Systems | Development | Analytics | API | Testing

Picture this: you’re testing online registration forms, and you need to ensure that every input field in the form is working as expected. To do this, you build a manual test for one input field. And then another for a second. And then another for a third…and so on. Thankfully, this scenario isn’t likely to come true, and it’s all thanks to data-driven testing.

In the life sciences industry, where breakthroughs in research and healthcare are fueled by data, data silos can be a big problem. Data silos might be caused by things like legacy systems, departmental divisions, disparate data formats, or lack of interoperability standards. Data silos can manifest at any point in the product lifecycle and make it hard for the right people to access and use the information they need, when they need it.

Executives across various industries are under pressure to reach insights and make decisions quickly. This is driving the importance of streaming data and analytics, which play a crucial role in making better-informed decisions that likely lead to faster, better outcomes.

Explore why Bitrise is the top choice for mobile app developers seeking powerful alternatives to the retiring Visual Studio App Center. Dive into why, and read our migration guide.

No longer a far-off dream found only in science fiction, flying vehicles are taking off alongside the advancement of drones and other aircraft. Soon, we hope to see the regular development of personal flying cars and services like electric air taxis. But, while the Urban Air Mobility (UAM) market is poised for immense growth in the next decade, vehicles zipping about through the air raise obvious safety and security concerns.

Cloud Functions will revolutionize your data pipeline.

Underperforming AI programs/models built using low-quality or inaccurate data cost companies up to 6% of annual revenue on average.

Palo Alto Networks used BigQuery ML to automatically identify and label the owner, environment, and cost center for each of its cloud projects.

Data engineers and architects are being asked to do more with their enterprise data than ever before. Yet, the knowledge gap between what businesses want to do with data and how they can accomplish it is growing daily—especially considering today's AI hype cycle. With all that noise in the market, it's easy to see how organizations struggle to keep pace with innovation.

The latest release of decK's APIOps features with the Kong Ingress Controller advances API management and automation in Kubernetes environments. This blog post delves into how this integration streamlines operations, ensuring a more feature-rich API lifecycle management.