Systems | Development | Analytics | API | Testing

databox

Agentic Analytics in Practice: How AI Moves from Answering Questions to Closing the Loop

Apr 23, 2026 By Alexander B. Pavlinek In Databox
I spent years building dashboards that nobody used. Not because they were bad dashboards — they were actually pretty good. Clean visualizations, real-time data, all the metrics leadership said they wanted. But here’s what I learned: the problem was never the dashboard. The problem was the gap between seeing what happened and doing something about it. You look at a dashboard. It doesn’t act.
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confluent

The Last (and Longest) Mile of Apache Kafka Migrations: Client Migrations With KCP and Confluent Cloud Gateway

Apr 23, 2026 By David Marsh In Confluent
In a previous blog post in this series, we introduced Kafka Copy Paste (KCP), an open source CLI tool that automates the discovery, provisioning, and data migration steps of moving your Apache Kafka environment to Confluent Cloud. We walked through how KCP and Cluster Linking work together to reduce a process that traditionally took weeks to a matter of hours. At the end of that post, we hinted that automated client migration was coming soon. That day has arrived.
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bitrise

What App Stores allow with OTA updates: Apple and Google policy explained

Apr 23, 2026 By Dan Žďárek In Bitrise
A critical bug is live in production. Your fix is ready. And now your team is staring at a potential multi-day wait for app store review. This is exactly what over-the-air (OTA) updates are designed to solve. Tools like Expo EAS Update, CodePush, Shorebird, Revopush or Stallion make it easy to push updates directly to users’ devices. But OTA updates don't bypass app store rules, they operate within boundaries that both Apple and Google have defined.
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kong

Introducing Kong A2A and MCP Metrics: Visibility and Governance for AI Tool Adoption at Scale

Apr 23, 2026 By Amit Shah In Kong
Scaling LLM and agentic AI adoption from pilot programs to enterprise-wide deployments is a massive logistical rollout. As AI and agentic usage grow, so does a nagging question for leadership: **Are agents using the right tools to get the job done?** While raw infrastructure metrics might tell you if a server is "up," they fail to tell you if your AI investment is being leveraged.
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dreamfactory

DreamFactory 7.5.0 Release: GitHub-Connected AI Agents, a Platform-Wide Security Hardening Pass, and a Smoother MCP Authoring Experience

Apr 23, 2026 By Kevin McGahey In DreamFactory
DreamFactory 7.5.0 is focused on two audiences that have been growing fastest in our user base: teams wiring LLM agents to production databases through MCP, and security and platform teams hardening those deployments for real-world traffic.
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smartbear

Git review for TestComplete projects

Apr 23, 2026 By Temil Sanchez In SmartBear
Teams using TestComplete face a common problem: one small test change can produce a wide set of modified files, and not all of them deserve the same level of scrutiny. The fix is not to review everything equally – it is to classify TestComplete artifacts by risk, then standardize how your team reviews, stages, and merges them. This article outlines this process and offers best practices for using Git effectively with TestComplete projects.
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hitachi vantara

Sustainability from the Boardroom to the Control Plane

Apr 23, 2026 By Simon Ninan In Hitachi Vantara
The definition of sustainability is being re-written in the age of AI. Yes, the current discourse that focuses on green IT considerations, including resource efficiency, carbon accounting and water use, is necessary. But it is incomplete. Sustainability in the age of AI implies sustaining the long-term flourishing of people, businesses, societies, and planetary systems together, not just minimizing energy use or carbon.
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How Semantic Layers and Ontologies Create Trusted AI

Apr 22, 2026 By ThoughtSpot In ThoughtSpot
Learn why an organization’s ontology, a structured framework for how a business defines, connects, and makes sense of its data and knowledge, is the most valuable and most overlooked asset in any AI strategy. Jessica Talisman, CEO and Founder of The Ontology Pipeline, and Tony Seale, Founder of The Knowledge Graph Guys, break down what it actually takes to build trusted AI, covering everything from semantic layers and knowledge graphs to why provenance is non-negotiable.
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Ontology: The Secret to Semantic Layers | The Data & AI Chief Podcast

Apr 22, 2026 By ThoughtSpot In ThoughtSpot
Is your AI-driven "autonomous enterprise" a reality or a peak-of-inflated-expectations dream? Most organizations rush toward the end state of AI agents without doing the foundational work of defining how their data actually relates through a robust ontology. In this episode of The Data & AI Chief, we sit down with Tony Seale, Founder of The Knowledge Graph Guys, and Jessica Talisman, CEO and Founder of The Ontology Pipeline. We break down why the "lost art" of data modeling and the development of semantic layers are the secret weapons for scaling Agentic Analytics.
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