Systems | Development | Analytics | API | Testing

Top 7 Network Protocols Every Tester Must Know in 2026

Performance engineers who tailor their analysis to the specific behaviors and metrics of each network protocol will uncover issues that generic approaches miss. With protocols like QUIC and HTTP/3 seeing rapid adoption, keeping testing methods current is essential for credible results.

Ep 88 | AI Adoption vs. Adaptation: What Problem Are You Solving?

Paul McDonough-Smith estimates that many business leaders would struggle to define their organization’s problem clearly in fewer than 25 words. With AI, that lack of clarity can quickly turn into fragmented solutions and misplaced expectations. In this episode of The AI Forecast, Paul Muller sits down with Paul McDonough-Smith, a Visiting Senior Lecturer at MIT Sloan School of Management and a Senior Advisor to NASA's Goddard Space Flight Center, to explore how organizations can approach AI with greater clarity and purpose.

How to Build a Fee Transparency Compliance System for Multifamily Listings (While the Rules Are Still Settling)

A leasing team lowers the admin fee on a two-bedroom unit inside the PMS on Monday. By Friday, the property’s own site still shows the old figure, two syndication partners show a third number, and the Google Business Profile lists no mandatory fees at all. Every one of those surfaces is an advertisement. Under a growing set of state all-in-pricing laws, each one is supposed to display the same total monthly price. The regulation itself is readable in an afternoon.

What IT Teams Should Know Before Deploying Unified Communications

What can cause a unified communications rollout to go off track even when the initial project plan looks straightforward? Deploying unified communications may sound simple in a kickoff meeting, but in practice, it can be one of the more deceptively complex infrastructure projects an IT team can take on because it affects nearly every department at once. Network capacity, licensing, integrations, security, user adoption, and compliance requirements can all create problems if they aren't addressed early.

What actually makes you trust the software you ship?

What actually makes you trust the software you ship? Proof. As AI changes how software gets built, teams need more than faster delivery in a crowded market where new tools and solutions are constantly emerging. Trust has to be earned. They need application integrity: confidence that what they're shipping works as intended.

Why browser-based automation can't test your ERP apps

Picture a large-scale grocery and retail chain launching its first online storefront. The setup is complicated: a single online order must travel through an SAP eCommerce platform, multiple payment and loyalty systems, before disappearing into back-end SAP supply chain and ERP apps. The complexity of merging the online and offline business is like a “digital tsunami.” For many SAP enterprises, this sounds familiar.

AI Model Bias Verification: Step-by-Step Framework for Auditing and Mitigating Model Bias

Artificial intelligence plays a vital role in high-stakes decision-making across recruitment, credit scoring, healthcare, and criminal justice. This rapid adoption is reflected in market data (Statista): the global AI technology sector is valued at approximately $617 billion and is projected to surpass $1.4 trillion by 2032, with a steady annual growth rate (CAGR 2026-2032) of 14.82%.However, mathematical execution does not guarantee objectivity.

The Evolution from Test Automation to Autonomous Testing

Testing looks nothing like it did five years ago. What once demanded armies of engineers writing brittle scripts now runs on intelligent systems that create, adapt, and analyze tests on their own. AI has rewritten the rules, and the teams that recognize this shift early are pulling ahead of those still patching broken automation night after night. For QA leaders and DevOps directors under pressure to ship faster without sacrificing quality, understanding this evolution is more than academic.