We hear a lot about deep learning these days. It’s powering medical imaging, fraud detection, predictive maintenance, and more. But here’s what’s often missing from the conversation: who’s actually building these systems for enterprises? Many are product-first, platform-centric, or research-focused. This…
Challenges and Considerations in NLP
If NLP is supposed to understand language and generate insights, why do so many businesses still find it hard to implement effectively? It’s a fair question. In today’s data-driven world, Natural Language Processing (NLP) is no longer a futuristic concept, it’s…