Systems | Development | Analytics | API | Testing

tideways

Updating access timestamps without wrecking the database

Jul 28, 2026 By Benjamin Founder & CEO In Tideways
When you want to know the last time some user was seen or some resource was accessed/viewed, then usually you reach to a timestamp column and update this to the current time whenever it’s seen or accessed. You may have written this kind of SQL statement (or the equivalent) in your ORM yourself a few times: It looks innocent, but even on reasonably small tables, this can cause slow UPDATE statements regularly.
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ably

Ably Pub/Sub now supports React Native push notifications

Jul 28, 2026 By Evgenii Khokhlov In Ably
Until now, sending push notifications to a React Native app with Ably meant registering devices manually through the push admin API, usually from a server. The new plugin moves activation where it belongs: onto the device. We've added first class support for React Native apps receiving push notifications through the Ably PubSub JavaScript SDK.
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thoughtspot

Advancing ThoughtSpot's Commitment to Apache Ossie (Incubating), the Next Chapter of OSI

Jul 28, 2026 By Francois Lopitaux In ThoughtSpot
When the Open Semantic Interchange (OSI) initiative launched last year, it set out to solve a problem every data leader recognizes: the same business metric gets defined a dozen different ways across a company's BI tools, warehouses, and now, AI agents. "Monthly active users" in the CRM rarely matches "monthly active users" in the warehouse, and every new AI copilot added to the stack makes the gap more visible, not less. That initiative has just taken its most consequential step yet.
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Use of AI in Software Development

Jul 28, 2026 By SmartBear In SmartBear
Quick application integrity check: can your quality strategy survive the tsunami of code coming its way? AI is accelerating development, increasing code abstraction, and multiplying the volume of software teams need to validate. But existing QA approaches weren't built for this level of speed and scale. Application integrity closes the growing gap between what teams build and what they can verify, providing continuous assurance that software works as intended.
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appian

Building Enterprise-Grade AI Agents: From Prototype to Production

Jul 28, 2026 By Wei Smith In Appian
Everyone can build an AI agent today. The hard part isn't getting an agent to answer a question or complete a demo. It's deploying one that employees trust, security teams approve, and operations teams can manage at scale. That's where many AI projects stall. As organizations move beyond experimentation, the conversation shifts from prompt engineering to production readiness. Can the agent safely access business data? Can you evaluate changes before deployment? Can you understand why it made a decision?
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Why Trusted Data Is the New AI Moat (w+ Rick Kranz from the AI Marketing AUtomation Lab)

Jul 28, 2026 By Databox: AI-powered analytics that answers back In Databox
Rick Kranz has built over 100 AI automations for his community and clients — he has no reason to defend Databox. But when he tried to run his AI analysis without the Databox MCP, it just stopped working. In this episode, Rick and Pete break down exactly why: the semantic layer, the metric definitions, and the standardized math that make an AI's answer trustworthy instead of a guess. If you've ever wondered why connecting five random MCP servers to Claude doesn't give you the same results as a purpose-built data layer, this is the episode.
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yellowfin

Conversational Analytics in 2026: Where Natural Language Search Helps

Jul 28, 2026 By Hagop Panosian In Yellowfin
In 2026, asking a BI tool, “What happened to revenue last quarter?” feels almost effortless. That ease is the appeal of conversational analytics. It turns plain language into charts, metrics, and short explanations. It sits inside the broader world of augmented analytics, where AI helps people ask better questions and move faster. But speed can hide problems. If the metric is vague, the calendar is wrong, or access rules are loose, a fast answer can still be the wrong answer.
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yellowfin

From Dashboards to Decision Flows: Embedded Analytics That Trigger Action

Jul 28, 2026 By Hagop Panosian In Yellowfin
Teams have more dashboards than ever. They also have more dashboard fatigue. Metrics are easy to display. Decisions are harder. A chart can show a drop in revenue, but it rarely tells a product leader what to do next. That gap is why many teams stay stuck in review mode instead of action mode. This is where decision-centric analytics changes the pattern. The goal is not more visibility. The goal is faster recognition, better understanding, and clear follow-through when something changes.
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