Meet the Community

We're headed across the pond for our first H2O AI World London!

Join the greatest minds in AI and data science for this 2-day interactive event packed with deep-dive technical sessions, talks on real-world business use cases and a hands-on training. You'll discover the strategies and insights you need to optimize and transform your business and prepare for the wave of AI.

H2O AI World London is a must-attend event whether you're a newbie getting your toes wet, or an H2O power user. You'll get to network with industry trailblazers and peers that are shaping the future of AI and machine learning.

KeynoteSpeakers

SriSatish Ambati
SriSatish Ambati

Bio: SriSatish Ambati is the CEO and Co-Founder of H2O.ai – makers of H2O, the leading open source machine learning platform and Driverless AI, which speeds up data science workflows by automating feature engineering, model tuning, ensembling and model deployment.

Sri is known for envisioning killer apps in fast evolving spaces and assembling stellar teams towards productizing that vision. A regular speaker in the Big Data, NoSQL and Java circuit, Sri leaves a trail @srisatish.

Linkedin: https://www.linkedin.com/in/srisatishambati/

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Agenda

October 29th, 2018
8:00am

Coffee & Registration

8:00am - 9:00am
9:00am

Get Behind the Wheel with H2O Driverless AI Hands-On Training Part 1

9:00am - 10:30am
10:30am

Break

10:30am - 10:45am
10:45am

Get Behind the Wheel with H2O Driverless AI Hands-On Training Part 2

10:45am - 12:00pm
12:00pm

Lunch

12:00pm - 1:00pm
1:00pm

Deep dive into H2O-3 and Sparkling Water

1:00pm - 3:00pm
3:00pm

End

3:00pm
October 30th, 2018
8:00am

Coffee & Registration

8:00am - 9:00am
9:00am

Keynotes

9:00am - 10:00am
10:00am

Break

10:00am - 10:15am

Business Track

Technical Track

H2O Track

10:15am
10:15am - 12:00pm
12:00pm

Lunch

12:00pm - 1:00pm
1:00pm

Sessions

1:00pm - 3:00pm
3:00pm

Break

3:00pm - 3:15pm
3:15pm

Women and Inclusion in Data Science Panel

3:15pm - 4:00pm
3:15pm

H2O Driverless AI Panel

3:15pm - 4:00pm
4:00pm

Meet the Kaggle Grandmasters Panel

4:00pm - 4:45pm
4:45pm

Closing Remarks

4:45pm - 5:00pm
5:00pm

Reception

5:00pm - 7:00pm

SessionSpeakers

Erin Ledell
Erin Ledell Chief Machine Learning Scientist, H2O.ai
Erin Ledell

Bio: Erin is the Chief Machine Learning Scientist at H2O.ai. Erin has a Ph.D. in Biostatistics with a Designated Emphasis in Computational Science and Engineering from University of California, Berkeley. Her research focuses on automatic machine learning, ensemble machine learning and statistical computing. She also holds a B.S. and M.A. in Mathematics.

Before joining H2O.ai, she was the Principal Data Scientist at Wise.io (acquired by GE Digital in 2016) and Marvin Mobile Security (acquired by Veracode in 2012), and the founder of DataScientific, Inc.

Linkedin: https://www.linkedin.com/in/erin-ledell/

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Arno Candel
Arno Candel CTO, H2O.ai
Arno Candel

Bio: Arno Candel is the Chief Technology Officer at H2O.ai. He is the main committer of H2O-3 and Driverless AI and has been designing and implementing high-performance machine-learning algorithms since 2012. Previously, he spent a decade in supercomputing at ETH and SLAC and collaborated with CERN on next-generation particle accelerators.

Arno holds a PhD and Masters summa cum laude in Physics from ETH Zurich, Switzerland. He was named “2014 Big Data All-Star” by Fortune Magazine and featured by ETH GLOBE in 2015. Follow him on Twitter: @ArnoCandel.

Linkedin: https://www.linkedin.com/in/candel/

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Marios Michalidis
Marios Michalidis Kaggle Grandmaster, Competitive Data Scientist, H2O.ai
Marios Michalidis

Bio: Marios Michailidis is now a Competitive Data Scientist at H2O.ai He holds a Bsc in accounting Finance from the University of Macedonia in Greece and an Msc in Risk Management from the University of Southampton. He has also nearly finished his PhD in machine learning at University College London (UCL) with a focus on ensemble modelling. He has worked in both marketing and credit sectors in the UK Market and has led many analytics’ projects with various themes including: Acquisition, Retention, Recommenders, Uplift, fraud detection, portfolio optimization and more.

He is the creator of KazAnova, a freeware GUI for credit scoring and data mining 100% made in Java as well as is the creator of StackNet Meta-Modelling Framework. In his spare time he loves competing on data science challenges and was ranked 1st out of 500,000 members in the popular Kaggle.com data competition platform. Here is a blog about Marios being ranked at the top in Kaggle and sharing his knowledge with tricks and ideas.

Finally, Marios’ likendin profile can be found here, with more information about what he is working on now or past projects.

Linkedin: https://www.linkedin.com/in/muellermat//

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Branden Mmurray
Branden Murray Kaggle Grandmaster, Customer Data Scientist, H2O.ai
Branden Murray

Linkedin: https://www.linkedin.com/in/bmurr26/

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Sudalai Rajkumar
Sudalai Rajkumar Kaggle Grandmaster, Data Scientist, H2O.ai
Mathias Mueller
Mathias Mueller Kaggle Grandmaster, Data Scientist, H2O.ai
Mathias Mueller

Linkedin: https://www.linkedin.com/in/muellermat/

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Jakub Hava
Jakub Hava Senior Software Engineer, H2O.ai
Jakub Hava

Bio: Jakub (or “Kuba” as we call him) completed his Bachelor’s Degree in Computer Science and Master’s Degree in Software Systems at Charles University in Prague. As a bachelor’s thesis, Kuba wrote a small platform for distributed computing of any types of tasks. During his master’s degree studies, he developed a cluster monitoring tool for JVM based languages which makes debugging and reasoning the performance of distributed systems easier using a concept called distributed stack traces. Kuba enjoys dealing with problems and learning new programming languages. At H2O.ai, Kuba works on Sparkling Water.

Aside from programming, Kuba enjoys exploring new cultures and bouldering. He’s also a big fan of tea preparation and the associated ceremony.

Linkedin: https://www.linkedin.com/in/havaj/

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Mark Landry
Mark Landry Kaggle Master, Competitive Data Scientist & Product Manager, H2O.ai
Training

Training

This will be a hands-on training of our groundbreaking products, H2O Driverless AI, H2O-3 and Sparkling Water. Join your fellow data scientists, developers and engineers in this technical deep-dive of H2O.

Don't forget to bring your laptop and power cord!

Want to get a head start and get behind the wheel of H2O Driverless AI? Request a free trial here.

Venue

Venue

An icon of British hospitality since 1963, London Hilton on Park Lane was the first Hilton hotel to open in the UK. Overlooking Hyde Park, the location is close to West End theaters, historic landmarks and famous shopping districts.

FAQ

Who attends this event?

Designed for data scientists, data engineers and business leaders, H2O AI World London offers something for everyone no matter your skill set or background.

I’d like to speak at H2O AI World London, do you accept speakers?

While we don’t have an official call for papers, we are open to abstract submissions.

Please send your abstract title, abstract and bio to events@h2o.ai.

Are there ID or minimum age requirements to enter the event?

Please ensure you have a government-issued ID to enter the event. We will have a reception on Day 2 which will require those only 18 years old and above to attend as alcohol will be served.

What are my transportation and parking options for getting to and from the event?

The London Hilton on Park Lane is just five minutes from the Hyde Park Corner or Green Park underground stations by foot, or you can take one of the several bus routes from their doorstep. The Heathrow Express rail service runs to London's Paddington Station, where you can take a taxi directly to the London Hilton on Park Lane hotel. The Gatwick Express rail service runs directly to London's Victoria Station, where taxis are also available for the 10-minute car journey.Self-parking is available at the hotel.

Please follow the H2O AI World London signage at the hotel which will guide you to the registration area.

What must I bring to the event?

Please bring your laptop and charger. We'll have power stations throughout the venue.

Do I have to bring my printed ticket to the event?

No, please bring your government issued ID - that's how we'll verify your ticket.

Is my registration/ticket transferrable?

We understand things change. So, if you have to transfer your ticket to a friend or colleague, we can do that for you. No change-fee. No hassle. No sweat. You can contact us at events@h2o.ai.

Still haven't found what you are looking for?

Contact us at events@h2o.ai with any questions related to the event. Please share your ideas about topics or speakers that make you excited.

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