1/n) #automl automated machine learning is shifting a field of #ml from #knowledge centric to compute centric.
It also providing much needed abstraction layer for #businessgrowth and #product folks to directly leverage power of ml without the need of Experts.
It also providing much needed abstraction layer for #businessgrowth and #product folks to directly leverage power of ml without the need of Experts.
2/n) Also from business point of view, it shifts #MachineLearning from fixed cost (Experts, systems, data) to variable cost (pay per use automl). This will result in death nail of many ml teams across Enterprise.
3/n) On top of #automl, if you can integrate #DevOps then you will get modified version of #mlops which means a single engineer with sufficient knowledge and help of cloud can replace team of engineers and researchers. #DigitalTransformation
4) Now scary and self reflection question...
What will the folks working on derivative #ML work will do?
Another up skilling 😕?
New technology?
It's time to think deeper and answer the why question for your current work and #futureofwork.
What will the folks working on derivative #ML work will do?
Another up skilling 😕?
New technology?
It's time to think deeper and answer the why question for your current work and #futureofwork.
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