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Entrepreneur [clear filter]
Sunday, October 22
 

9:00am PDT

Keynote: How to Turn an AI Technology into an AI Business
Moderators
avatar for Steve Schoch

Steve Schoch

Former CEO, Miramax Films
Schoch served as CEO of Miramax Films for five years through the end of 2016, and concurrently served as CFO, a position he held from 2010. He led the building of a new studio company from the Miramax assets purchased from The Walt DisneyCompany in late 2010. During this period of... Read More →

Speakers
avatar for Xavier Kochhar

Xavier Kochhar

Founder and CEO, The Video Genome Project (Hulu)
Xavier Kochhar is the Founder and CEO of The VideoGenome Project® (The VGP), a company whose mission is deeply rooted in the belief that the world's data should be accessible for all to use. The VGP is the largest, broadest, and most granular structured database of video content... Read More →


Sunday October 22, 2017 9:00am - 9:40am PDT
Room D Room D

10:20am PDT

Pioneering the Worlds First Public Data Utility
Offering a new take on the long standing excitement over smart cities, ARGO offers unique public data infrastructure that integrates mission critical datasets to deploy analytics that support municipal managers in moving the needle on important public problems. In building this new public data infrastructure, ARGO proceeds from a fundamental conviction in the importance of public service, an appreciation for historical context in pioneering the new and a pragmatic ethos embracing the “art of the possible” with an “instruction to deliver.” Our core founding team graduated together from New York’s Center for Urban Science and Progress (“CUSP”), a core node in the rapidly maturing smart cities movement.ARGO’s Kraken public data infrastructure builds from its successful integration of water use and contextual information across California’s 410 major urban water retailers, powering the first ever assessment of Governor Brown’s statewide water efficiency targets for 4% of what the state budgeted. Uniquely, ARGO develops and deploys open source analytics in deep collaboration with municipal partners, iterating and even committing code together. Those analytics have already saved over $20 million for participating water utilities and are powering the transformation of the water industry.

Speakers
avatar for Patrick Atwater

Patrick Atwater

Founder and Water Project Manager, Advanced Research in Government Operations
Patrick Atwater serves as project manager for the California Data Collaborative, a coalition of water utilities working together to share metered water use data and ensure water reliability. He has worked as a consulting data engineer for a multi-million dollar venture-backed startup... Read More →


Sunday October 22, 2017 10:20am - 10:50am PDT
Room F Room F

10:55am PDT

“Full Stack” Data Science with R for Startups: Production-ready with Open-Source Tools
In the past 5 years, there has been a rapid evolution of the ecosystem of R packages and services. This enables the crossover of R from the domain of statisticians to being an efficient functional programming language that can be used across the board for data engineering, analytics, reporting and data science.
We’ll illustrate how startups and medium-size companies can use R (or other languages) as a common language for i) engineering functions such as ETL and creation of data APIs, ii) analytics through scalable real-time reporting dashboards and iii) the prototyping and deployment of ML models. Along the way, we’ll specifically identify open-source tools that allow scalable stacks to be built with minimal budgets. The efficiency gained enables small to mid-size teams to provide diverse lateral intelligence across a company.

Speakers
avatar for Ajay Gopal

Ajay Gopal

Chief Data Scientist, SelfScore Inc
Ajay is a DTLA resident who's building his second FinTech Startup Data Science team as Chief Data Scientist at SelfScore. Before that, he built and grew the data science & digital marketing automation functions at CARD.com - a Santa Monica FinTech Startup. In both roles, he has built... Read More →


Sunday October 22, 2017 10:55am - 11:25am PDT
Room F Room F

11:30am PDT

Data Science Innovation in Fintech Startup
Questions:
1) Could you give us a brief introduction about your company?
2)     How have you applied advanced data analytical tools in the Fintech industry? For example, do you find advanced machine learning tools like deep learning, XP boost more useful? Or is it more relevant to gather more information by expanding the alternative data source?
3)     How did you find the opportunities where the traditional financial companies do not cover?
4)     What are the most useful data analysis skills in your companies?
5)     Hi, Ken, there are many rebate websites on the market. What is your advantage in this industry?
6)     Hi, Zhiyao, you worked at Capital One before. What is the big difference between working in a startup and banking industry?
7)     What is your vision for the company and its niche market?
8) How do you view the potential competition from similar startup competitors? Or in the more extreme case some AI/internet giants like Amazon and Facebook are trying to do similar things what would be your strategy for your company. At least I have heard Amazon once was interested in buying capital one to get into the consumer credit market.
8)     How is your opinion about the development of Fintech in the US? Which specific fields do you think has the best potentials?
9)     There are a lot of Fintech unicorn companies in China. What are the differences between the Fintech inChina and US? Population concentration is one factor and how about the “universal” use of what and social media?

Speakers
avatar for Ken Lian

Ken Lian

Founder & CEO, Founder & CEOMoolah Science
Founder & CEO of Moolah Science, ex-Honey BD Director. Author of Adventures Crossing the U.S.A. by Tandem Bike
avatar for Zhiyao Pei

Zhiyao Pei

Business Analytics Manager, Payoff


Sunday October 22, 2017 11:30am - 12:10pm PDT
Room F Room F

12:00pm PDT

Lunch Break
Sunday October 22, 2017 12:00pm - 1:00pm PDT
Room F Room F
 
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