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katalon

Data-Driven Testing in Katalon Studio: From Requirement to Bound Test Suite in One Prompt

Oct 15, 2026 By Xuan Tran In Katalon
Data-driven testing turns one test case into many: one script, one data file, one iteration per row. Katalon AI Assistant already writes your test cases and test data in minutes. Binding them together, though, was still a manual job that could take far longer. In Katalon Studio 11.6, the assistant does that part too.
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astera

Accounts Payable Metrics: 10 KPIs to Track, with Formulas and Benchmarks

Oct 15, 2026 By Astera Marketing Team In Astera
Accounts payable metrics are the numbers a finance team uses to judge how well AP is working. They show what each invoice costs to process, how fast and accurately it moves to payment, and how well payments are timed. The most useful accounts payable performance metrics fall into five families: cost, productivity, speed, quality, and cash. These metrics apply whether invoices are keyed by hand or captured with accounts payable automation. No single number tells you whether AP is healthy.
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Operationalizing Code Optimization

Oct 15, 2026 By Unravel Data In Unravel
Operationalizing Code Optimization to Improve Cost, Performance, and Reliability of Your Cloud and AI Workloads While infrastructure optimizations like rightsizing and auto-suspending idle resources are standard practice, they cannot solve the cost and performance issues caused by inefficient code. Unoptimized workloads and AI functions waste compute resources, lead to missed SLAs, and significantly inflate cloud spend.
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Tricentis NeoLoad: NeoLoad and SAP Cloud ALM Integration

Oct 15, 2026 By Tricentis In Tricentis
SAP projects are planned and tracked inside SAP Cloud ALM. Here's how Tricentis NeoLoad brings performance testing into that same project hub. In this demo, Tricentis shows how SAP teams create, run, and analyze NeoLoad performance tests from SAP Cloud ALM, so they catch performance problems long before go-live. Highlights.
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Performance Testing in SAP Cloud ALM | SAP Cloud ALM and EPT Demo

Oct 15, 2026 By Tricentis In Tricentis
SAP transformation projects are planned and tracked inside SAP Cloud ALM. Here's how SAP Enterprise Performance Testing by Tricentis, or EPT, brings performance testing into that same hub. In this demo, Tricentis walks through creating, running, and analyzing an EPT performance test without leaving SAP Cloud ALM, so performance problems surface long before go-live. Highlights.
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Data Chief Social 2 9x16 1

Oct 15, 2026 By ThoughtSpot In ThoughtSpot
Even well-designed algorithms can fail and end up hurting the people they're meant to help. In this episode, Dr. Ben Green, Assistant Professor of Information and Public Policy at the University of Michigan, explains what keeps data from being used for good, why AI regulation can't be left to AI companies, and what organizations risk losing when they hand too much of their thinking to AI. In this clip from podcast, he shares why it is the companies that are building AI tools that need to be held responsible vs. putting agency on the tools.
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smartbear

SaaS or on-premise? How to settle the Swagger deployment question

Oct 15, 2026 By Daisy Priya In SmartBear
Choosing between SaaS and on-premise for SmartBear Swagger Studio, SmartBear Swagger Portal, and SmartBear Swagger Contract Testing The question that most often stalls an API solution evaluation is a simple one: do we run this as SaaS or on-premise? It’s simple to ask and hard to answer, because three teams each hold a veto. Security needs to know where your data will live. Your platform team has to decide whether it can take on another workload.
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nodesource

The Node.js Release Schedule Is Changing

Oct 15, 2026 By Rafael Gonzaga In NodeSource
One major per year, every major headed for LTS, and a new Alpha phase: here’s why Node.js is changing a release model that has been in place for more than a decade. For more than ten years, Node.js releases have followed a rhythm that became familiar across the ecosystem: a new major every six months, even-numbered releases moving into Long-Term Support, and odd-numbered releases serving as shorter-lived Current lines. That model brought something Node.js badly needed in 2015: predictability.
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