Systems | Development | Analytics | API | Testing

Five years ago, Qlik paved the way in powering our analytics platform with AI, with the introduction of natural language processing and generation. Our augmented analytics capabilities, which now also include fully interactive search, chat, and multi-language support, enabled a generative AI experience before it was cool. Today marks the next step in our AI journey with the launch of a new suite of OpenAI connectors to deliver a ChatGPT experience in Qlik Cloud.

The world is continuously amazed by ChatGPT and its applications. Every day multiple people post the applications of ChatGPT in their respective industries ranging from marketing, copywriting, sales, operations, and more. While we thought about ChatGPT for software testing, we have a mixed bag of opinions. We do not doubt its benefits to the software testing community and at the same time, we are aware of the dangers of blindly accepting every output by the software.

Leaders are taking a closer look at bank stress testing in the wake of recent bank failures. The significant impact of these collapses on the financial system, along with the government's extensive measures to prevent additional bank failures, is increasing the sense of urgency around enhanced regulatory supervision.

AI Chatbots are being talked about everywhere. Product managers rely heavily on collaborations with stakeholders to achieve success with their strategic objectives. These stakeholders include developers, sales teams, marketing teams, executives, and other key players. Yet these stakeholders alone do not guarantee success for your customers and clients. As a product manager, you need to use all the tools at your disposal to add value to their strategies and goals.

Self-service analytics has been a leading priority in the business intelligence (BI) space for years and is likely here to stay. With data-driven culture on the rise, analytics is no longer just for IT teams and data scientists. Self-service business intelligence tools make it possible for personnel across functions to perform analytics-related tasks themselves, dramatically reducing time to insight.

If you want insights into your application's exceptions but don't have time to invest in adding verbose logic to your code, we've got some exceptional news: The AppSignal for Ruby gem 3.4.1 now supports the Rails error reporter! With this change, you can simplify your AppSignal integration, streamline your code and begin reporting errors on the fly without raising an error page and interrupting your user's flow.