Systems | Development | Analytics | API | Testing

dreamfactory

How DreamFactory Helps Schools Use AI Safely on Their Own Data

Aug 12, 2026 By Kevin Hood In DreamFactory
Every school, college, and university is being asked the same question right now: Can we use AI on our own data without putting student records at risk? The promise is real, including personalized learning, faster advising, and smarter operations. So is the fear. AI that touches student information runs straight into FERPA, breach risk, and a simple trust problem: once data leaves your control, you can't govern it.
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speedscale

Diagnose Serial N+1 API Calls With Tempo + proxymock

Aug 11, 2026 By Matt LeRay In Speedscale
One API request took 302 milliseconds. Nothing failed. CPU was mostly idle. The response was correct. The trace made the problem obvious: eight inventory calls, each waiting for the previous one. But the trace could not tell me why the application made eight calls, or whether changing their execution would preserve the response. It showed the shape of the wait, not the input that created it.
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smartbear

Practice what you Pact : Catch breaking API changes before production in the SmartBear MCP

Aug 11, 2026 By Kevin Rohan Vaz In SmartBear
There’s something satisfying about contract testing the contract-testing tool. The SmartBear MCP Server is the integration layer between AI coding assistants and the PactFlow API, so when we decided it needed Pact consumer tests of its own, we were subjecting our own code to the same standards that we recommend.
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kong

Kong AI Gateway Applies NVIDIA NeMo Switchyard Across Model Traffic

Aug 11, 2026 By Harish Madhavan In Kong
Every team running production LLMs has had the same idea: not every request needs the frontier model. Intelligent model routing (or LLM routing)— choosing a model per request on criteria such as task complexity, cost, latency, or quality — enables more efficient model usage.
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Avoid the Cloud Token Trap & Secure Your AI | Cloudera AI Inference Service Demo

Aug 11, 2026 By Cloudera, Inc. In Cloudera
Relying strictly on public cloud AI APIs often leads to unpredictable token costs and data residency concerns. In this demo, Peter Ableda (Product Lead for Cloudera AI) demonstrates how the Cloudera AI Inference service enables enterprise-grade private AI behind your firewall—whether on-premises or in a Virtual Private Cloud (VPC). Learn how bringing AI directly to your data ensures total model control, cost predictability, and maximum data security.
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The Impact of AI and Machine Learning on Real Estate Business

The Impact of AI and Machine Learning on Real Estate Business

Aug 11, 2026 By SystemsDigest In SystemsDigest
Artificial Intelligence (AI) and Machine Learning (ML) are changing the way the real estate industry operates. From property valuation and investment analysis to customer service and marketing, these technologies are helping businesses process information faster and make more informed decisions.
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How Automating Marketing Data with AI Saves Hours

Aug 10, 2026 By Cloudera, Inc. In Cloudera
Did you know Cloudera's marketing operations team is using AI to automate workflows and eliminate manual processes? In this video, Kelly Sutter shares how Cloudera empowers marketing teams to unify data, uncover customer insights faster, and optimize marketing analytics with trusted enterprise AI. Discover how bringing AI to your data makes marketing more connected, responsive, and effective.
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What's New in WSO2 Identity Server 7.3: Secure AI Agents

Aug 10, 2026 By WSO2 In WSO2
AI agents can work in the background on your behalf, but, how do you keep them from doing too much? WSO2 Identity Server 7.3 now supports Client-Initiated Backchannel Authentication (CIBA), giving ambient agents access only when the user approves each request through a push notification. The agent can act, but you stay in control.
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