Business Architecture I believe is more a way of thinking. Yes, models come in useful, but without the way of thinking an architect would not know how to use such models.
This is for managers of data science teams, or newer practitioners who'd like to setup a great machine learning and deep learning environment and start working right way on solving cool problems in AI.
Sometimes we make decisions without even conceptually understanding the fundamentals. This could be a dangerous thing. Managers, who control the purse strings, often make decisions on machine learning and AI that could potentially make or break their company. So here's a short intro into machine learning with the hope that this will spur people to learn more about this fascinating topic.
There is a lot of discussion about AI, but as Andrew Ng recently said, that's not enough. Here's an example to prove his point.
Hi. My name is Raj. I have quite a few years of experience in concept modeling and visualization, architecture, AI and machine learning - and continue to learn something new every day.