Systems | Development | Analytics | API | Testing

React Native OTA Updates: What You Can (and Can't) Deploy Over the Air

Over-the-air (OTA) updates are one of the most powerful tools available to React Native teams. The ability to push changes directly to users’ devices without App Store review, without Google Play approval, without any action required from the user, meaningfully changes how fast a team can respond to bugs and iterate on their product. But OTA updates operate within clear boundaries. Misunderstanding those boundaries leads to two distinct problems.

AI Is Either Reshaping Your Business or Decorating It

At Qlik Connect, one question kept coming up in conversations with leaders: “Which AI vendor should we pick?” But I think that’s the wrong starting point. The better question is: What kind of company do you want to become over the next three years? Right now, most organizations are heading down one of two paths with AI. Some are bolting it onto existing workflows to improve efficiency.

Turn Your Agents Into Kafka Experts with Skills. Live from Current London

Most AI agents are generalists that struggle with the nuances of streaming data and Kafka infrastructure, often leading you down a rabbit hole with many tokens spent. In this session, live from Current London, we’ll show you how to close the context gap with Skills for Kafka: structured files that are playbooks and level-ups for agents to handle complex multi-step tasks like reviewing schema changes, critiquing DLQ policies and auditing topics for best practice. We will walk through how these skills work, demonstrate the different ways to use them (including with MCP servers) in Cursor and Claude.

From Analytics Platform to an AI Operating System: Data Lakehouse in the Agentic AI Era

The lakehouse architecture was developed with the mission to combine the unstructured scale of the data lake with the structured performance of the data warehouse. This shift unified enterprise data and delivered the first true "single source of truth". But in 2026, the mission has expanded.

AI-Powered Personalization in Retail Banking: How Banks Can Deliver Hyper-Personalized Experiences at Scale

Retail banking is quietly undergoing one of its biggest shifts in decades. Customers no longer compare banks to other banks. They compare them to Netflix, Amazon, and every digital experience that already gets them. That expectation has changed the game. This is where AI-powered personalization in retail banking comes in. Instead of offering generic products to broad customer segments, banks can now deliver hyper-relevant experiences in real time.

The High-Velocity Roadmap: Building Mobile Release Confidence

Whether you're just starting your automation journey or looking to level up to AI-driven quality, this session delivers the insights and tools to help your team release better mobile apps, faster. Sauce Labs experts Ashwini Sathe and Senior Solutions Engineer Parth Patel explore one of modern development's biggest paradoxes: AI-powered development has made shipping faster than ever — so why is maintaining quality getting harder?

How to scale AI test automation without losing test visibility

According to SmartBear’s Closing the AI Software Quality Gap study, 93% of teams are already using AI to generate code. The same study found that 60% expect AI to produce nearly half of all code within the next year. This shift in development velocity is already impacting software testing and quality. Most teams say application quality is suffering, and 60% have experienced quality issues in the past year because development is moving faster than testing can keep up.