Uploaded July 2022 | Updated September 2026, 2 weeks ago
Greg Tanaka is a computer scientist turned CEO of an AI company. He started coding when he was 6, studied computer science at UC Berkeley, and has built many machine learning applications, he is the the founder and CEO of PIKA group developing ”Forecast as a Service”. He is also the council member of Palo Alto in California, and just finished his campaign for congress. Today we’ll talk about his career journey, forecasting, machine learning in blockchain and political campaigns. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on dalianaliu.com for more on data science.
Daliana's LinkedIn: linkedin.com/in/dalianaliu
Daliana's Twitter: twitter.com/DalianaLiu
Greg's Linkedin: linkedin.com/in/gltanaka/, Twitter: twitter.com/GregTanaka
Greg's DAO: gregtanaka.org/dao
0:00 Intro
00:02:10 how to use video +audio to forecast the retail store traffic
00:07:50 why actionable data drives business values
00:10:00 why you need different modalities of data
00:21:55 why time series forecast is hard
00:26:39 how to make the forecasting more stable
00:28:46 how to troubleshoot the spikes and drops in data
00:36:04 human trading vs algorithmic trading
00:40:07 reinforcement works well with thinly-traded stocks
00:47:36 his vision of machine learning being used in blockchain
00:54:57 why he got into politics
01:05:57 advises for people who are interested in Web3
01:11:04 AutoML and the future of machine learning
01:15:36 things he wished he could learn earlier
Greg Tanaka is a computer scientist turned CEO of an AI company. He started coding when he was 6, studied computer science at UC Berkeley, and has built many machine learning applications, he is the the founder and CEO of PIKA group developing ”Forecast as a Service”. He is also the council member of Palo Alto in California, and just finished his campaign for congress. Today we’ll talk about his career journey, forecasting, machine learning in blockchain and political campaigns. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on dalianaliu.com for more on data science.
Daliana's LinkedIn: linkedin.com/in/dalianaliu
Daliana's Twitter: twitter.com/DalianaLiu
Greg's Linkedin: linkedin.com/in/gltanaka/, Twitter: twitter.com/GregTanaka
Greg's DAO: gregtanaka.org/dao
0:00 Intro
00:02:10 how to use video +audio to forecast the retail store traffic
00:07:50 why actionable data drives business values
00:10:00 why you need different modalities of data
00:21:55 why time series forecast is hard
00:26:39 how to make the forecasting more stable
00:28:46 how to troubleshoot the spikes and drops in data
00:36:04 human trading vs algorithmic trading
00:40:07 reinforcement works well with thinly-traded stocks
00:47:36 his vision of machine learning being used in blockchain
00:54:57 why he got into politics
01:05:57 advises for people who are interested in Web3
01:11:04 AutoML and the future of machine learning
01:15:36 things he wished he could learn earlier










