Systems | Development | Analytics | API | Testing

From Recommendation to Action: Scaling Autonomous Databricks Optimization in the Enterprise

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.

P4 One Experiments: Test New Ideas in Unreal Engine | 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.

AgentSpot for Finance - Automating Lease Accounting Agent

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.

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

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.

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

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.

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

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.

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

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.

Highlights from Xray's Summer '26 Product Release Webinar

Every release brings new capabilities to help QA teams work more efficiently, improve collaboration, and adapt to the evolving demands of software testing. The Xray Summer '26 Product Release Webinar introduced the latest innovations across the platform, from AI-powered capabilities to usability improvements and a preview of what's coming next. Whether you joined the live session or are catching up now, this article highlights the key announcements from the webinar.

Which Customer Integrations Actually Drive Revenue in Real Estate Platforms?

Ask a PropTech team how many systems their platform connects to and you’ll usually get a number they’re a little proud of. A typical platform ties into an MLS feed, a couple of CRMs, a payments provider, an e-signature vendor, and a scatter of data sources, yet it still converts and retains about the way it did a year ago. So the question worth asking about real estate platform integrations isn’t how many you can support.