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Southern California AI & Data Science Conference 2018

Oct. 20, 2018

Los Angeles Convention Center

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60
Speakers
60
Sessions
6
Tracks

Features

SoCal Data Science Conference is a data science learning platform to connect data science enthusiasts. We will demonstrate cutting-edge technology and feature a variety of data science experts covering topics including industry trend, data science application, open-source software, machine learning and many others.
This is the must-attend event for anyone that is already in the field or just looking to expand their career network in the Data Science arena.

Keynotes

A key highlight of the event will be presented by thought leaders in the data science industry. They will reveal the latest trends as well as insights on the future of data scientists.

Sessions

We provide a diverse selection of trending topics through multiple tracks, including Artificial Intelligence, Big Data, Fintech, Healthcare, Startup, Data Analytics, etc.

Training

Our workshops are designed for data enthusiasts to jumpstart their career by building a solid foundation in Python, machine learning, AI tool sets, etc. *Additional fee is required.


Speakers

Avi Sanadhya
Data Engineer at Retention Science
Debajyoti Ray
Founder & CEO at RivetAI Inc.
Harry Glaser
CEO & Co-Founder at Periscope Data
Herbert Roitblat
Principal Data Scientist at Mimecast
Jennifer Kloke
VP of Product Innovation at Ayasdi
Jennifer Prendki
VP of Machine Learning & Data Strategist
Joan Torrez-Saez
Chief Data Officer at Cloud BIRST, Inc.
Kimberly Rodriguez
Data Programs Lead at City of Los Angeles, Department of Neighborhood Empowerment
Laura Noren
Director of Research at Obsidian Security
Michael Housman
Chief Data Science Officer at RapportBoost.AI
Om Patri
Data Scientist at Sense360
Peter Voss
Founder & CEO at AGI Innovations Inc.
Rayaan Arif
Founder of FundingTree.com
Sourav Dey
Managing Director and Head of Machine Learning at Manifold
Wout Brusselaers
CEO at Deep 6 AI

Session Tracks

Attendees have access to a broad range of session talks. Here are some insightful topics covered in this year event:

Artificial Intelligence

  • Artificial Intelligence: Hype, Reality, Vision.
  • Battling Skynet: The Role of Humanity in Artificial Intelligence
  • Deep Learning for Ad Mix Optimization
  • Generating Creative Works with AI
  • Introduction to Deep Reinforcement Learning

Fintech

  • Big Data Credit Assessment
  • Data Analytics Drives FinTech
  • How data science is transforming wealth management
  • Blockchain Application in Real Estate Transactions

Entrepreneurship

  • Pioneering the World’s First Public Data Utility
  • “Full Stack” Data Science with R for Startups: Production-ready with Open-Source Tools

Big Data

  • Deep Learning in Spark with BigDL
  • MCL Clustering of Sparse Graphs
  • Distributed Database DevOps Dilemmas? Kubernetes To the Rescue!
  • Data Science at City Scale
  • Operationalizing Your Data Lake: Get Ready for Advanced Analytics

Healthcare

  • Using AI to Tackle the Future of Health Care Data
  • Potential Solutions from Precision Medicine for the Crisis of Chronic Disease
  • Machine Learning in Healthcare and Life Science

Data Analytics

  • Machine Learning & Data Science in the Age of the GPU: Smarter, Faster, Better
  • Uncovering Feature Importance and Correlations in Human Behavioural Data

Media Partners

Contact us to review the full benefits and details of the partnership package.


Last Year IDEAS Sponsors & Partners

Contact us to review the full benefits and details of the partnership package.


Our Previous Sponsors


Venue

CONFERENCE & EXHIBITION

October 20, 2018 (Sat) 9:00 am – 5:00 pm

Los Angeles Convention Center


Training Sessions

(Time: Oct. 20, 2018 | Location: TBD)

Machine Learning

Duration: 4h

Price: $200

Business Analytics Corporate Bootcamp

Duration: 4h

Price: $200


About Us

OUR MISSION

We build a data science hub to connect real-world knowledge and provide robust resources for business leaders, academic professionals, and promising students. Our vision to foster the data science ecosystem and broaden the adoption of the technology. We empower and accelerate the growth of the community by offering online resources, conferences, latest industry trend and data science job opportunities.