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integrate

How to Build a Self-Healing Data Pipeline with AI Agents (Step by Step)

Aug 7, 2026 By Donal Tobin In Integrate
Your data pipeline breaks at 2 AM. Again. By morning, corrupted data has cascaded through dashboards, reports sit empty, and your team spends half the day tracking down root causes instead of building features. This scenario plays out across organizations daily. Data engineers spend 44% of their time firefighting pipeline failures rather than delivering value.
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integrate

What Is Agentic iPaaS? The Next Evolution of Integration Platforms

Aug 7, 2026 By Donal Tobin In Integrate
Traditional integration platforms were built for a world of predictable, human-configured workflows. But with enterprise software rapidly incorporating agentic AI capabilities, that world is changing fast. Agentic iPaaS represents a fundamental architectural shift where intelligent agents reason, adapt, and execute integrations autonomously, moving beyond simple "if-then" automation to goal-oriented systems that make real-time decisions.
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loadfocus

Case Study 2026: Scaling a SaaS Platform with AI-Powered Load Testing Insights

Aug 7, 2026 By LoadFocus In LoadFocus
Consider a SaaS provider experiencing a sudden surge in demand. After years of steady expansion, a viral integration sends active user sessions soaring – tripling overnight. Onboarding speeds up, clients invite their own users, and the platform expands into new regions. With this momentum, the risks escalate: any downtime or performance issue now threatens not only revenue but also customer trust and regulatory standing.
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From Recommendation to Action: Scaling Autonomous Databricks Optimization in the Enterprise

Aug 6, 2026 By Unravel Data In Unravel
Every Databricks optimization platform can tell you what should change. The harder question is: when should a system be trusted to make that change on its own? This session follows the journey of an Unravel customer as we moved from surfacing Databricks platform optimization recommendations to safely applying them in production. Prajakta will talk about the engineering decisions, the guardrails, and the trust model that made autonomous optimization possible in an environment where every change carries operational risk.
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P4 One Experiments: Test New Ideas in Unreal Engine | Perforce

Aug 6, 2026 By Perforce In Perforce
Join Josh Sherwood, Perforce Principal Software Engineer, for a walkthrough of P4 One Experiments, Perforce's newest plugin for Unreal Engine. If you've ever wanted to try a new idea in your Unreal project (an alternate character model, a new level layout) without risking your main project, this plugin is built for exactly that.
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AgentSpot for Finance - Automating Lease Accounting Agent

Aug 6, 2026 By ThoughtSpot In ThoughtSpot
Discover what’s possible with AgentSpot as Sheila showcases an AI agent ("Leasey") built to automate lease accounting. From analyzing contracts to creating calculations, schedules, and audit documentation, this workflow shows how teams can use agents to streamline everyday business processes. What is AgentSpot? AgentSpot is an Agentic Workforce Platform for building workflows that make decisions, take action, and deliver results across every system your business runs on, grounded in your data.
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kong

A New Dawn: Enterprise AI's Shadow - Trillions of Tokens, Zero Governance

Aug 6, 2026 By Augusto Marietti In Kong
You Can't Govern What You Can't See A decade ago, cloud and API sprawl got ahead of governance, and enterprises spent years trying to account for costs they'd never tracked. Today, we're seeing the same pattern around AI, with hundreds of customers proxying traffic via Kong AI Gateway, which includes LLM, MCP, and agent connectivity. *AI spending will reach $2.59 trillion in 2026.* I regularly like to share what we're seeing in production at Kong.
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kong

What Are AI Agents Actually Doing When They Talk to Each Other?

Aug 6, 2026 By Hugo Guerrero In Kong
You've probably seen the demos. An AI model kicks off a task, hands pieces of it to other AI models, and somehow the whole thing gets done. Emails drafted, code reviewed, reports summarized — all without a human in the loop. While a single agent doing one thing is impressive, the true paradigm shift occurs when transitioning from single-agent to multi-agent AI systems. It looks like magic. It isn't.
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InsightSoftware

Simba Intelligence Wins Best Semantic Later Solution at the DBTA Reader's Choice Awards

Aug 6, 2026 By InsightSoftware In InsightSoftware
Database Trends and Applications (DBTA) has released its 2026 Readers’ Choice Awards, a competition voted on by DBTA readers to recognize the best information management products, services, and solutions. This year, we’re proud to announce that Simba Intelligence was voted Best Semantic Layer Solution. Here, we discuss the award and why a semantic layer shouldn’t be an afterthought to your data and analytics strategy.
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lenses

Agentic Engineering and the Agentic Software Factory for Real-Time Data Products

Aug 6, 2026 By Tun Shwe In Lenses
Software workloads that process large volumes of real-time data are becoming common. Decades working in this domain has taught me that building and operating reliable and maintainable real-time data products requires permissive access to the context of the environment. This article explains how to approach agentic engineering and apply it when building real-time data products inside an agentic software factory.
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