Presented By O'Reilly and Cloudera
Make Data Work
31 May–1 June 2016: Training
1 June–3 June 2016: Conference
London, UK
Krishna Sankar

Krishna Sankar
Distinguished Engineer - AI, U.S.Bank

Website | @ksankar

Krishna Sankar is a Distinguished Engineer − Artificial Intelligence & Machine Learning at U.S. Bank focusing on augmented intelligence, digital human as well as areas like AI explainability. Earlier stints include Senior Data Scientist with Volvo Cars, Chief Data Scientist at blackarrow.tv, Data Scientist/Tata America Intl, Director of Data Science/Bioinformatics startup & as a Distinguished Engineer/Cisco. He has been speaking at various conferences incl ML tutorials at Strata SJC & LONDON 2016, Spark Summit [goo.gl/ab30lD], Strata-Sparkcamp, OSCON, Pycon & Pydata, writes about Nash Equilibrium, Isaac Asimov and Robots Rules[goo.gl/5yyRv6 as well as has been guest lecturing at the Naval Postgraduate School. His occasional blogs can be found at https://medium.com/@ksankar
They include NeurIPS2018 — Conference Summary [https://goo.gl/VgeyDT], Deep Thinking by Garry Kasparov: The Education Of A Machine [https://goo.gl/9qv671] and Ask not if AlphaZero can beat humans in Go — Ask if AlphaZero can teach humans to be a Go champion [https://goo.gl/vPzN9B]. His other passions are semantic Go engines, flying Drones (working towards Drone Pilot License (FAA UAS Pilot) and Lego Robotics – you will find him at the Detroit FLL World Competition as Robots Design Judge

Sessions

9:00–12:30 Wednesday, 1/06/2016
Spark & beyond
Location: Capital Suite 12 Level: Intermediate
Jayant Shekhar (Sparkflows Inc.), Vartika Singh (Cloudera), Krishna Sankar (U.S.Bank)
Average rating: **...
(2.80, 15 ratings)
Jayant Shekhar, Vartika Singh, and Krishna Sankar explore techniques for building machine-learning apps using Spark ML as well as the principles of graph processing with Spark GraphX. Read more.