Systems | Development | Analytics | API | Testing

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Building Smarter Developer AI Agents: QA Automation for Seamless Next-Gen Software Evolution

AI code generation is at a Pareto threshold. The first 80%—writing simple, functional snippets—is relatively straightforward. But the last 20%? That’s where it gets tricky. Building resilient, adaptable systems isn’t just a technical hurdle; it’s a leap of imagination and engineering, similar to the journey toward self-driving cars. Remember when everyone thought fully autonomous vehicles were “just around the corner”?

Supercharging Data Lakes: GenAI & Snowflake Advantage

In today’s GenAI-driven world, having the right data foundation is essential to unlock the full potential of AI. Traditional on-premise data lakes often fall short in scalability and agility, while even many cloud-based solutions struggle with reliability, performance, and governance. Join Ruchi Soni in this webinar to explore how Snowflake is democratizing access to data and intelligence with AI and large language models (LLMs).

Expert Advice on Integrating APIs with Legacy Systems in 2025

Application programming interfaces (API) play a critical role in the digital ecosystem. This online middleman allows software systems to communicate with each other. But what is it exactly, and how does it work? Case in point: When you use an app to check the weather today, the API pulls data from the weather service and shows you the information on your device.

AI Regulation: More an Adoption Accelerator Than a Brake

The emergence and growing adoption of generative AI and the agreement to and implementation of the EU AI Act uncannily coincided. These two factors have catalyzed an AI renaissance within many enterprises. Yes, companies were already applying AI here and there across their organizations — but responding to the impact of these two exogenous forces required a whole new way of thinking and doing. All of a sudden, all eyes were on AI.

AI Alone Won't Improve Productivity or Velocity

AI tools promise to revolutionize everything, but are they making us smarter or lazier? Here are the questions I still have about the real impact of AI in development. Are teams using AI to augment their work or replace themselves entirely? Process and social change are a no-brainer, but are we keeping up? Are we adapting or coasting? And the big question: As AI gets smarter, are we dumbing ourselves down, losing our grip on what it means to understand?

Why does everyone seem to equate AI with generative AI these days? #AI #TechTrends #Xray

AI is so much more than that—it spans numerous fields, from machine learning to predictive analytics, computer vision, natural language processing, and beyond. Are we narrowing the conversation too much? Check out the full episode for more insights.