Systems | Development | Analytics | API | Testing

When Brendan Eich created JavaScript in just 10 days in 1995 for Netscape Navigator, the Date implementation was borrowed directly from Java — and Java had in turn taken it from java.util.Date, which already had its own serious problems. The result was an API that shipped to the world with factory-installed defects.

From Epic EHR to HL7 files, EDI transactions, FHIR APIs, and secure on-premises data, Fivetran helps healthcare organizations unify fragmented systems into a governed, analytics-ready data foundation.

Website teams often use “testing” and “monitoring” in the same conversation, but they solve different problems. Website testing helps teams catch issues before changes go live. Website monitoring helps teams catch issues after the site is already in production.

You ask Claude what your MRR was last month. The answer comes back fast, formatted cleanly, stated with total confidence, and completely wrong. Not because Claude is broken, but because it was guessing. Claude has no live connection to your business data by default. It cannot query your CRM, pull from your ad platforms, or check your billing system. So when a marketing manager asks about their numbers, Claude either refuses or generates a plausible-sounding figure based on patterns in its training data.

When teams start a greenfield application, they often face a simple problem with big consequences. They need to build and test fast, but they do not have production data to work with yet. That gap can slow down development, delay testing, and push teams into risky manual workarounds. In my experience working with App Dev leaders, this is where synthetic data has a clear role. It is not the answer to every test data challenge.

Customer relations excel when support teams can access knowledge at scale.

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.

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.

Pull session feedback, survey responses, and behavioral signals into your warehouse, CRM, or AI pipeline, fully transformed, on schedule, with no engineering required. Mouseflow is one of the most-loved tools for understanding how people actually use your website. Session replays, heatmaps, feedback surveys, and funnel analysis give product, marketing, and CX teams a window into real user behavior, the kind of insight that doesn't show up in event analytics or quantitative dashboards.

The tech world woke up to a major shock when a notorious hacking group, TeamPCP, claimed it had broken into GitHu b’s internal systems. The group is currently selling access to roughly 4,000 of GitHu b's private code repositories on cybercrime forums, demanding a massive $50,000 ransom. If GitHub, the platform holding the code for 100 million developers worldwide, can get hacked through a single employee's workstation, what does that mean for your business?