Enjoy this lesson from the Introduction to Search and Answers course found in the Business User learning path at ThoughtSpot University. This lesson covers the basics of Spotter - AI analyst.
In less than 20 years, mobile apps have grown from a bright new idea to a cornerstone of our daily lives. And while Android accounts for the lion’s share of the market, iOS usage continues to grow exponentially: in 2024 alone, iOS apps and games were downloaded around 35 billion times. The Apple App Store is both a shop window and a marketplace for this global industry. But as iOS developers, how do we actually submit a mobile app to the store?
At a previous company, we had over 100 microservices. I’d make what seemed like a simple change to one service and deploy it, only to discover it broke something completely unrelated. A change to the user service would break checkout. An update to notifications would break reporting. We spent more time fixing unexpected bugs than shipping features. The problem was our test scenarios were too simple.
In Part One, we discussed how QA debt builds silently over time - causing slower releases, late-night firefights, and unpredictable test cycles. The next step is understanding how much debt you have and where it hides. This post goes deeper into measuring QA debt - what to track, how to collect data, and how to use those insights to create a sustainable plan for improvement.
Proven in successful customer trials, new platform capabilities embed powerful agents into processes and empower business users to modernise legacy apps with ease.
Watch this demo to learn how SmartBear’s winning project at SAP’s 2025 ALMathon brings AI-powered testing directly into SAP Cloud ALM. At this hackathon, SAP challenged teams to build innovative extensions. The SmartBear team delivered a cloud-first, AI-native solution that eliminates manual testing bottlenecks while aligning seamlessly with existing workflows. In this demo, you’ll see how our integration enables.
In this episode of The AI Forecast, Tom Harshbarger, Director of Cloud and AI Strategy at Arrow Electronics, joins host Paul Muller to unpack what it really takes to build enterprise AI solutions that deliver value. From navigating an immature market to choosing the right partners, Tom shares hard-earned lessons from decades in the industry on how to start small, experiment intelligently, and scale with confidence.
When should you actually use async and await in Swift? Waiting for external data (like APIs or images) Long-running tasks (saving, processing, or calculations) Learn how to use them without freezing your app again.