Systems | Development | Analytics | API | Testing

Have you ever wondered what happens when you visit a website or use an app that takes a long time to load? It seems to take an eternity at times! This is where software testing comes in. Use our load test tool you can test how well a website or app can handle a large number of people, all while using it at the same time.

The future of data integration is no-code data integration platforms, and we have the research to prove it.

There are many factors to keep in mind when thinking about how to keep systems and applications secure. First and foremost is the actual environment where the application is deployed. The environment consists of the Operating System (OS), libraries included with the OS, and software that runs in the background. In a perfect world, an application would have very few or zero dependencies on the environment, thereby eliminating the need to keep dependencies up to date.

Lost in the talk about OpenAI is the tremendous amount of compute needed to train and fine-tune LLMs, like GPT, and Generative AI, like ChatGPT. Each iteration requires more compute and the limitation imposed by Moore’s Law quickly moves that task from single compute instances to distributed compute. To accomplish this, OpenAI has employed Ray to power the distributed compute platform to train each release of the GPT models.

In today's data-driven world, product analytics is crucial in understanding user behavior, improving product features, and driving business growth. However, product analytics alone may not provide a complete picture of user interactions and business performance. Integrating product analytics with other data sources and systems is essential to gain deeper insights and make more informed decisions.

When it comes to choosing a business intelligence (BI) solution vendor for your business, there are a variety of factors to consider. One important area of comparison is the natural language query (NLQ) features offered by different BI vendors. NLQ is increasingly becoming a key capability of the modern self-service analytics experience, as it allows users to ask complex questions of their data, and receive insightful answers in the form of a pre-generated, best practice data visualizations.