Systems | Development | Analytics | API | Testing

Open AI developed Chat GPT, an auto-generative technology for AI chatbots to use in providing online customer support. It employs Natural Language Processing (NLP) and has been trained to generate conversational responses. Textbooks, webpages, and other materials serve as its data source, from which it models its own language for reacting to human contact. When it comes to the IT sector, software testing is one area where Chat GPT is predicted to thrive.

Testing in agile environments require many parts coming together, with mock APIs being a crucial part of this.

SQL or NoSQL? That is the question. Successful companies need reliable, robust databases to handle their day-to-day data management needs. However, with so many technologies on the market, it can be difficult to know which database provider is right for your company. Firebase and MySQL are two database solutions built very differently.

A guide to finding the happy balance between enough governance to tame data chaos and enough self-service to empower stakeholders.

What metrics should you include in your healthcare KPI dashboard? According to 8 healthcare businesses/agencies, here are the 18 most important ones.

Worried about your bounce rate? This article tells you whether your bounce rate is good or it needs to be improved (we’ll also show you how)

2023 is looking likely to be a breakout year for artificial intelligence (AI) and machine learning (ML). Some industry-watchers predict that recent breakthroughs in AI might lead to a new revolution in society akin to the industrial revolution, the invention of the internet, or the advent of the smartphone. Yet, 2023 doesn’t mark the invention of AI—just the year it went viral thanks to OpenAI’s ChatGPT technology.

We are thrilled to announce that the new DataFlow Designer is now generally available to all CDP Public Cloud customers. Data leaders will be able to simplify and accelerate the development and deployment of data pipelines, saving time and money by enabling true self service.

We just announced the general availability of Cloudera DataFlow Designer, bringing self-service data flow development to all CDP Public Cloud customers. In our previous DataFlow Designer blog post, we introduced you to the new user interface and highlighted its key capabilities. In this blog post we will put these capabilities in context and dive deeper into how the built-in, end-to-end data flow life cycle enables self-service data pipeline development.

Depending on which article you read, we’re either headed for a deep recession or may avoid one altogether. With so many economic indicators and mixed signals, it’s anyone’s guess. One thing is for sure – managing software testing capacity in light of hiring freezes and layoffs is top of mind for software engineering leaders. Even if your company has the budget to hire in-house, building a software testing team while navigating macroeconomic uncertainty is difficult.