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Sure there will be a (ton??) of startups using these things, but my point is that it will not be nearly as prevalent as general statistics and predictive modeli
by CapmCrackaWaka 7y ago
Sure there will be a (ton??) of startups using these things, but my point is that it will not be nearly as prevalent as general statistics and predictive modeling. Which one do you think will be more common:
1) companies using speech recognition, NLP, Image recognition, etc.
2) companies using R/Python to help guide their business decisions through predictive models / simpler statistics?
I believe the demand for companies to actually use the fancier parts of machine learning are going to be much fewer than people think. Number 2, on the other hand, is much more generalizable, and is having a much larger effect on the 'average' business than NLP and image recognition.
- m_ke 7y agoOperations research and business analytics will obviously continue to be important but we'll also start seeing machine learning replacing a lot of labor and augmenting a large portion of our daily tasks. It will change how we interact with computers. I used to work at an image recognition API startup and went through an AI incubator with my own company so I got to see the huge range of applications of this technology. At the incubator we had a company automating customer support (acquired by google), another one automating appointment booking and scheduling, sales call analytics using speech recognition, automatic reading comprehension quizzes for K-12, deep learning for radiology, patient tracking/monitoring at retirement homes and hospitals, imitation learning based robotics, deep learning based hedge fund, amazon go like vending machines, fashion analytics, social media analytics/engagement for brands.