In this talk, I show how Machine Learning is going to change the energy sector and make solar energy more accessible. I also give the example from the banking sector in Vietnam on how Machine Learning can help unbankable people get loans. I conclude by saying that my firm conviction is that Machine Learning has the ability to help those who have been left behind in the previous technological revolution.
Machine Learning: For the people, By the people, Of the people
1. Machine Learning:
For the people, by the people, of
the people
Heidelberg, July 2018
Rudradeb Mitra | AI Entrepreneur, Writer and Mentor
http://www.linkedin.com/in/mitrar/
7. "Imagine a future where energy is cheap,
clean and abundant for all. Where each
home or building is self-sufficient for energy."
-Rudradeb Mitra,
Machine Learning bringing a new era in the Energy sector
https://medium.com/savera-ai/machine-learning-bringing-a-new-era-in-the-energy-sector-distributed-
abundant-and-a-clean-world-cf06365c29ff
22. Global community has to
come together
• Current algorithms rely a lot on data. Data has to be generated.
• IP was driven by code but in era of ML, IP is data driven
• Hard to find people in any given part of the world.
• Trust is low. Esp products built by banks etc are hardly trusted.
24. –Seth Godin
“Companies that emerge from communities serve
the long-term interests of those communities.”
Feel free to contact:
https://www.linkedin.com/in/mitrar/
mitra.rudradeb@gmail.com