AI now sits inside most software, whether teams planned for it or not. A recent report from Stanford HAI found that AI adoption jumped from 55 percent in 2023 to 78 percent in 2024.
Hussein Ragy, CEO of BBI, discusses their strong, four-year partnership with Cloudera. He highlights how Cloudera's leading data, AI, and platform capabilities, including for sovereign data and agentic AI, help BBI provide the best solutions for customers' cloud and hybrid architecture needs, emphasizing a unified approach to service delivery.
Last Tuesday, we kicked off our first AI developer meetup of 2026 with a packed room and over 350 signups! This was our first content-focused event since organizing AI Engineer Paris 2025, and it was a great night bringing the AI dev community together to share ideas and learn from some of the most exciting builders in the space. Want to join next time? Follow our global events calendar to stay in the loop. Our meetup's theme was coding agents. We heard from speakers at Koyeb, OpenAI, and LangChain.
The next generation of debugging doesn’t depend exclusively on the quality of AI models, but it’s heavily dependent on feeding AI tools the context they need to be useful. AI coding assistants have transformed how we write code. For example, GitHub Copilot, Cursor, and ChatGPT can generate Stripe integration boilerplate in seconds. They'll scaffold your payment flow, suggest error handling patterns, and even write unit tests.
Ready to implement Snowflake Cortex AI-SQL in your Qlik environment? This technical walkthrough provides step-by-step guidance for building AI-powered analytics applications using two proven architectural approaches. Learn how to leverage Qlik's partial reload functionality for user-triggered AI queries, and discover the advanced analytics connector method for creating fully responsive, selection-aware AI interactions. Master the techniques for passing aggregated data alongside questions to ensure security compliance, honor role-based access controls, and maintain multiple versions of truth across different departments.
See Snowflake Cortex AI-SQL in action with comprehensive demonstrations across the entire analytics lifecycle. This deep-dive video showcases real-world implementations including sentiment analysis on healthcare survey data, emotional classification using the Plutchik Wheel of Emotions, and sophisticated prompt engineering for actionable business recommendations. Watch how Qlik operationalizes these AI capabilities within data pipelines, storing enriched insights as structured data that any user can access—no SQL or data science expertise required.
Discover how Qlik and Snowflake Cortex AI-SQL are revolutionizing data enrichment and analytics accessibility. This introductory video explores how SQL-savvy data engineers can invoke powerful AI functionality at scale—without complex data science programming—using Snowflake's SQL wrapper for AI capabilities. Learn how Qlik operationalizes Cortex AI-SQL across your entire data pipeline, from enriching data in-flight through Qlik Talend Cloud to enabling business users to interact with AI-powered insights through Qlik Sense analytics.
Software development has evolved to a point where updates ship more frequently than ever – sometimes multiple times a week. But rapid releases demand equally fast validation. Traditional full regression cycles take too long and can block delivery, especially when only a small feature or module has changed. Delta testing addresses this challenge by testing just the updated areas of the product. It allows teams to maintain quality while delivering incremental improvements quickly.
Today, we're excited to announce Kong Mesh 2.13. Kong Mesh 2.13 delivers full support for Mesh Identity for Kubernetes and Universal mode. Plus, it's been designated as a Long Term Support release, with support for a total of 2 years. But first, what's Kong Mesh for the uninitiated?
See how easily Konnect Metering & Billing transforms API and AI traffic management into new revenue streams. We've talked about why 2026 is the year of AI unit economics. There, we explored the "2025 hangover" where organizations realized that without financial governance, AI isn't just a science project but has become a margin-bleeding cost center. But "governance" and "monetization" shouldn't just be buzzwords in a resolution; they need to be part of your active infrastructure.