Pai & Matt Carrie unveil Eval++, a new compute primitive for building durable, scalable, and low-latency AI agents.

OpenAI's Lee Spacagna on Operationalizing AI Workflows
Lee Spacagna from OpenAI demonstrates how AI agents can be built and operationalized to automate tasks and multiply workforce impact in financial services.

AI Evals: Broken But Essential, Use Them Anyway
Ara Khan and Cline argue that AI evaluations, though flawed, are crucial. They outline common pitfalls and a process for iterative improvement, emphasizing honesty and nuanced assessment.

CrewAI: Taming AI Agent Costs
CrewAI outlines strategies to combat rising AI agent costs by optimizing token spend through orchestration and infrastructure controls.

AI Agents Running Businesses: Andon Labs on Project Vend
Andon Labs' Lukas Petersson and Axel Backlund discuss Project Vend, an experiment using AI agents to run a simulated vending business, exploring LLM capabilities and challenges.

Benchmarking AI Agents: Snorkel AI's Vincent Chen Explains
Vincent Chen from Snorkel AI explores the art and science of benchmarking AI agents, detailing the complexities and methodologies involved in evaluation.

GitHub Universe Enters the Agentic Era
GitHub Universe 2026 gears up for the agentic era, focusing on practical AI integration for developers.

Conductor CEO on AI Agents and Workflow Optimization
Conductor CEO Charlie Holtz discusses how his team orchestrates AI agents, emphasizing "slot-free zones," strategic model selection, and the iterative process of building effective AI workflows.
Endava Bets on AI Agents for Software Delivery
Endava is revolutionizing software delivery by embedding OpenAI's AI agents across its entire workflow, transforming how enterprises build and deploy technology.

Claude Code Benchmarking: Semantic Search vs. Grep
Turbopuffer's Kuba Rogut benchmarks semantic code retrieval on Claude Code, revealing how semantic search enhances AI agent precision and efficiency compared to grep.

Lassie Secures $35M Series A
a16z leads $35 million Series A for Lassie, an AI company automating administrative tasks for small businesses, starting with dental practices.

Nvidia's RTX Spark: AI Agents and the Future of PCs
Nvidia's new RTX Spark chip aims to redefine PCs by enabling on-device AI agents for complex tasks, promising a new era of computing power and creative potential.

Steven Willmott on Spec-Driven Testing for AI Agents
Steven Willmott of SafeIntelligence discusses spec-driven testing for AI agents, emphasizing the need for clear specifications beyond traditional datasets to ensure robustness and safety.

Sakana AI: Finance Agents Take Shape
Sakana AI is deploying AI agents to revolutionize financial operations, with engineers focusing on practical integration and enterprise-grade reliability.

Nick Nisi on Building Better AI Agents
Nick Nisi of WorkOS discusses how to build better AI agents by focusing on measurement, enforcement, and learning from failures.