We look forward to seeing all of you at the H2O Open Tour, here in NYC! In case you were wondering, the attire for this week is casual. Come comfortable and excited, as we will be the same!
H2O is popping up in the Big Apple, taking your clicks to the bricks for valuable face-to-face time with the community. Whether you’re just getting started with H2O or you’re a power user looking to expand your knowledge and skillset even more, join some of the greatest minds in machine learning and data science to learn how to transform your business. Are you a Data Scientist? Data Engineer? Business Analyst? We’ve got something for everyone. Whatever your stripes, you’ll walk away knowing how to do more with your data. The countdown is on - don't let time run out!
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Deep Learning is quite the rage these days and we want to figure out which Deep Learning package is the best, if any. We're bringing together experts to give talks on Tensorflow, Caffe, Mxnet and H2O. We hope to learn about each of their implementations and follow it up with a panel to understand how to get the best of them all.
Sri Ambati
CEO and Co-Founder
Manuel Salgado
Sr. Data & Analytics Manager
Allison Baker
Data Scientist
Karthik Aaravabhoomi
Director, Enterprise Data Services
Arno Candel
Chief Architect
Amy Wang
Data Scientist & Hacker
Tony Chu
Product & Interaction Designer
Ken Sanford
Analytics Architect and Evangelist
Fonda Ingram
Performance Technical Manager
Matt Dowle
Hacker
Ashrith Barthur
Security Scientist
Peter Evans, PhD
Vice President
Venkatesh Yadav
Solutions Architect
Bill Gallmeister
VP of Engineering
Tom Kraljevic
VP of Engineering
Bernard Burg
Data Scientist
Fabrizio Milo
Sr. Software Engineer
Cyril Nigg
Sr. Director of Data Science
Qiang Kou
R/C++ Developer
Subbu Thiruppathy
Senior Software Engineer
Ryan Zotti
Senior Data Engineer
Francesc Lopez-Giraldez
Director of Bioinformatics, Yale
Cyprien Noel
Research Engineer*Subject to change*
Sri Ambati, co-founder and CEO - H2O.ai
AI is transforming the world. And businesses are beginning to undergo this transformation as well. Software is eating the world, and AI is eating software. Sri Ambati, our CEO and co-founder lays out the vision for AI and it’s applications. Also hear from him about what’s coming up next for H2O.
09:30 AMArno Candel, Chief Architect, H2O.ai
Arno will talk about what's new in H2O including all the new advancements in the algorithms.
10:00 AMBill Gallmeister, H2O.ai
See a demo of our new AI platform - Steam, including all of its components like ElasticML, Model Manager and Scoring Server.
10:15 AMTom Kraljevic, H2O.ai
Sparkling Water 2.0 brings a lot amazing things including support for Scala in Flow, visual intelligence for MLlib and much more.
Slides | Video
10:30 AMMatt Dowle, H2O.ai
Matt is going talk about H2O's data munging compares against the best of class including Sparkl SQL, Impala, data.table and more.
Slides | Video
11:00 AMTony Chu, H2O.ai
Tony will talk about creating interfaces and experiences for AI which bring interpretability and context to data products.
11:15 AMKen Sanford & Fonda Ingram, H2O.ai
Ken and Fonda will talk through how organizations are embracing open source machine learning and AI platforms and what strategies to use to make the transformation easier.
11:30 AMAmy Wang, H2O.ai
We’ve packed a whirlwind for the next 90 minutes to get you up and running on H2O and be able tackle large datasets with an arsenal of algorithms at your disposal. The hands on training will be done primarily in R, but you can follow along in Python (second screen) and H2O Flow as well. You only need a basic understanding of statistics & machine learning. Don’t worry if you get stuck, H2O experts are all over the room to help. For all you power users, look out for “extra credit” exercises and expert tricks and tips on the screen.
1:00 PMTom Kraljevic, H2O.ai
Tom will present a bunch of ways to productionize H2O including batch and real-time scoring, and deployment into different environments.
Slides | Video
2:30 PMAshrith Barthur, H2O.ai
We present solutions on how to make the cyberspace secure through feature-rich, robust, yet lean machine learning-based algorithms that help organizations identify malicious actors, intruders and illegal system access by studying features that arise purely from system login behavior.
3:45 PMTony Chu, H2O.ai
We'll look under the hood of R2D3, a project aimed at giving people without a technical background a sense of what machine learning is. R2D3 received a Vizzie from the National Science Foundation. The project was also an honoree in the 2016 Webby Awards.
4:15 PMVenkatesh Yadav, H2O.ai
In this talk we will share the idea of developing self guiding application that would provide the most engaging user experience possible using crowd sourced knowledge on a mobile interface. We will discuss and share how historical usage data could be mined using machine learning to identify application usage patterns to generate probable next actions.
4:45 PMPeter Evans, Center for Global Enterprise
9:30 AMKarthik Avarabhoomi, Capital One
10:00 AMBernard Burg, Data Scientist, Comcast
Comcast is the third largest Internet provider worldwide, managing massive networks which deliver connectivity and streaming content to millions of customers. Such networks face complex maintenance and troubleshooting issues. We use Machine Learning to analyze and model error patterns to continuously assess the health of our network and ensure a smooth experience for every user. This is supported with a Decision Engine, which can be configured to take appropriate remedial actions such as customer notifications and self-healing directives.
We describe the architecture capable of scaling and handling billions of events per day and explain how H20 helps to implement the underlying learning models. We illustrate the superiority of H2O algorithms in all of the following: accuracy, speed and memory footprint with comparisons to other systems such as Spark ML.
10:30 AMAllison Baker, Data Scientist, Hospital Corporation of America
Data Scientist Allison Baker and Development Manager of Data Products Cody Hall work with a talented team of data scientists, software engineers, and web developers, and are building the framework and infrastructure to support a real-time prediction application, with the ability to scale across the entire company. Paramount to these efforts has been the capability of integrating the architecture for software production with the predictive models generated by H2O. This talk will review the processes by which HCA is building a pipeline to predict patient outcomes in real-time, heavily relying on H2O’s POJO scoring API and implemented in Clojure data processing.
11:00 AMFrancesc Lopez, Yale
The so-called “next-generation” sequencing (NGS) technologies allows us, in a short time and in parallel, to sequence massive amounts of DNA, overcoming the limitations of the original Sanger sequencing methods used to sequence the first human genome. NGS technologies have had an enormous impact on biomedical research within a short time frame. This talk will give an overview of these applications with specific examples from Mendelian genomics and cancer research.
11:40 AMCyril Nigg, Catalina Marketing
1:30 PMRyan Zotti, Capital One
Subbu Thiruppathy, Capital One
A team of data and software engineers and data scientists at Capital One are experimenting with various technologies to enable lightning-fast promotional content that visitors will see when they visit Capital One’s website looking to apply for a credit card. In this presentation we’ll first talk about some of the technologies that we’re exploring such as the Akka-based Play framework, and H2O, a popular open source machine learning library. We will explore our evolution of data science and the H2O tools used to create the groundwork for continuous and automated testing and optimization, with the ability to scale across the entire company. Then conclude with a quick demo followed by a few tips and tricks that we learned along the way.
2:10 PMCyprien Noel
Hardware once reserved to HPC systems is entering the datacenter. Cyprien will describe an effort to help developers leverage its new capabilities. Its integration to H2O, along with tools like Caffe, is accelerating and making the platform more powerful.
2:30 PMFabrizio Milo, Sr. Software Engineer, Entropy Source Consulting
An overview of Tensorflow, and then we'll walk through how to utilize this library within the H2O platform. Tensorflow is an open source, deep learning framework utilized by Google and Deepmind.
3:10 PMH2O is coming to YOU! In place of a single H2O World this year, H2O is on the go, taking our show on the road. The H2O Open Tour is bringing the community more opportunities to learn, connect and grow across the country.
Join us at H2O Open Tour NYC 2016 to:
The minds behind H2O will be on deck to answer your questions and take your feedback.
Schedule a 1:1 appointment with a product expert at our Hydration Station. Participate in hands-on training designed to help you dive deeper into H2O.
You’ll hear directly from people solving and predicting problems at their organizations with H2O. Discover what convinced them to #goH2O.
Come for the learning. Stay for the fun.
Save time and bring your laptop with the latest version of H2O loaded and ready to go! If this is the first time you are installing H2O you can find a handy tutorial with step by step instructions here.
We understand things change and fire drills come up. 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. Can't make NYC but would like us to transfer your registration to an upcoming H2O Open Tour event? We can do that, too. There will only be an increase in fee if you join us for the two-day program in San Francisco or New York. But hopefully this is neither here nor there -and we'll see you in NYC! You can contact us via the form at the bottom of this page or our Eventbrite registration page.
Designed for data scientists, data engineers and business analysts alike, the H2O Open Tour offers something for everyone in our community no matter your skillset.
The H2O Hydration Station is your chance to sign up for 1:1 consultation with a product expert. Signing up for an appointment is super easy! Appointments are scheduled on site at the Hydration Station on a first-come, first-served basis - so arrive early.
You can contact us at events@h2o.ai or via the form at the bottom of this page with any questions related to the Open Tour event. And please share your ideas about topics or speakers that make you excited.
Fill the form below to get directions to our event location
