Systems | Development | Analytics | API | Testing

Fully automatic retraining loop using ClearML Data Right, so you want to create a fully automatic retraining loop, that you can set up once and then pretty much forget about. Where do we even start?!

You’ve developed an amazing API product. Fantastic. But that’s just the beginning of your journey. Starting an API-first company brings with it a whole host of unique challenges for you to face along the way. Based on Moesif’s own experience of founding an API-first company, we’ve shared some insights below to help you avoid some of the pitfalls and make the most of the opportunities that lie before you. “API-first” can mean different things to different people.

For more details on each of the points, read the article below. After successfully building and testing your iOS app on Codemagic, you may want to upload the build to TestFlight or App Store. Sometimes, you may face a crash that did not happen locally but only when you release the app to your users, either on TestFlight or App Store, making it difficult for you to understand the core problem behind the crash.

Corporations are generating unprecedented volumes of data, especially in industries such as telecom and financial services industries (FSI). Many organizations are hoping to leverage these massive amounts of data by investing heavily in big data solutions – solutions that they hope can meet business goals such as increasing customer satisfaction, uncovering alternative revenue streams, or improving operational efficiency.

Learn what an OKR dashboard is, how it helps track and achieve OKRs, and how to create one for your company and team.

Data governance was an exclusive set of skills and tools based on old-school rules until a few years ago. Today, that's changed. While people who manage data still need tools, rules, and protocols to control and secure data use and sharing, three major trends have transformed the data ecosystem. First, the explosion of data from many nontraditional sources (personal devices, sensors, social data, etc.) provided businesses with massive and unprecedented information to dig for insight.

Releasing high-quality products is crucial for developers and QA teams. At SmartBear, we’re always looking for ways to improve the software development lifecycle. We want to help developers and QA teams make the best use of their time before releasing products. Testing web or mobile applications ensures rich, robust functionality. With BitBar, your application works.

We are pleased to announced the release of DreamFactory 4.12.0.

Finance leaders are facing the most turbulent trading conditions for more than a generation. The odds of recession are rising, US inflation has hit a 40-year peak, the “Great Resignation” has denied organisations the people they urgently need to go to market, stock markets have slumped, exchange rates are beyond volatile and, although abating, there is still the threat of a fresh round of Covid. Forecasting business performance has never been so challenging.

This is a guest post by Bill Inmon, an American computer scientist. Many industry leaders recognize him as the father of the data warehouse. Inmon authored the first book, held the first conference, and wrote the first magazine column on data warehousing. He currently focuses on developing the revolutionary technology known as textual ETL.