A blueprint for the modern, AI-ready lakehouse
Determine the exact data lakehouse capabilities you’ll need for your use case, and which vendors offer them.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Databox Analytics MCP for Teams: A Practical Guide
Every team in your company has the same problem: they need answers from data, but getting them is never fast. Marketing wants to know which campaigns are working. Sales wants to know which deals are stalling. Leadership wants to know if the business is on track. Each team asks different questions, but they all end up in the same place—waiting for someone else to pull the numbers. What if your teams could just ask questions and get answers instantly? That’s what Databox MCP enables.
Comparing the Best AI Automation Testing Tools in 2026
Struggling with flaky tests and slow automation? Explore the best AI-powered testing tools of 2026 — and why Sauce Labs stands out.
From Developer Crunch to Synthetic Players, AI is Changing Game Testing
Discover how AI helps continuously test games 24/7, catch bugs earlier, and eliminate dev crunch.
AI inside Yellowfin: What enterprise customers really think
This week, we had a chat with one of our enterprise customers about their thoughts on AI inside their Yellowfin environment. They’re currently running version 9.15 and use Yellowfin as the primary BI layer inside their app.
WebSockets vs HTTP for AI applications: which to choose in 2026
When building AI experiences, choosing between WebSockets and HTTP isn't always straightforward. Which protocol is better for streaming LLM responses? How do you maintain continuity when users switch devices mid-conversation? Should you use both? The answer depends on the type of AI experience you're building. Modern AI applications often require both protocols, each serving different purposes. The key question is: how do you decide which communication pattern fits each scenario in your AI stack?
Featured Post
Reimagining Centralised API Management with Gateway Federation
In today's digital-first economy, APIs are the backbone of modern applications and securing them is essential. They enable innovation, accelerate time-to-market, and drive seamless integration across platforms. Yet, as organisations scale, the complexity of managing APIs across diverse environments such as cloud, on-premises, and hybrid becomes a formidable challenge. Enter API Gateway Federation: a transformative approach to centralised API management that balances control with flexibility.
Build agentic AI in minutes on Snowflake
Agentic AI doesn’t have to mean months of architecture work, custom orchestration layers, or external platforms. In this hands-on workshop, you’ll build Snowflake Intelligence agents using native Snowflake capabilities to reason over structured data, retrieve context from unstructured sources, and execute multi-step analysis directly inside Snowflake within minutes.
Siri 2.0 Delay: Testing Gaps That Just Cost Apple 6 Months
The news dropped this week, and it sent shockwaves through the tech industry. Apple has officially pushed back the release of its highly anticipated Sir i 2.0. Reports from Bloomberg indicate that the update, originally slated for iOS 26.4, ran into severe hurdles during internal review. The culprit wasn't a lack of innovation or features. It was a failure in quality assurance.
The Five Pillars of AI Compliance Excellence
The AI revolution in finance is no longer a question of “if” but “how fast” and “how responsibly.” While our previous posts explored AI auditability frameworks, agentic workflows that transform finance operations, and building AI native Finance teams, today’s CFOs face an equally critical challenge: successfully navigating the complex and rapidly evolving landscape of AI compliance.