The era of Big Data has passed, and the era of sensory overload – that is, the proliferation of sensor data – is upon us. The challenge today is how to create the next generation of business and consumer applications that transform how we interact with sensors themselves. Applications need to learn from every user interaction and data point and predict what can happen next. The future depends on Machine Learning, as much as it depends on the data itself, to change the way we interact with these systems.
Arno is the Chief Architect of H2O, a distributed and scalable open-source
machine learning platform. He is also the main author of H2O’s Deep Learning.
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.
Arno holds a PhD and Masters summa cum laude in Physics from ETH Zurich,
Switzerland. He has authored dozens of scientific papers and is a sought-after
conference speaker. Arno was named “2014 Big Data All-Star” by Fortune
Magazine. Follow him on Twitter: @ArnoCandel.