Systems | Development | Analytics | API | Testing

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One Workflow to Rule Them All

Let’s say you’re leading a company that receives thousands of documents daily. These documents come in various formats like Excel, PDFs, CSVs, and more. And they differ in terms of layout. Before you can analyze the data, your team spends hours sorting, cleaning, and preparing these documents. Most of their time is spent preparing the documents for integration into business systems. Then, a colleague shares how intelligent document processing helped him save time and boost productivity.

RAG: An X-Ray for Your Data

Retrieval Augmented Generation (RAG) is an intelligent assistant that helps you find exactly what you’re looking for in a pile of medical records. Like an X-ray shows you hidden details inside the body, RAG helps you quickly extract precise information from complex data. RAG provides instant, accurate answers—often visualized in charts or summaries that require analysts to produce manually. RAG combines two AI capabilities—retrieval systems and generative models.

Boosting Release Confidence: Scalable and Secure Testing to Prepare for the Holidays

Delivering high-quality digital experiences during the holiday season is crucial, with 30% of annual revenue on the line. Developers need scalable, secure, and compliant infrastructure to ensure smooth releases and easy software testing. However, over 60% of developers admit to releasing untested code to meet deadlines, risking bugs and jeopardizing customer experience and revenue. Listen to the discussion about how to mitigate risk, catch bugs earlier, and test securely at scale in preparation for a busy holiday season.

How AIOps is Transforming the Future of IT Operations?

Sam Altman, the key visionary behind the popular adaption of Gen AI and essentially the father of ChatGPT, deemed it “unthinkable” to have products and services without AI integration in the future. I’m sure that among other beliefs that inspired him to make such claims, the need for intelligence beyond efficiency in the modern digital ecosystem was a key one. It only makes sense to rethink IT management in this context and replace our traditional methods with the benefits of AIOps.