Software Testing Built Itself Into a Corner. Intent-Driven Testing is the Way Out.
The quality tax isn't primarily a resourcing problem. It's a paradigm problem. And paradigm problems don't yield to incremental solutions.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Spotter for Industries: Built for Your Business | Full Intro - March Spotlight
Why do most BI tools feel like they were built for someone else? Because they were built to be general—and "general" doesn't cut it in the Agentic era. At our March Spotlight, ThoughtSpot CMO Micheline Nijmeh introduces the unveiling of Spotter for Industries: AI designed from the ground up to understand your specific metrics, workflows, and priorities. We’re moving past the hype to deliver real business results.
Why You Should Stop Buying SaaS and Start Building It
Most founders have a build problem. Very few have solved the distribution problem. That gap is where startups die. When someone comes to me with a startup idea (and this happens more than you’d think), I always ask the same question first.
Why Audit Logs Matter for AI Governance | DreamFactory
Audit logs are essential for making AI systems accountable, reliable, and compliant with regulations. They act as a record-keeping system, documenting every critical interaction within an AI system, such as user prompts, model decisions, and policy enforcement. Here's why they are crucial: Audit logs are not just a legal requirement - they are a key part of managing AI systems effectively and minimizing risks.
Top 12 Platforms for Validating and Handling Errors in CSV Files
The best platforms for validating and handling errors in CSV files combine schema enforcement, real-time error detection, and automated remediation within a unified pipeline. Integrate.io ranks as the top choice for data teams that need enterprise ETL solutions for seamless CSV handling and error detection, offering a no-code interface, robust pre-load validation, and deep connector coverage.
How Manufacturing Leaders Deploy AI Faster with Governance-First Architecture
AI workflows for manufacturing need to be deployed quickly. Quality control systems, predictive maintenance tools, and supply chain optimization algorithms may be going live, yet compliance infrastructure is lagging behind. The result is a familiar pattern: pilots that prove out technically but stall before production because they can’t clear audit, safety, or regulatory review.
March 2026 - Quarterly Product Innovation Webinar
It's time to bring AI off the sidelines and into the center of your operations. Appian's latest product innovations deliver enhancements for scaling enterprise data management, automating complex work, and accelerating modernization with AI. Discover Appian’s latest innovations from this quarter's releases.
Putting AI to Work: Auto Claims Process
Appian embeds AI in your business processes, turning it into a powerful digital worker with goals, governance, and accountability.
Why 90% of AI Projects Never Leave the Pilot Phase? #ai #shorts #softwarearchitect
Struggling to scale your AI? You aren’t alone. Shafrine from WSO2 identifies the bottleneck holding companies back: Data Silos. Without integration, your AI agents lack the "context" needed to be useful in a production environment. Learn how to bridge the gap between a "cool pilot" and a "scalable enterprise agent" by fixing your fragmented workflows.
Insurance Mobile App Development: Compliance, Cost and Future Trands
Insurtech is picking up pace fast. And it’s not only because of new tech coming in, but also because people today simply expect things to be easier, quicker, and more transparent. That said, technology is still doing most of the heavy lifting here. We’re already used to apps simplifying our everyday lives, so when insurance starts doing the same, it naturally feels like the right move. So, what is Insurtech? And why is it expected to reach $152.4 billion by 2030?