Welcome to the 2019 Predictive Analytics World (PAW) Conference Series. Recorded live in Las Vegas, this series is bringing interviews straight to you from exhibitors and speakers at this year’s event. In this interview, host Jamin Brazil interviews Ryohei Fujimaki, Founder and CEO of dotData. Find Ryohei Online: Email: ryohei.fujimaki@dotdata.com LinkedIn dotData [00:02] My guest today is Ryohei with dotData. Actually, you guys have the premier booth location on site at this year’s Predictive Analytics Conference. [00:15] That’s true. [00:16] Yeah, what do you guys think about the show so far? [00:19] Yeah, this show... This is the first time to sponsor this show. And the show is great: like a lot of relevant audiences. And we have the keynote presentation for 20 minutes. It’s very well received. A lot of data scientists are looking for new trend in this industry. So we really like it. [00:37] Yeah, it’s pretty well attended. I really like the layout of it. I feel like there’s a nice cross-pollination between the speaking events that are happening and then the exhibit floor. It’s really well laid out. And the attendee list is pretty good. [00:52] Yeah, that’s true, that’s true. It’s a very good mixture of the technical audience and the business audience. So, we really have the good conversation with a lot about 10 days in our booth. [01:01] Yeah, that’s great. And your booth, by the way, I think is spectacular. It’s the perfect booth kind of as the entry point ‘cause it’s very welcoming and you feel like you just go sit down and have a nice conversation. [01:12] And also, we have the Lunch and Learn Session to talk more about data science automation, particularly for Python users. There are a lot of people standing, taking a lot of memos, and they are taking maybe thousands of pictures. So that’s a very, very good session we had. [01:28] Oh, that’s great. I’m sorry... I’ve been doing podcasts straight through like every 20 minutes or so. So I haven’t been able to attend any of the content, unfortunately, which is very disappointing ‘cause it seems like it’d be interesting. So, dotData, what do you guys do? [01:46] Yeah, so, dotData we are offering end-to-end data science automation. And, basically, we are the first and only company who can automate end-to-end data science process from raw data through data on the feature engineering and machine learning in production. In particular, dotData we have the very strong artificial intelligence technology that automates the feature engineering process. The feature engineering process was told it’s not possible to automate because that’s a black art of domain expert. But we invented the really strong technology, our world is going to explore a lot of business hypotheses with automated expertise. [02:28] So congratulations.
Welcome to the 2019 Predictive Analytics World (PAW) Conference Series. Recorded live in Las Vegas, this series is bringing interviews straight to you from exhibitors and speakers at this year’s event. In this interview, host Jamin Brazil interviews Ryohei Fujimaki, Founder and CEO of dotData.
Find Ryohei Online:
Email: ryohei.fujimaki@dotdata.com
dotData
[00:02]
My guest today is Ryohei with dotData. Actually, you guys have the premier booth location on site at this year’s Predictive Analytics Conference.
[00:15]
That’s true.
[00:16]
Yeah, what do you guys think about the show so far?
[00:19]
Yeah, this show... This is the first time to sponsor this show. And the show is great: like a lot of relevant audiences. And we have the keynote presentation for 20 minutes. It’s very well received. A lot of data scientists are looking for new trend in this industry. So we really like it.
[00:37]
Yeah, it’s pretty well attended. I really like the layout of it. I feel like there’s a nice cross-pollination between the speaking events that are happening and then the exhibit floor. It’s really well laid out. And the attendee list is pretty good.
[00:52]
Yeah, that’s true, that’s true. It’s a very good mixture of the technical audience and the business audience. So, we really have the good conversation with a lot about 10 days in our booth.
[01:01]
Yeah, that’s great. And your booth, by the way, I think is spectacular. It’s the perfect booth kind of as the entry point ‘cause it’s very welcoming and you feel like you just go sit down and have a nice conversation.
[01:12]
And also, we have the Lunch and Learn Session to talk more about data science automation, particularly for Python users. There are a lot of people standing, taking a lot of memos, and they are taking maybe thousands of pictures. So that’s a very, very good session we had.
[01:28]
Oh, that’s great. I’m sorry... I’ve been doing podcasts straight through like every 20 minutes or so. So I haven’t been able to attend any of the content, unfortunately, which is very disappointing ‘cause it seems like it’d be interesting. So, dotData, what do you guys do?
[01:46]
Yeah, so, dotData we are offering end-to-end data science automation. And, basically, we are the first and only company who can automate end-to-end data science process from raw data through data on the feature engineering and machine learning in production. In particular, dotData we have the very strong artificial intelligence technology that automates the feature engineering process. The feature engineering process was told it’s not possible to automate because that’s a black art of domain expert. But we invented the really strong technology, our world is going to explore a lot of business hypotheses with automated expertise.
[02:28]
So congratulations. That is a very hard problem to solve. Do you have a favorite customer story?
[02:36]
Yeah. So, the most favorite story I have is our first customer, of course. That was a very, very exciting moment. Actually, that is the project we kind of decided to launch the company. And that was one of the top 15 banks in the world, a very, very huge bank. And they have the data science team. And their problem is, first of all, they have no sufficient data scientists. It takes a very long time to complete a data science project: each project takes three to four months by a couple of data scientists. What we have achieved in that project was literally we just took out tons of huge table, huge data in the bank, and they applied dotData technology. Just within a day, we delivered the outcomes to the customer. And the outcomes are even better than the result of the data science team. The customer was so impressed and so excited because that is really accelerating their process. It used to take months,