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Modern Software Development For Today's Systems & Applications
How Thrive Learning Scaled 56K Users with Agentic Analytics
Live from Snowflake Summit '26, tech leaders from around the globe gathered to discover how the world’s most innovative companies are making AI real for business. But few sessions delivered as much raw, practical insight as the one presented by Frankie Woodhead, Chief Product & Technology Officer at Thrive Learning. Heading up a fast-growing, £20m ARR LearnTech business that serves over 500 global customers and 5 million users, Woodhead didn't give a standard product pitch.
Agentic Analytics in Finance: Lessons from Navan and EcoLab
Finance leaders are operating in one of the most demanding macro environments in recent memory. Interest rates are moving faster than most models anticipated, reshaping the cost of capital almost overnight. Supply chain fragility has also turned working capital management into a moving target, and geopolitical uncertainty is changing how you plan for the future. Yet for many finance functions, the analytics stack hasn't kept pace with that urgency.
Practical applications for NeoLoad MCP: 3 use cases
As AI-aided software development lifecycles pick up speed, performance teams are left with the familiar challenge of too much work, too few specialists, and results that take too long to analyze. Over the past year, Tricentis NeoLoad has shipped capabilities designed to address each of these problems directly. What started with Augmented Analysis accelerating root cause identification grew into a fully connected Model Context Protocol (MCP) architecture.
Fluent, Confident, and Wrong: Why English QA Is Not Enough for Global AI Agents
The most dangerous multilingual AI failure is a fluent output that feels native enough to trust, but is wrong enough to mislead.
Inside ANASAC's multi-country SAP transformation
How an agroindustrial leader in Latin America unified ERP across 19 countries.
Open Data Infrastructure keeps your options open
In fast-moving markets, interoperability means you’re never trapped by yesterday’s decisions.
Building Confidence Across APIs and AI Agents with the Swagger Contract Testing Kiro Power
There is a specific kind of confidence that comes with deploying software. Not just “the tests passed” confidence, but the kind that comes from knowing the services your application depends on still behave the way you expect them to. Preserving that integrity becomes harder as systems grow, teams move faster, and AI agents become active participants in delivery workflows.
Why Control Is Your New Competitive Advantage In The Age of AI | Perforce 2026
When AI Starts Shipping Code: Why Control Is Your New Competitive Advantage AI systems are already generating code, creating tests, and orchestrating infrastructure changes across enterprise software delivery. But faster execution without control creates a new kind of risk. In this webinar, Perforce CTO leaders explore why uncontrolled AI execution is emerging as one of the biggest operational risks in modern software delivery — and what leading enterprises are doing about it.
Top Automotive Software Development Trends in 2026
What's driving automotive software development in 2026? Discover key trends, market challenges, and modernization strategies with highlights from our annual report.