In today’s hyper-connected world, systems are more intertwined and complex than ever. Myriad data sources including applications, databases, network and IoT devices continuously generate vast amounts of data, capturing every event and interaction. Imagine harnessing this data–login logs, firewall logs, IPS logs, web logins–aggregating it, and analyzing it to create a holistic view of your entire infrastructure.

SQL Server is a modern relational database management system. It helps data teams store and manage vast amounts of data. However, organizations need efficient methods to access and manipulate this data to leverage it fully. This is where SQL Server APIs come into play. APIs, or Application Programming Interfaces, act as intermediaries enabling different software applications to communicate.

Gone are the days when selecting software was as easy as comparing two different providers and choosing either of them based on how the box looked (yes, software used to come in boxes). Today, selecting the right tool requires careful evaluation of several requirements, including your budget, how your team is built, your tech stack, and projections for future growth (scalability).

Much has been said about how generative AI will impact the healthcare and life sciences industries. While generative AI will never replace a human healthcare provider, it is going a long way toward addressing key challenges and bottlenecks in the industry. And the effects are expected to be far-reaching across the sector.

‘API first’ is not just a buzzword—it’s a transformative framework essential for building agile and resilient applications in our interconnected digital age. Opting for an ‘API first’ strategy ensures that APIs, which are the backbone of communication between different software services, take priority in your development pipeline.

This year’s Qlik Connect was officially my 10th Qlik annual user conference… From Qonnections to Qlik World to Qlik Connect, you could assume I have seen it all already, but I can honestly say that this one was the best (and most fun!) yet. But don’t take my word for it. The buzz from our wonderful community of Qlik partners and customers speaks for itself.

In the world of natural language processing (NLP), the dream has always been to create systems that can understand, analyze, and generate human-like text. The good news is we are getting closer to this aspiration, thanks to innovations in artificial intelligence, particularly through platforms like OpenAI. In this article, we’ll explore text analysis with OpenAI, exploring the methodologies, tools, and metrics utilized to decipher the complex tapestry of human language. Let’s get started.

Application Programming Interfaces (APIs) integrate diverse software systems and enable seamless communication. 98% of enterprise leaders agree that APIs are essential to an organization’s digital transformation. But just having APIs isn’t enough; it’s equally important to provide clear instructions on how to use them. Think of API documentation as the user manual that comes with a product—except, in this case, the product is code.

In today's rapidly evolving software testing landscape, maintaining high-quality assurance standards is more critical than ever. Test Case Management plays a pivotal role in ensuring that software meets user expectations and functions flawlessly. Whether you're a QA professional, a software tester, or a developer, understanding and effectively implementing Test Case Management can significantly impact your project's success.