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testhouse

Agentic AI in Banking: How Autonomous AI Is Changing Financial Services

Sep 4, 2026 By Testhouse In Testhouse
Quick answer: Agentic AI in banking refers to AI systems that don’t just generate text or answer questions – they take a goal, break it into steps, use tools and data sources, make decisions, and complete multi-step workflows (like investigating a fraud case or processing a KYC file) with minimal human intervention, looping in a person only for genuine judgment calls. Walk into any banking technology conference in 2026, and you’ll notice the conversation has quietly shifted.
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bugraptors

React Native Automation Testing: Best Practices, Tools, and Frameworks

Sep 4, 2026 By Achal Sharma In BugRaptors
Cross-platform builds promise rapid delivery through a shared codebase, yet QA teams encounter stubborn regression roadblocks across Android and iOS. React Native connects JavaScript threads to native host views via an asynchronous message channel. When test runners dispatch actions faster than native components finish rendering, automated assertions trigger false alarms without underlying code failures.
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appian

Automated Document Processing: 5 Examples and Key Benefits

Sep 4, 2026 By Sabrina Mei In Appian
Automated document processing, also known as intelligent document processing (IDP), uses artificial intelligence and machine learning to reduce the manual effort required to extract data from paper or digital documents. Why is that vital? As organizations continue to modernize in their workflows, enterprises still need to grapple with enormous volumes of documents, such as invoices, receipts, and contracts. Manual data entry and rekeying of document data creates an operational bottleneck.
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speedscale

From Handwritten Mocks to proxymock: The Complete Loop

Sep 3, 2026 By Matt LeRay In Speedscale
Handwritten mocks are cheap one at a time. This series built enough of them to show how quickly that stops being true. Nine posts took one package notifier from a function returning "delayed" to a captured response from a real carrier. Along the way, we hand-authored canned successes, failure cases, a spy, a stateful fake, an HTTP server, response fixtures, and contract-drift tests in four languages.
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zymr

AI in Claims Processing: What's Actually Working in 2026

Sep 3, 2026 By Jay Kumbhani In Zymr
‍AI claims processing applies predictive models, machine learning, computer vision, and generative AI across claims workflows. These technologies analyse documents, images, policy terms, historical records, and structured claim data. Insurers use AI for document extraction, claim triage, fraud detection, damage assessment, and adjuster assistance. Predictive models classify claims, estimate severity, and identify cases requiring specialist review.
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From CoWork to Action: How to Make Snowflake CoWork Production-Ready

Sep 3, 2026 By Hevo Data In Hevo
AI agents are moving rapidly from experimentation to execution, and Snowflake CoWork is making it easier for teams to put AI to work across everyday business workflows. But knowing how to use CoWork effectively is only the first step. The bigger question is: how do you make sure the data powering those workflows is complete, current, and reliable enough to trust?
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What You Need to Know About Kubernetes vs. Docker Compose

Sep 3, 2026 By Perforce In Perforce
Choosing between Docker Compose and Kubernetes can feel overwhelming, especially when both play an important role in modern containerization strategies. In this video, Zend Professional Services Manager Adam Culp breaks down Kubernetes vs Docker Compose. You’ll learn the essentials of container orchestration, discover when simplicity is an advantage, and understand when it's time to scale—plus, he recommends a new tool that can help, whether you choose Kubernetes or Docker Compose.
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Reduce API governance and documentation time to minutes | SmartBear Swagger Studio

Sep 3, 2026 By SmartBear In SmartBear
In this video, you'll learn how SmartBear Swagger Agents, built right into SmartBear Swagger Studio, cut the process of manual API governance reviews and documentation from weeks to minutes, generating API definitions that are specific to your APIs and compliant with your organization's governance rules from the start.
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[Product Demo] AgentSpot Use Case - Automate Release Notes

Sep 3, 2026 By ThoughtSpot In ThoughtSpot
Release notes are the thing that always gets written last, usually by whoever has the least context, usually the morning after ship day. Everything you need is already sitting in GitHub, it just isn't in a form anyone outside engineering can read. In this video, we use AgentSpot to build a Release Notes Workflow that reads what's been merged in GitHub, translates the changes into human-readable notes, posts them to your team's Slack channel, and keeps a running Slack canvas so every release stays in one place.
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[Product Demo] AgentSpot Use Case - PM Jira Assistant

Sep 3, 2026 By ThoughtSpot In ThoughtSpot
Writing tickets is the tax every PM pays. You know exactly what needs to get built, then you spend an hour turning it into properly scoped Jira issues with acceptance criteria, labels, and the right epic. AgentSpot does the writing for you. In this video, we use AgentSpot to build a Product Assistant that turns a rough feature idea into fully drafted Jira tickets, pulls in context from your existing backlog so nothing gets duplicated, and files them to the right epic ready for grooming.
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