H2O.ai

Based in Mountain View, California, H2O.ai is the maker behind H2O, open source software for smarter applications and data products. H2O,[1] written in Java, Python, and R, is an open source software that operationalizes data science by developing and deploying algorithms and models for R, Python and the Sparkling Water[2] API for SPARK. Some of H2O.ai’s critical applications include predictive maintenance, operational intelligence, security, fraud, auditing, churn, credit scoring, user based insurance, predicting sepsis, ICU monitoring and more. H2O’s open source community comprises over 100,000 users and over 10,000 organizations.[3] H2O.ai brings AI to businesses through software by offering enterprise ready solutions in machine learning and predictions.

History

CEO - SriSatish Ambati

H2O's chief executive, SriSatish Ambati, helped start Platfora, a big-data firm that develops software for the Apache Hadoop distributed file system.[4] Ambati was frustrated with the performance of the R programming language on large data-sets and started the development of H2O software with encouragement from John Chambers,[5] who created the S programming language at Bell Labs and who is a member of R's core team (which leads the development of R).[6][7] Ambati co-founded 0xdata with Cliff Click, who served as the chief technical officer of H2O and helped create much of H2O's product. Click helped to write the HotSpot Server Compiler and worked with Azul Systems to construct a big-data Java virtual machine (JVM).[8] Click left H2O in February 2016.[9] Leland Wilkinson, author of The Grammar of Graphics, serves as Chief Scientist and provides visualization leadership.[10]

H2O.ai’s mathematical core is developed with the leadership of Arno Candel, part of Fortune’s 2014 "Big Data All Stars".[11] Before joining H2O, Arno was a founding Senior MTS at [[Skytree]] where he designed and implemented high-performance machine learning algorithms. He has over a decade of experience in HPC with C++/MPI and had access to the world’s largest supercomputers as a Staff Scientist at SLAC National Accelerator Laboratory where he participated in US DOE scientific computing initiatives and collaborated with CERN on next-generation particle accelerators. 

H2O.ai also employs 4 of the top 100 Kaggle grandmasters, including former world # 1 Marios Michailidis.[12]

 

Board of directors:[13]

Sanjay mehrotra – Co-founder and CEO Sandisk

Jishnu Bhattacharjee – Nexus Venture Partners

Ash Bharadwaj – Flextronics, Aricent

Michael Marks – Riverwood Capital, Flextronics

Anand Babu Periasamy – Gluster

Tom Kraljevic – VP Customer Engineering at H2O.ai   Stanford Scientists visiting H2O.ai:

H2O's Scientific Advisory Council lists three mathematical scientists, who are all professors at Stanford University:[14] Professor Stephen P. Boyd is an expert in convex minimization and applications in statistics and electrical engineering. Robert Tibshirani, a collaborator with Bradley Efron on bootstrapping ,[15] is an expert on generalized additive models and statistical learning theory.[16][17] Trevor Hastie, a collaborator of John Chambers on S,[18] is an expert on generalized additive models and statistical learning theory.

 

Partnerships

The organization has partnered with the following corporations to deliver enterprise ready solutions:[19]

Funding

H2O.ai has raised a total of $33.6 million in 4 rounds from 10 investors. Between January 2013 and May 2013, H2O.ai announced that they had raised $1.7 million in venture capital and another $3 million in seed capital as they had started to develop their enterprise ready offerings. In July 2014, H2O.ai raised $8.9 million Series A, led by Ash Bharadwaj, Michael Marks, Rakesh Mathur along with Series A investors: Transamerica Ventures and Jishnu Bhattacharjee of Nexus Venture Partners. In November 2015, the company raised $20 million [20] Series B led by Paxion Capital Partners, along with additional investment from Capital One Growth Ventures, Nexus Venture Partners and Transamerica - bringing the total funding to over $33 million.[21]

 

Products

H2O.ai’s prominent customers are ADP, Capital One, Kaiser, Comcast, Macy’s, Paypal, Transamerica, eBay, Cisco, largely in banking, insurance, healthcare, marketing, and telecom industries.[22]   The company provides software solutions to multitudinous use-cases with their product line-up, as follows:[23]

 

1.     H2O – Open source platform for AI

2.     Deep Water – Frameworks and enterprise support for H2O, TensorFlow, MXNet, and Caffe.

3.     Sparkling Water – Enterprise grade machine learning pipelines using Spark’s data munging capabilities

4.     Steam – Operationalize data science and dev ops with data products

5.     Driverless AI – automated machine learning for enterprises

 

Acknowledgements

1. H2O.ai was named a visionary in Gartner’s 2017 Magic Quadrant for Data Science Platforms [24]

2. H2O.ai recognized as a Strong Performer in The Forrester Wave™: Predictive Analytics & Machine Learning (PAML), Q1 2017. [25]

References

  1. ↑ LeDell, Erin. performance machine learning”, ‘’Department of Statistics, UC Berkeley’’, October 2015. Retrieved on 7 August 2017.
  2. ↑ ”Sparkling Water (H2O) Machine Learning Overview”, ‘’R Studio’’. Retrieved on 7 August 2017.
  3. ↑ , ‘’H2O.ai’’. Retrieved on 7 August 2017.
  4. ↑ Deborah, Gage. "Platfora Founder Goes in Search of Big-Data Answers", Wall Street Journal, 15 April 2013. Retrieved on 7 August 2017.
  5. ↑ Novet, Jordan. "0xdata takes $8.9M and becomes H2O to match its open-source machine-learning project", VentureBeat, 7 November 2014. Retrieved on 7 August 2017.
  6. ↑ "ACM HONORS DR. JOHN M. CHAMBERS OF BELL LABS WITH THE  1998 ACM SOFTWARE SYSTEM AWARD FOR CREATING "S SYSTEM" SOFTWARE", ACM Press Release, 29 March 1999. Retrieved on 7 August 2017.
  7. ↑ J. Chambers and T. Hastie (1991), Statistical Models in S, Wadsworth/Brooks Cole.
  8. ↑ Schuster, Werner. "Cliff Click on In-Memory Processing, 0xdata H20, Efficient Low Latency Java and GCs ", InfoQ, 10 January 2014. Retrieved on 7 August 2017.
  9. ↑ Click, Cliff. "Winds of Change”,  19 February 2016. Retrieved on 7 August 2017.
  10. ↑ Wilkinson”
  11. ↑ Hackett, Robert (3 August 2014), Nusca, Andrew; Hackett, Robert; Gupta, Shalene, eds.. "Meet Fortune's 2014 Big Data All-Stars”,’’Fortune’’,  3 August 2014. Retrieved on 7 August 2017.
  12. ↑ ,’’Kaggle’’. Retrieved on 7 August 2017.
  13. ↑ “Board of Directors”, ‘’H2O.ai’’. Retrieved on 7 August 2017.
  14. ↑ Boyd, Stephen P.; Vandenberghe, Lieven (2004). Optimization”, Cambridge University Press, 15 October 2011. Retrieved on 7 August 2017.
  15. ↑ Efron, Bradley; Tibshirani, Robert (1994). ”An Introduction to Bootstrap”, Chapman & Hall / CRC. ISBN 978-0-412-04231-7.
  16. ↑ Hastie, T. J.; Tibshirani, R. J.; Friedman, Jerome H. (2011). [”Generalized additive models”], Chapman & Hall / CRC. ISBN 978-0-412-34390-2.
  17. ↑ Hastie, T. J.; Tibshirani, R. J. (1990). The Elements of Statistical Learning (second ed.). (Free download of 10th printing, June 2013)
  18. ↑ J. Chambers and T. Hastie (1991). [”Statistical Models in S”], Wadsworth/Brooks Cole.
  19. ↑ “Partners”, ‘’H2O.ai’’. Retrieved on 7 August 2017.
  20. ↑ Lardinois, Frederic. "H2O.ai Raises $20M For Its Open Source Machine Learning Platform", ‘’TechCrunch’’, 9 November 2015. Retrieved on 7 August 2017.
  21. ↑ , ‘’Crunchbase’’. Retrieved on 7 August 2017.
  22. ↑ , ‘’H2O.ai’’
  23. ↑ , ‘’H2O.ai’’
  24. ↑ Linden, Alexander; Krensky, Peter & Hare, Jim et al., "Magic Quadrant for Data Science Platforms", ‘’Gartner’’, 14 February 2017. Retrieved on 7 August 2017.
  25. ↑ Gualtieri, Mike; Sridharan, Srividya & Kisker, Holger et al., ”The Forrester Wave™: Predictive Analytics And Machine Learning Solutions, Q1 2017", ‘’Forrester’’, 7 March 2017. Retrieved on 7 August 2017.

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