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loadfocus

Boosting E-Commerce Checkout Speed at Peak Load

Sep 7, 2026 By Bogdan In LoadFocus
Optimizing e-commerce checkout speed during peak load is a continuous, multi-layered effort. Drawing on a recent case study of a leading retailer, targeted backend improvements – including database query tuning, server-side caching, and real-time monitoring – reduced peak checkout times by 66%. This led to a 20% increase in completed transactions and a 10% revenue boost during high-traffic events.
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oril

PropTech SaaS Development: The Capabilities That Make Real Estate Platforms Scale

Sep 7, 2026 By ORIL Team In ORIL
A scalable PropTech SaaS platform is built in layers: product workflows, multi-tenancy, integrations, analytics, security, and eventually AI. The right sequence depends on the product, but skipping the architectural foundations creates expensive constraints later. That sequencing is an architecture decision as much as a product one.
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Essential Tools Every Java Developer Should Know in 2026

Essential Tools Every Java Developer Should Know in 2026

Sep 6, 2026 By SystemsDigest In SystemsDigest
Java has stayed near the top of enterprise development for nearly three decades, and a big reason is its ecosystem. The language itself is only half the story - the tools built around it are what make Java teams productive at scale. Whether you're setting up a new project or refining an existing workflow, knowing which tools to reach for saves enormous amounts of time. This guide walks through the core categories of tools every Java developer should be comfortable with in 2026, from build systems to debugging and profiling.
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[Finance Demo] - AgentSpot Use Case - Collections Forecast

Sep 4, 2026 By ThoughtSpot In ThoughtSpot
Every month, finance teams rebuild their collections forecast by hand, copying and pasting from disconnected files and hoping nothing breaks. In this video, we use AgentSpot to build a Collections Forecast Agent that connects to accounting files, NetSuite, and live bookings data to automate the full monthly rebuild, reconcile actuals against forecast, and output a traceable Excel workbook your whole team can work from.
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tricentis

RPA or MBT? Choosing the right automated testing approach for government

Sep 4, 2026 By Tricentis Staff In Tricentis
Software runs mission delivery in the public sector. As agencies modernize and systems grow more connected, the cost of a failed release climbs. The result can be service disruptions, compliance gaps, and loss of public trust. Automated testing is central to managing that risk, but it raises a practical question: which approach is right? Two options come up often: robotic process automation (RPA) and model-based testing (MBT). Both support automation, but they were built for very different purposes.
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databox

How to Answer Any Performance Question with an AI Analyst

Sep 4, 2026 By Nevena Rudan In Databox
Ask one question with a time range, a metric, a comparison, and a goal. The AI analyst does the gathering. You keep the judgment. To answer any performance question in minutes, ask Databox’s AI Analyst, Genie, one well-built question that includes: a time range, a metric, a comparison, and a goal. Genie queries the data sources you’ve connected, runs the calculation, and returns the answer with a recommendation attached.
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oril

How Real Estate Companies Modernize Legacy Reporting with Custom Analytics Platforms

Sep 4, 2026 By Eugenii Samarskyi In ORIL
Two dashboards, same portfolio, different occupancy numbers. This is the moment most reporting modernization projects start, and it is usually read as a dashboard problem. The tool gets blamed, a replacement gets scoped, and the divergence survives the migration intact. It survives because it never lived in the dashboard. When occupancy reads 91% on one screen and 94% on another, both tools are usually working correctly. They are faithfully rendering two different calculations of the same concept.
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testhouse

Agentic AI in Banking: How Autonomous AI Is Changing Financial Services

Sep 4, 2026 By Testhouse In Testhouse
Quick answer: Agentic AI in banking refers to AI systems that don’t just generate text or answer questions – they take a goal, break it into steps, use tools and data sources, make decisions, and complete multi-step workflows (like investigating a fraud case or processing a KYC file) with minimal human intervention, looping in a person only for genuine judgment calls. Walk into any banking technology conference in 2026, and you’ll notice the conversation has quietly shifted.
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bugraptors

React Native Automation Testing: Best Practices, Tools, and Frameworks

Sep 4, 2026 By Achal Sharma In BugRaptors
Cross-platform builds promise rapid delivery through a shared codebase, yet QA teams encounter stubborn regression roadblocks across Android and iOS. React Native connects JavaScript threads to native host views via an asynchronous message channel. When test runners dispatch actions faster than native components finish rendering, automated assertions trigger false alarms without underlying code failures.
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