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There’s recently been an important debate taking place on LinkedIn around the topic of relational databases, joins and how that impacts a user’s experience with analytics.
Self-driving vehicles, weather forecasting drones, fulfilment robots and robotic surgery are already transforming the lives of millions of people. It is deep learning computer vision (DL CV) — visual sensors coupled with the ability to make instantaneous, human-like sense out of streaming video — that make these applications possible. One might think that acute focus on DL CV applications would be sufficient to yield the necessary breakthroughs and successful industry applications.
As analytics software vendors, we need to do something profoundly different to improve how business users access, consume, and interact with data.
Ever find yourself in your closet searching for an article of clothing or trying to squeeze one more hangers on the rack? I took the better part of the afternoon on Saturday to clean out my closet. It made me realize a few key things. I am a pack rat and this clean up exercise took way longer than I thought. I anticipated the exercise taking 30-45 minutes tops. How hard could it be? What I discovered 3 hours later is I keep too many unnecessary items.
