Systems | Development | Analytics | API | Testing

Real-Time Fraud Detection with Edge-to-AI | Cloudera Data in Motion Demo

Aug 17, 2026 By Cloudera, Inc. In Cloudera
Learn how to build an end-to-end, real-time edge-to-AI data pipeline to tackle critical enterprise challenges like credit card fraud detection. In this demo, Diby Malakar (Product Lead for Data in Motion) demonstrates how to process an average of 5,000 transactions per second in low hundreds of milliseconds to detect fraud instantly. Discover how Cloudera’s Data in Motion suite enables application developers to ingest, govern, and enrich streaming edge data to power instant AI model inference and live analytics.
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zymr

Top Challenges of Interoperability in Healthcare and How AI Is Helping Solve Them

Aug 17, 2026 By Yogesh Karachiwala In Zymr
Healthcare interoperability enables clinical and administrative systems to exchange usable patient information. However, connectivity alone does not ensure accurate interpretation or workflow compatibility. Many of the challenges with interoperability in healthcare have less to do with moving data and more to do with whether the receiving system understands what that data means. FHIR standardizes healthcare data exchange through structured resources and implementation frameworks.
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smartbear

SmartBear MCP for Zephyr: Connect your testing system of record to your AI tools

Aug 17, 2026 By Alisha Siddhartha In SmartBear
Your SmartBear Zephyr test data holds the answers you need before you ship: what’s covered, what passed, where the risk sits. That data has always lived one context switch away, behind the Jira UI. The SmartBear MCP Server changes that. It brings your Zephyr test data into any MCP-compatible AI client, so quality keeps pace with how fast your team builds. This guide covers where testing sits in the AI age, what MCP is, and how it unifies data visibility within your Zephyr workflow.
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multiplayer

Multiplayer is joining FilingRamp

Aug 17, 2026 By Multiplayer In Multiplayer
Four years ago, we started Multiplayer with an ambitious goal: to help teams work better on distributed systems. Since then we've grown to thousands of users, and we reached a milestone I'm especially proud of: open-sourcing our AI debugging agent to put it in the hands of every developer who's ever wrestled with a gnarly bug or waded through PR slop from AI tools. Today I'm excited to share the next chapter: Multiplayer is joining FilingRamp.
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oril

Where AI Delivers Real ROI in Brokerage and Listing Platforms

Aug 17, 2026 By ORIL Team In ORIL
Two AI features can cost the same to build and land on opposite sides of the P&L. Add a chatbot to a listing page, and you get a support-deflection number that plateaus in a quarter. Rework search ranking so a buyer who types “quiet street, near a school, room for an office” gets the right ten homes instead of 400 filtered results, and you move search-to-contact conversion, which sits at the top of every revenue metric downstream.
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perforce

Why Determinism & Realism Are So Critical in Enterprise Synthetic Data

Aug 17, 2026 By Perforce In Perforce
Generating synthetic data is one thing. Trusting it is another. As enterprises adopt synthetic data for development and testing, important questions quickly emerge: Can it be reproduced consistently? Does it accurately reflect real-world business scenarios? In fact, our survey of enterprise leaders found that “consistent, high-quality test data to reduce defects” was their priority in test data automation at 43%.
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Supplier Relationship Management Software: Strengthening Vendor Collaboration

Supplier Relationship Management Software: Strengthening Vendor Collaboration

Aug 17, 2026 By SystemsDigest In SystemsDigest
Strong supplier relationships are essential for companies that depend on reliable procurement, consistent quality, and predictable delivery. As vendor networks grow, managing communication through spreadsheets and disconnected systems becomes difficult. Modern supplier management tools help businesses create more transparent and structured collaboration.
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Connect AI Agents with MCP | Do It Better with FME & Snowflake

Aug 15, 2026 By Snowflake Inc. In Snowflake
See how AI agents use Model Context Protocol (MCP) with FME to connect complex enterprise and spatial data to Snowflake. In this episode of Do It Better with Snowflake, Safe Software CEO Don Murray demonstrates how FME extends Snowflake Cortex AI Agents with FME workflows for data integration, transformation, and spatial analysis. See how Snowflake + FME can help you: Connect complex data: including GIS, CAD, 3D, LiDAR, BIM, ERP, and unstructured data.
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keploy

QA Testing Tools: The Best Options By Category (2026)

Aug 14, 2026 By Keploy In Keploy
QA testing tools have never been more varied, and more confusing to choose between. In 2026, the category spans unit testing frameworks, API automation platforms, AI-powered self-healing test suites, and everything in between. Most teams don’t need one tool. They need a stack of three to five that cover different parts of the delivery cycle. The challenge isn’t finding tools.
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