Systems | Development | Analytics | API | Testing

Mobile data provides the eyes and ears of a modern business. It helps us understand where our audience is, what they want to know and what they respond to most enthusiastically. And it can make our apps run faster, too. In a world of ever-increasing consumer choice, this kind of stuff doesn’t just matter. It’s crucial. However, while mobile data can lead to new ideas, it can also be very dangerous if not used properly.

Being able to leverage unstructured data is a critical part of an effective data strategy for 2025 and beyond. To keep up with the competition and AI-accelerated pace of innovation, businesses must be able to mine the treasure trove of value buried in the mountains of unstructured data that comprise approximately 80% of all enterprise data — from call center logs, customer reviews, emails and claims reports to news, filings and transcripts.

If you've ever found yourself tangled up in the complexities of setting up CI/CD pipelines, you're familiar with the challenge of mapping code events with build triggers. At times, you may wish to initiate a few checks, while at other times, you prefer to execute several checks at once. It can be slow and, at times, frustrating to ensure that only those CI checks are triggered that are relevant to the code change. A better, more scalable approach? Target-based triggering.

When speaking with platform teams who are responsible for setting up their organizations’ API platforms, we often hear: "We really want to offload the infra side of this. We don’t want our engineers spinning up their own locally hosted infrastructure or asking other infrastructure teams to do this.

Every iOS developer dreams of faster builds, but getting there isn't always straightforward. The reality is, mobile development is a complex process. There are many factors beyond your control—like legal considerations, device compatibility, and app store approvals—that can cause delays and slow things down. The good news is there is one way to speed up your builds without having to cut corners or sacrifice quality: Introducing the Apple M4 Pro Mac Mini on Bitrise.

In this error reporting overview, we'll break down how error reports work, what advantages they offer, and how this process works in Sauce Error Reporting.

AI success demands more than data access; it requires governance, strategy and collaboration across the enterprise.