H2O World 2015 – Day 3 Highlights

Highlights from talks delivered by machine learning experts from Fast Forward Labs, H20.ai, Kaiser and Macy's at H2O World held in Mountain View.

Twitter Handle: @hey_anmol

h2o-worldThe Machine Learning community gathered last week (Nov 9-11) at Computer History Museum, Mountain View for a very successful conference – H2O World 2015. H2O is the leading open source machine learning platform for smarter applications. H2O.ai was selected as a Gartner Cool Vendor in Data Science for 2015.

During the course of three days, there were many great tutorials and talks, some of them from machine learning industry experts well recognized across the industry.

Highlights from Day 1

Highlights from Day 2

Here are highlights from Day 3:

Hilary Mason, Founder, Fast Forward Labs talked about "Machine Intelligence and Data Products". She stated "When done well data products really do give us super power", since they give the ability to perceive things about the world which are otherwise out of our senses and also act on them. This makes them so exciting. Technology is changing rapidly but human nature stays consistent over years. After showing some cool data products, she mentioned that new data products can be built with data, technical capability and people & process. Data Science is a new professional capability where no one piece of it is new at all. People have been doing math & statistics, programming and communicating for years. Communication skills plays a key role.
We should work on figuring out data that will help us understand various critical aspects of products and business. Based on some assumptions, we should do our best attempt to verify experimentally. It is very critical to know what problem we are trying to solve and how do we know when we've won. Goals for data science teams:
  • Communicate clearly
  • Manage time investment
  • Develop wisdom
  • Look for significant opportunities for experimentation

Talking about "Machine Intelligence" she mentioned "AI is whatever a computer can't do today". AI seems to be moving from things that are purely rules based and repetitive into things which are much more creative and requires dynamic problem solving. She shared her thoughts on the current machine intelligence landscape. What makes a machine intelligence technology "interesting"?
  • A theoretical breakthrough - e.g. progress in one domain that hasn't made it over other applications
  • A change in economics - e.g storage getting so cheaper
  • A capability becomes a commodity - Apache Hadoop
  • New Data is available and made useful
Michael Marks, Partner, Board of DirectorH2O.ai, Paxion talked about "What it will take to be a successful company in the new Digital Age" and here are the key ingredients:
  1. Passion
  2. Focus - Often lost as companies grow
  3. Simplicity
  4. Customer Service
  5. Technology
  6. Profitability
  7. Community