Talking to experts has been one of the highlights of this internship. Liaising with colleagues at Ping Things about their innovative projects or speaking with external parties as our market research continues has been really inspiring.
During my time at Ping Things, I was very pleased to build connections and relationships with the Los Angeles Department of Water & Power (LADWP). LADWP ran the Department of Energy funded program, “Smart Grid Regional Demonstration Program,” in collaboration with the University of California, Los Angeles (UCLA) and the University of Southern California (USC).
This project has produced informative use cases to demonstrate the benefits of a smart grid; reduced emissions, lower costs, increased reliability, greater security and flexibility to accommodate new energy technologies. Data has been collected ever since, and I was excited to learn more about the usage of this data and the challenges they faced during infrastructure changes.
The world has a lot to learn from this pilot program. The interview with LADWP has motivated me to reach out more to build community. My role has shifted gears recently to focus on building more demos and samples to appeal to wider audiences.
NI4AI already has so many talented experts in its community. Professors and PHD candidates at UC Berkeley and leading data scientists at Ping Things and its community frequently introduce interesting analysis and tips helping to make data accessible to anyone.
As mentioned in my previous posts, anyone, from data scientists to someone with no prior coding experience, can benefit from the NI4AI platform. You can simply analyze on the site, or you can export data to your preferred analytical platform. This includes users who are interested in further analysis in Python but don’t necessarily have coding or data analysis experiences. The great thing about NI4AI is, they do not need to start taking Python tutorial lessons to use the platform.
In my remaining time at Ping Things, I want to contribute to producing demos and Jupyter Notebooks with sample codings which users can simply “click and run.”
I hope to introduce some of my work next time!