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Hand-picked stories worth reading right now151 articles found · page 1 of 2
Do more with less: How GKE can reduce your cost per agent by 75%
In today's agentic era, modern cloud applications are evolving from a set of passive tools to fleets of autonomous digital workers that reason, plan, and take action across a wide range of tasks. For platform engineering teams designing these environments, the simplest approach is often to deploy an agent on to an open-source framework like OpenClaw and Hermes running on a virtual machine (VM). But as those workloads move into production and scale to support additional users or use cases, teams quickly hit a critical challenge: AI agents tend to operate in bursts; for a while they actively pro
Automate your agent development lifecycle using any coding agent
Welcome to our latest Gemini Enterprise Agent Platform deep dive, a practical walkthrough where we'll teach you how to build real-world, production-ready agents starting from step 1. If you haven't already, tune into our livestream to guide you through the entire agentic lifecycle and read more in our announcement blog. Most AI projects get stuck in prototype mode. Moving from a local script to a secure production agent usually requires jumping between half a dozen tools, consoles, IAM dashboards, and deployment platforms. Every context switch adds friction, and momentum fades away. It doesn't
SnapLogic transforms SnapGPT into a high-powered agentic assistant for the entire integration lifecycle
Enterprise data integration and automation firm SnapLogic Inc. today announced a significant update to SnapGPT, the company's artificial intelligence copilot for enterprise data automation, transforming it into an agentic assistant. Launched in 2023, SnapGPT provides assistance for users building data automation and creating enterprise-ready integrations. The new SnapGPT updates shift it from a copilot to [...] The post SnapLogic transforms SnapGPT into a high-powered agentic assistant for the entire integration lifecycle appeared first on SiliconANGLE.
RAG vs. Agentic RAG: Architecture, Tradeoffs, and How to Choose
Classic RAG hits a wall on multi-hop and ambiguous queries. Learn how agentic RAG turns retrieval into a control loop, and when the tradeoffs are worth it.
AI Data Pipelines: Architecture, Stages, and Orchestration
Understand AI data pipeline architecture, from ingestion and feature engineering to model training and orchestration. See where n8n fits in the stack.
Perplexity brings its Personal Computer AI agent to Windows
Perplexity AI Inc. today released a Windows version of Personal Computer, expanding its agentic automation software beyond the original Macintosh platform and making it available to more than 1 billion Windows devices. First released in April, Personal Computer software acts as a general-purpose digital worker that can access authorized files and applications on a user's [...] The post Perplexity brings its Personal Computer AI agent to Windows appeared first on SiliconANGLE.
How Gemini Flash agents are helping a Michigan dairy farmer
See how Paul Windemuller, a Michigan dairy farmer, is changing the way he works by using AI agents built with Gemini 3.6 Flash.
Yugabyte targets the missing memory and knowledge layer for enterprise AI agents
Enterprise investment in agentic artificial intelligence is accelerating, but the infrastructure supporting those systems is still catching up. Organizations are moving agents into customer support, software development, sales operations and other production workflows. Yet many of those agents remain stateless, unable to retain durable context, share knowledge with other agents or explain how previous decisions [...] The post Yugabyte targets the missing memory and knowledge layer for enterprise AI agents appeared first on SiliconANGLE.
Building the enterprise environment for agentic AI
For the enterprise, the promise of agentic AI is much more than just a better chatbot. It is software agents that execute business tasks end-to-end across people, business workflows, data, and systems. The platform best-suited to run agents is built with proper CPU capacity, resilient data access, policy-aware tool use, observability, memory management, and the...
The Biggest AI Talent Challenge Is Resilience, Not Speed
Engineering leaders should build highly adaptable, vendor-agnostic infrastructure instead of relying on expensive, unpredictable proprietary hyperscalers, advises guest columnist Sumeet Vaidya, who says the foundational flexibility allows enterprises to safely pair AI agents with human teams while seamlessly switching between top-tier and cost-free open-source models as the industry evolves.
At SIGGRAPH, NVIDIA Advances Graphics and Simulation With Agentic and Physical AI
From open models to real-time simulation, AI and graphics breakthroughs are transforming media, content creation and robotics.
NVIDIA Vera Rubin Maximizes Intelligence per Dollar for Post-Training Workloads - a Key Metric for Agentic AI
Lowest cost per token from extreme codesign maximizes intelligence per dollar for post-training in the agentic era.
The agent security gap: 54% of enterprises have already had an AI agent incident, and most still let agents share credentials
Across 107 enterprises, AI agents are being given real access to systems and data while the controls meant to contain them lag behind. More than half have already had a confirmed agent security incident or a near-miss; only about a third give every agent its own scoped identity, and most agents still share credentials; and only three in ten isolate their highest-risk agents. The security stack is overwhelmingly borrowed from the model providers and hyperscalers rather than purpose-built for agents, spending remains a thin slice of the security budget, and enterprises are evenly split on whethe
Three insights you may have missed from theCUBE's coverage of RAISE Summit
Agentic inference is reshaping the center of gravity in AI infrastructure. What began as a race to scale training has shifted into a phase defined by expanding context windows, memory‑augmented reasoning and the need to keep graphics processing units continuously fed with data. As enterprises push deeper into agentic systems, storage has moved into the [...] The post Three insights you may have missed from theCUBE's coverage of RAISE Summit appeared first on SiliconANGLE.
Agentic orchestration: Enterprise AI organizations have a deployment problem, not a platform problem - and most are calling chatbots agents
Across 101 enterprises, agent orchestration is consolidating onto model-provider platforms - Anthropic's Claude leads by a wide margin - chosen for the gravity of the underlying model and judged on reliable multi-step execution. But the ambition runs well ahead of the reality: most deployed "agents" are still chatbot wrappers, the control plane enterprises expect is deliberately hybrid to avoid lock-in, and real-time fiscal control over token burn remains the exception. This wave of VentureBeat Pulse Research examines enterprise agent orchestration: which platforms enterprises run on, what dri
Atlassian evolves Jira into an orchestration hub for developers and AI agents
Atlassian Corp. today announced it is expanding Jira with updates that will help developers prepare, distribute and track work performed by artificial intelligence agents. The company's new Jira Planner helps turn incomplete project ideas into technical specifications, while its Jira Coding Agent and integrations with third-party agents transform work items into requests. With automation rules [...] The post Atlassian evolves Jira into an orchestration hub for developers and AI agents appeared first on SiliconANGLE.
Perplexity launches secure sandbox to make its AI agents secure and powerful
Perplexity AI Inc. today introduced a new feature that takes its current agentic artificial intelligence service, Computer, to perform better with greater security. The company introduced SPACE, a sandbox platform designed to allow its AI agent to act with its full capabilities, while providing the highest level of security for agentic systems. Perplexity Computer can [...] The post Perplexity launches secure sandbox to make its AI agents secure and powerful appeared first on SiliconANGLE.
Should I use Claude Code or n8n?
Should you build it with Claude Code or n8n? Five questions that let you answer for your own situation, from someone who uses both daily.
Why Performance per Watt Is the Ultimate Metric for AI Infrastructure Efficiency
Power is AI infrastructure's inescapable constraint. How many tokens an AI factory can generate within a fixed power budget determines its revenue and profitability. Because of this, performance per watt - a metric that can't be gamed, only earned through real-world results - is the foundation for AI factories. As agentic AI drives token demand [...]
Together AI positions open-weight AI models as the enterprise moat for cost, control and IP
Enterprises racing to deploy AI at scale are discovering that the biggest constraint isn't model capability anymore - it's control. As agentic AI moves from experimentation into core business processes, companies are rethinking whether handing proprietary data to closed frontier models is a risk worth taking, opening the door for open-weight AI models. That shift is [...] The post Together AI positions open-weight AI models as the enterprise moat for cost, control and IP appeared first on SiliconANGLE.
Oracle opens Fusion Agentic Applications to pro-code developers and coding agents
Oracle Corp. today announced a new artificial intelligence-native experience for its Fusion Applications within Oracle AI Agent Studio, allowing developers, customers and partners to build agents together. This expansion fills in the developer side of Oracle's Fusion app agentic enterprise strategy. The company's AI Agent Studio initially allowed business users and partners to assemble agents [...] The post Oracle opens Fusion Agentic Applications to pro-code developers and coding agents appeared first on SiliconANGLE.
Agent Identity, Reliable Execution, and Intent are only half-way solved
After spending the past couple of months looking at hundreds of tech docs from n8n, Google, Gumloop, and the rest, I tallied up 75 capabilities you'd expect an agent development tool to offer. But there are so many more things you can, need, or should do to agents
OpenAI debuts ChatGPT Work, an agentic tool for automating business workflows
OpenAI Group PBC today launched a new "agentic" tool called ChatGPT Work as it announced the global rollout of its most advanced model family so far in GPT-5.6. ChatGPT Work is a new mode within ChatGPT that's designed to perform actions autonomously across user's connected applications, files, web tools, desktops and recurring workflows. It's meant [...] The post OpenAI debuts ChatGPT Work, an agentic tool for automating business workflows appeared first on SiliconANGLE.
Token per watt becomes the defining metric as storage moves to AI's critical path
Token per watt - not raw compute - is emerging as the defining efficiency metric for AI data centers, putting storage at the center of an infrastructure rethink that is reshaping how the industry measures performance, cost and scale. As agentic AI drives an explosion in context memory demand, the role of solid-state storage has [...] The post Token per watt becomes the defining metric as storage moves to AI's critical path appeared first on SiliconANGLE.
Building an AI-powered incident response workflow in n8n
Build an AI-powered incident response workflow with n8n. Combine RAG, threat intelligence, and historical incidents to accelerate SOC investigations.
Solidigm targets the intelligence layer as agentic inference pushes storage to center stage
The shift from model training to agentic inference is forcing a fundamental rethink of how artificial intelligence infrastructure is built and which components carry the most strategic weight. What was once treated as commodity plumbing is now being recognized as the intelligence layer where raw data becomes actionable intelligence. The rise of sovereign AI deployments [...] The post Solidigm targets the intelligence layer as agentic inference pushes storage to center stage appeared first on SiliconANGLE.
DeepFabric ships more than 50 AI agents for supply chain operations
Supply chain artificial intelligence startup DeepFabric today announced the general availability of an AI agent platform built for supply chain execution, and a roster of enterprise customers is already running it in production. The company's platform drops specialized agents into a business' operational workflows to recover margin, cut operating costs and speed up customer response. [...] The post DeepFabric ships more than 50 AI agents for supply chain operations appeared first on SiliconANGLE.
Ex-GitHub chief's Entire opens distributed Git network for the AI agent era
Entire Inc., the developer-platform startup founded by former GitHub Chief Executive Thomas Dohmke, today launched a preview of a distributed Git network built to let artificial intelligence coding agents clone and push code without running into the rate limits of centralized hosting. The preview is open by waitlist, with active regions in the U.S., European [...] The post Ex-GitHub chief's Entire opens distributed Git network for the AI agent era appeared first on SiliconANGLE.
Report: 83% of organizations need to upgrade their infrastructure to support agentic AI
For years, enterprise AI has been synonymous with conversational AI - the customer service bots and digital assistants we interact with every day. But today, the market has shifted. We've officially moved from moving from AI that answers through simple chats, to AI that takes action, automated workflows, and executes complex tasks on its own. While this unlocks entirely new use cases, there's a catch: it places significant stress on the underlying infrastructure we've relied on in the past. We recently surveyed more than 1,400 senior IT leaders for our State of AI Infrastructure report, and a
A developer's guide to publishing agents in Gemini Enterprise and Google Cloud Marketplace
Software-as-a-service (SaaS) is evolving into Agents-as-a-service (AaaS). Instead of isolated applications, developers are creating AI agents that interoperate using standardized open protocols such as the Agent2Agent (A2A) protocol and can be orchestrated through centralized agent platforms like Gemini Enterprise Agent Platform. When building for your specific use case, we believe the goal should always be to engineer high-quality agents that combine autonomy with the ability to reliably execute complex, multi-step workflows that deliver clear business value. For agent builders and developers
AI Innovators Adopt NVIDIA Vera - Why Max Single-Threaded CPU at Scale Matters
Max single-threaded CPUs at scale are a new category of CPUs built for the agentic AI era. Across the creation and deployment of an agentic system, the CPU is on the critical path for reasoning, response time and learning. CPUs are the processor which executes the work the AI model commands: the tool calling, code [...]
The foundational elements of AI architecture that IT leaders need to scale
With the rapid progress of AI capabilities and the move to agentic systems, organizations are expanding their use cases as the technology continues to grow. That constant evolution also introduces risk, leaving IT leaders to wonder which investments will prove valuable even six months into the future. Returning to the foundational elements of AI architecture-the...
AI Agent Memory: Types, Storage, and How To Implement It
Learn how AI agent memory works, from in-context buffers to vector stores. Discover how to build persistent memory into real-world agent workflows at scale.
Mark Zuckerberg says Meta's agentic AI efforts aren't progressing as fast as he had hoped
Meta Platforms Inc. Chief Executive Mark Zuckerberg told employees at an internal town hall meeting that the company's work on artificial intelligence agents hasn't progressed as quickly as he had hoped. It's a rare admission from the founder that not everything is going to plan as it tries to turn its multibillion-dollar investments into AI [...] The post Mark Zuckerberg says Meta's agentic AI efforts aren't progressing as fast as he had hoped appeared first on SiliconANGLE.
15 examples of real-world challenges: Insights from the AWS Summit Washington, D.C. event
As organizations race to operationalize generative and agentic artificial intelligence, the conversation is shifting from pilots and proofs of concept to real-world AI deployments that deliver measurable business outcomes. Success increasingly depends on combining AI-native engineering practices with embedded expertise to help enterprises move faster while maintaining security and long-term self-sufficiency. The shift toward agentic [...] The post 15 examples of real-world challenges: Insights from the AWS Summit Washington, D.C. event appeared first on SiliconANGLE.
Pinecone releases Nexus into public preview to bring business knowledge to AI agents
Pinecone Systems Inc., an artificial intelligence infrastructure company providing fully managed vector databases, Wednesday launched the public preview of Pinecone Nexus, which curates and distributes enterprise knowledge for AI agents. The era of agentic AI is here and it's built on top of data. How that data is delivered to AI agents is becoming the pipeline [...] The post Pinecone releases Nexus into public preview to bring business knowledge to AI agents appeared first on SiliconANGLE.
AlloyDB AI Functions - now with revolutionary performance boosts and cost savings
AlloyDB is an AI-native database-it isn't just a passive data store, it intelligently understands and processes your data. With AlloyDB, you get industry-leading vector and hybrid search, near 100% accurate natural language-to-SQL capabilities to build conversational agents, tools to enable you to build with your agentic IDEs of choice, and the ability to bring the intelligence of foundation models like Gemini directly to your data through AI functions. In this blog post, we discuss the massive breakthroughs in AI function processing alongside a suite of brand-new AI functions. But first: what
Get started with the Claude apps gateway for Google Cloud
Anthropic's agentic coding tool Claude Code has worked with Google Cloud for a while now. An individual developer could easily point CLAUDE_CODE_USE_VERTEX=1 at a Google Cloud (GCP) project, grant the role roles/aiplatform.user, and inference stays inside your Google Cloud perimeter. That flow works great when it's just you, or a handful of engineers. But rolling it out across an organization forces you to deal with enterprise friction: you have to manage per-developer cloud credentials, push a managed-settings.json to every laptop over MDM, and not be verified with zero per-developer usage at
Build agents even faster with Gemini Enterprise Agent Platform's fully-managed, remote MCP server
A couple of months ago, we announced that over 50 Google-managed MCP servers are available. Today, we'll dive into how to use the Gemini Enterprise Agent Platform remote MCP server to securely connect your external AI agents to the resources inside your Google Cloud environment. Connect your IDE to Google Cloud Think of the Agent Platform MCP server as a bridge between your favorite external development tools and your Google Cloud architecture. If you are building an agent in Antigravity CLI or Claude Code, for example, the Agent Platform MCP server allows that agent to securely interact with
Agent confidence on the technical frontier
Enterprise investment in AI is booming. Gartner is calling 2026 an "inflection year" for organizations to align their AI projects with strategic business objectives. As the pressure to prove ROI mounts, executives and technology leaders are looking to agentic AI to drive the measurable financial outcomes their businesses seek. A prime opportunity for AI agents...
Build Self-Improving Agent Skills with cognee and n8n
When a review run falls short, this workflow catches it and proposes a fix to the skill, then writes the improved instructions back once you approve the diff.
Retrofit, don't rebuild: Agentic overlays for transforming legacy enterprise services
In this technical collaboration between AWS and the authors, we present a pragmatic solution: agentic overlays. Agentic overlays are thin wrapper layers that transform traditional REST-based services into agents capable of participating in A2A interactions. They also expose REST APIs as tools compatible with the Model Context Protocol (MCP). Together, they let enterprises add A2A capabilities to existing REST services without rewriting business logic, without duplicating code, and without running parallel infrastructures. This reduces agent sprawl in the infrastructure by reusing existing serv
Salesforce launches Help Agent to simplify AI customer service deployment
Salesforce Inc. is launching a new prepackaged artificial intelligence agent for customer service, enabling organizations to quickly build and deploy AI agents. Today Salesforce announced Help Agent, a prebuilt service agent set atop the Agentforce platform. It can be connected to company knowledge, actions and communication channels in minutes - including web, text and voice. [...] The post Salesforce launches Help Agent to simplify AI customer service deployment appeared first on SiliconANGLE.
Exclusive: LucidLink launches MCP server to give AI agents shared access to distributed files
LucidLink Corp., the maker of a cloud network-attached storage system based on object storage technology, today extended its distributed file system technology into agentic artificial intelligence with the public beta release of a Model Context Protocol server that lets AI agents access shared files across clouds, on-premises systems and edge environments. The company said its [...] The post Exclusive: LucidLink launches MCP server to give AI agents shared access to distributed files appeared first on SiliconANGLE.
AI agents are changing work - and Dell's John Roese says it's just beginning
To gain a better understanding of the longer-term impact that autonomous agents will have on the nature of work, Dell Technologies Inc. has been taking a closer look at how AI is already changing how work gets done. This has been a central focus for John Roese (pictured), Dell's global chief technology officer and chief [...] The post AI agents are changing work - and Dell's John Roese says it's just beginning appeared first on SiliconANGLE.
Anthropic debuts Claude Tag, a more capable AI teammate that lives within Slack
Anthropic PBC today unveiled a new version of its chatbot Claude that lives inside Slack, where it operates like a virtual employee. It's called Claude Tag, and it's designed to work across entire organizations, helping multiple employees complete tasks for related projects. It builds on existing agentic artificial intelligence tools offered by Anthropic, including Claude Code [...] The post Anthropic debuts Claude Tag, a more capable AI teammate that lives within Slack appeared first on SiliconANGLE.