Technology

Introducing the Choreo AI Gateway

Oct 20, 2025 By Thushani Jayasekera In WSO2

In recent years, AI technologies have evolved rapidly, and these capabilities are now accessible through APIs, making it easier for developers and enterprises to integrate AI into their applications. Whether it's natural language processing, image generation, or text summarization, AI APIs have become essential for modern applications.

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Agentic QA as a Quality Operating Model

Oct 20, 2025 By Katalon In Katalon

By now, most teams experimenting with AI-augmented testing have started with narrow, tactical use cases: writing test cases faster, summarizing logs, or tagging defects. These are useful — and they build trust in the tech. But true value emerges when you stop thinking of agents as plug-ins, and start thinking of them as a virtual QA team, a set of coordinated roles that evolve how testing is done, how it’s governed, and how it delivers value across the delivery lifecycle.

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SwiftUI Button Animation: Scale on Press (2025)

Oct 17, 2025 By Bugfender In Bugfender

Learn how to animate a SwiftUI button using just withAnimation, scaleEffect, and shadow. We make the button shrink slightly on tap, then bounce back with a smooth spring animation — no extra frameworks, just native SwiftUI.

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How to use the Fivetran Managed Data Lake Service to set up Amazon S3

Oct 17, 2025 By Fivetran In Fivetran

And get Fivetran’s latest news at.

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From Idea to Production in Minutes: AI-Powered DevOps on Choreo

Oct 17, 2025 By WSO2 In WSO2

See how the WSO2 Choreo Internal Developer Platform, powered by an AI agent, can transform a simple diagram into a fully deployed, secure, and observable cloud-native application in minutes. Discover how Choreo’s key components—Marketplace, GitOps, Managed Services, and Managed Authentication—eliminate DevOps friction and unlock unparalleled developer velocity.

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Logi Symphony Deployment Guide: AWS, Azure & GCP

Oct 17, 2025 By insightsoftware In InsightSoftware

Your users want live insights inside the tools they already use, not another standalone BI platform. This walkthrough shows how Logi Symphony deploys across AWS, Azure, and GCP, letting you embed analytics anywhere your product lives while maintaining complete control over your data and security. Get all the advantages of public cloud—automation, elasticity, and speed—without sacrificing governance. See how to deploy in minutes using managed Kubernetes and Helm, with self-healing infrastructure that scales automatically. Logi Symphony delivers modern cloud analytics with the freedom to deploy wherever your business demands.

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Building Your Next-Gen Lakehouse with Qlik, AWS, and Apache Iceberg

Oct 17, 2025 By Vijay Raja & Jason Hall In Qlik

Real-time analytics has become a cornerstone of modern enterprises. Businesses are no longer satisfied with waiting hours or days for insights—they demand answers in seconds. The rise of AI, machine learning, and generative AI has only accelerated this need, putting immense pressure on data platforms to deliver reliable, scalable, and flexible architectures.

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What Is Causing AI Hallucinations With Analytics?

Oct 17, 2025 By InsightSoftware In InsightSoftware

You’re presenting AI-generated analysis in your quarterly strategy meeting. The slides are polished, the insights look solid, and you’re ready to move the conversation forward. Then the CFO leans forward: “Where did this number come from? I reviewed this data last week and something doesn’t add up.”

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Appian: AI-Powered Process Automation for Financial Services

Oct 17, 2025 By Appian In Appian

In the financial services industry, companies face pressure to modernize, reduce risk, and deliver seamless digital experiences. They also face issues like complex legacy systems and expanding regulations. Appian helps tackle these challenges with AI-powered process automation, orchestrating workflows across various functions like onboarding, KYC, lending, and compliance.

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How Multi-Kafka impacts data replication strategy

Oct 16, 2025 By Andrew Stevenson In Lenses

Imagine an airline system monitoring traffic around an airport. If it detects a major delay, countless systems may need to react instantly: Ground operations to adjust flows. Some of these systems will still connect via API, traditional MQ or iPaaS technologies, but the data’s volume and urgency and the ease of decoupling apps make architecting with Kafka the better fit. The natural question is: should all these applications & systems connect to the same Kafka cluster?

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