Agentic AI
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Agentic AI’s Appetite for Data is Growing Fast—How to Feed it Safely
Read more: Agentic AI’s Appetite for Data is Growing Fast—How to Feed it SafelyAgentic AI is hungry. Not just for compute power or clever prompts, but for clean, connected, context-rich data. If that data is siloed, stale, or fragmented, the agent stalls possibly hallucinating, failing to act, or chasing irrelevant tasks. And yet, that’s exactly the state of most enterprise data: duplicated across platforms, locked behind APIs, and…
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Ditch the ETL Tax
Read more: Ditch the ETL TaxAI isn’t the bottleneck. Infrastructure is. That’s the quiet killer of most enterprise AI efforts. You’ve got a cutting-edge agent prototype that performs well in demos, but it chokes the moment you try to move it beyond the lab. Why? Because real-world data isn’t clean. It isn’t centralized. It’s everywhere and traditional workflows demand you…
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What is Agentic Search?
Read more: What is Agentic Search?Agents are everywhere these days. Finding them the data they need is a problem that is all too often glossed over or treated as a Simple Matter of Programming (SMOP). As experienced engineers know, SMOP is an ironic joke. It’s never simple. Finding a clear definition of agentic search turns out to be challenging. On…
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Agentic AI Needs Agentic Search—Context, Confidence, and Control are Critical
Read more: Agentic AI Needs Agentic Search—Context, Confidence, and Control are CriticalAI agents are advancing fast—but they’re still only as effective as the information they can access. And without intelligent, real-time, agentic search, most enterprise agents are limited in their capabilities. We like to imagine AI agents as highly capable digital coworkers—able to analyze complex data, perform tasks, and make smart decisions. But in reality, even…
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SWIRL Enterprise 4.2: Bringing AI Search to the Kingdom of Search
Read more: SWIRL Enterprise 4.2: Bringing AI Search to the Kingdom of SearchYou’d be forgiven for thinking it’s a little strange—maybe even pointless—to bring AI-powered search to Google Workspace. After all, this is Google. The company whose name is synonymous with search. Trying to enhance Google with better search feels a bit like installing sprinklers in a rain forest. But here’s the thing: while Google’s public web…
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Beyond Data Centralization: Evolving Agentic Data Access
Read more: Beyond Data Centralization: Evolving Agentic Data AccessIt’s a bit like evolution in action. In nature, evolution favors traits that help organisms thrive. But when the environment shifts suddenly, those once-useful traits can become useless appendices. The same holds true for enterprise technology. Every software or system you adopt solves a problem… until the environment changes. And in 2025, the environment has…
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Agentic AI Without the Baggage: Why SWIRL + MCP is the Smarter AI Search Stack
Read more: Agentic AI Without the Baggage: Why SWIRL + MCP is the Smarter AI Search StackThere’s a common misconception in enterprise AI:If your AI agent needs access to internal knowledge, you first need to build a vector database. It sounds logical until you actually try it. Suddenly you’re drowning in embeddings, data pipelines, security concerns, and months of effort just to get a prototype off the ground. But here’s the…
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Latest news
- Agentic Search—Your Antidote to Tool Chaos
- Agentic AI’s Appetite for Data is Growing Fast—How to Feed it Safely
- Concrete or Quicksand? Which Foundation Will You Get?
- Ditch the ETL Tax
- Burn the Pipelines. Break the Tyranny. Take Back Your Data.
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