Systems | Development | Analytics | API | Testing

The world of software is undergoing a seismic shift. Large Language Models (LLMs) are no longer a novelty; they are being integrated into a vast array of applications, from customer support chatbots to sophisticated code generation tools. For QA professionals and developers, this represents a new frontier in software testing as well, one that demands a fundamental rethinking of our traditional testing methodologies.

These days, even a 6th-grade student knows about ChatGPT, right? I’m sure most of you reading this blog have tried ChatGPT at some point maybe to help with an assignment, generate some content, or just to play around. It’s truly a game changing innovation that’s helping people in so many ways. But here’s the cool part: instead of only using ChatGPT through the browser, did you know you can also interact with it directly through an API?

Running an oil and gas business today isn’t what it used to be. Have you ever found yourself thinking- These are the real, everyday dilemmas leaders like you face. And as the industry gets more complex, with tighter margins, stricter regulations, and unpredictable market swings, these questions aren’t going away. But what if the answers didn’t lie in doing more, but in doing things smarter? This is where Artificial Intelligence (AI) is beginning to change the game.

By Erez Schnaider, Technical Product Marketing Manager, ClearML.

As a product leader, you're always looking for ways to stay ahead of the curve, meet evolving customer needs, and keep your product competitive. But with tight budgets, growing pressure to innovate, and constantly changing demands, it’s not always easy. Embedding AI-powered analytics into your application can be a powerful way to overcome these challenges and add more value for your users. But why is this approach so crucial, and how can you implement it effectively?

The rapid acceleration of AI adoption is transforming how enterprises design their data infrastructure, driving the need for robust, scalable, and energy-efficient solutions. At Hitachi Vantara, we’re building the future of AI storage by collaborating with NVIDIA to close the gap between data and AI compute. Our mission: help organizations unlock faster, smarter insights with an AI-ready data pipeline.

In design, time has always been more than just a resource — it’s a key metric of competitiveness, and today, it matters more than ever. With generative AI accelerating every phase of product development, the stakes are rising fast, triggering a sharp rise in demand for AI-driven design tools. According to Precedence Research, the global generative AI in design market is projected to grow from $741.11 million in 2024 to over $13.9 billion by 2034, expanding at a CAGR of 34.11%.