What is Release Assurance?
A practical definition of the discipline that proves a release is ready to ship, backed by evidence instead of opinion.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
The Missing Piece of Your AI Strategy: Data at the Edge
Companies everywhere are rushing to deploy AI models to outpace the competition, but they are running headfirst into a brutal reality check: an AI model is only as brilliant as the data feeding it, and most data simply isn't AI-ready. The high-value, real-time data required to power these models doesn’t live in a pristine, pre-formatted cloud data warehouse. It is generated in the physical world on factory floors, inside hospital rooms, and at point-of-sale terminals.
The Best Tier 1 SOC Automation Tools in 2026
Tier 1 SOC is alert triage, enrichment, initial investigation, and escalation. Most of this work is repetitive and hard to scale, and legacy options for automating it (e.g., SOAR) can't keep pace with modern workloads because they're engineering-led, not analyst-led or browser-based (where the actual work happens). The tools below automate tier 1 work, and all of them use AI in some way. They range from AI SOC analysts that investigate alerts the way a human would to automation platforms with AI layered on top, plus AI built into platforms you may already run.
Beyond Static KPIs: Leveraging Augmented Analytics for Predictive Business Growth
In volatile markets, a KPI dashboard that only tells you what happened last week is already too late to guide confident action. Many companies have dashboards. Fewer have KPI systems that help them spot revenue shifts, retention risk, margin pressure, or supply-chain trouble before those issues hit the business hard. That gap is where augmented analytics comes in.
How Digital Transformation Can Benefit Your Real Estate Business
Real estate teams have no shortage of software options. The real decision is which tools are worth the operational change they require. Digital transformation in real estate means using connected digital tools and shared data to automate manual workflows, improve the customer experience, and make decisions from real numbers instead of instinct.
Top 10 Reasons to Invest in Product Experience Management (PXM) Software
Implementing a PXM solution provides numerous benefits to your organization, from improving efficiency to increasing sales, reducing returns, and promoting customer loyalty. Today, we’re going to explore these benefits in more detail. Interested in the distinctions between PIM and PXM? See our breakdown of how they differ (but are also similar) here.
How to Use the Shopify MCP with Claude, What It Does Well, and How Databox MCP Completes the Picture
Shopify’s MCP servers give Claude real command of your store, from storefront conversations to bulk product updates. Analytics is the one job they were never built for, and pairing them with Databox MCP closes that gap.
AI Marketing Forecasting: The Plan Is Only as Good as the Data It Can See
Ask a Marketing Lead how the quarterly plan actually gets built. Not the strategy, the mechanics. The answer, in most teams, is a spreadsheet: spend pulled from five ad platforms with five different backends, pipeline exported from the CRM, last quarter’s numbers copied from a deck, targets negotiated in a separate thread. One customer described their version of it to us in a sentence that needs no editing.
Building a Playwright AI Agent: How Claude Code Drives Katalon True Platform End to End
Claude Code shipped workflows: reusable, versioned instructions an agent can follow instead of improvising a process from scratch each time. We used that feature to hand Claude Code our entire QA job. Not "write a test case." The whole loop: read the requirement, design the coverage, run it on the platform, file the defect, report back with evidence. The kind of work a QE does in a day, compressed into one skill triggered with a sentence.
API definition-native AI testing: Support faster, confident shipping with your existing Swagger and OpenAPI specification
APIs are the backbone of modern software. They connect microservices, power mobile experiences, and make integrations possible across industries. For all their importance, API testing remains one of the most fragmented, manual, and maintenance-heavy parts of the software development lifecycle (SDLC). So as development accelerates in an AI-disrupted SDLC, application integrity – continuous, measurable assurance that your software just works as intended – becomes harder to maintain, not easier.