Let’s get something out of the way:Your data isn’t perfect. It never was. It never will be. It’s late. It’s missing. It’s mislabeled. The schema changed without warning. A key field is suddenly NULL for 3,000 rows. And the lookup table you depend on? It got overwritten at 2 a.m. by someone testing a new […]
If Your AI Use Case Needs Perfect Data, It’s Not a Use Case—It’s a Wishlist Weiterlesen »
Ask any AI leader how their last project went and you’ll likely hear about accuracy. F1 scores. AUC. The model “performed well.” Ask them how it’s doing in production, and things get quieter. The truth is uncomfortable but necessary:Most AI doesn’t fail in training. It fails in deployment. Accuracy Is Not a Success Metric In
Most AI Fails in Deployment Weiterlesen »
Spend enough time in the AI space and you start to notice a pattern. There’s a lot of talk about modeling—neural architectures, parameter tuning, accuracy curves, and leaderboard rankings. And yet, when you actually try to bring an ML system into production, the modeling phase feels oddly… smooth. Controlled. Even pleasant. Because the real chaos?It
The Hardest Part of Machine Learning Isn’t the Machine Learning Weiterlesen »
There’s a disconnect we don’t talk about enough.Data systems have gone real-time.Enterprise planning hasn’t. While Kafka pipes millions of events per second and Flink runs stateful computations in motion, most enterprises are still operating on a roadmap that looks like a spreadsheet and moves like a barge. This isn’t just a pace mismatch—it’s a mindset
Real-Time Data Is Real—Your Enterprise Roadmap Isn’t Weiterlesen »
Why real-time systems aren’t luxury infrastructure—they’re how smart businesses stay ahead. Let’s get one thing out of the way:Batch is fine—for laundry. Not for decisions. Most companies still move data the same way they moved it in 2005: extract, load, wait, analyze, repeat. It’s comfortable. It’s familiar. But it’s also a few hours—or days—behind what’s
Kafka Isn’t Just a Queue. And Flink Isn’t Just a Buzzword. Weiterlesen »
Why the future of AI depends on more than fancy prompts and flashy demos? A Useful Tool—But Not a Mastermind Let’s start here: I use GenAI every day. It drafts outlines, rewrites emails, summarizes documents, and helps me explore code ideas at 2 a.m. when my brain stalls. I value the convenience, the speed, the
GenAI Is the Loudest Kid in Class—Not the Smartest Weiterlesen »
Expectations Have Changed—Permanently We live in a world that expects everything now. People track their parcels obsessively. They refresh flight apps every five minutes to check for gate changes. They want instant payment confirmations, real-time fraud checks, and status updates before they even think to ask. The modern customer is impatient—not because they’re difficult, but
Batch Is Fine—for Laundry. Not for Business Decisions Weiterlesen »
When people hear I’m pursuing a PhD in Artificial Intelligence, the reactions are nearly predictable: “You must be incredibly smart,” or “Wow, working on the future of humanity?” The assumptions are flattering—but often far from accurate. The truth? Research in AI isn’t some linear march toward breakthrough innovation. It’s a nuanced, uncertain, often messy process
PhD Diaries: Research Isn’t What You Think Weiterlesen »
Artificial Intelligence continues to redefine industries, promising automation, efficiency, and unprecedented insights. From self-driving cars to generative language models, AI is being positioned as a revolutionary force capable of transforming business and society. Yet, as impressive as these advancements are, there is one fundamental truth that often gets overlooked: technology is only as smart as
Tech Is Only as Smart as the People Behind It Weiterlesen »
As we move into the second quarter of 2025, it is clear that AI and data streaming are evolving at an unprecedented pace. With businesses increasingly relying on real-time insights, AI-driven automation, and event-driven architectures, the way we handle data is undergoing a fundamental transformation. While Generative AI continues to dominate discussions, the true advancements
AI and Data Streaming Trends in 2025 Weiterlesen »