Jan Teichmann


Talk Abstract: Solving the real challenge of Data Science — Productionisation — with proven solutions straight from the front lines.

Making data science a success is really hard with up to 85% of projects and initiatives around big data and data science failing according to Gartner. The reasons are complex but often misunderstood. What is so different about data science that it needs new approaches?
A survey in 2016 concluded that 80% of data science is preparing and cleaning data (the infamous 80/20 rule). That survey of data scientists caught on and developed into the widely recognised problem statement for data science. Unfortunately! Because Productionisation of models is the TOUGHEST problem in data science. This talk will
  • introduce the unique data science requirements and
  • introduce the Rendezvous Architecture, a proven solution to integrate data science and enterprise requirements in a harmonious way at scale

Bio: Jan is a successful leader in the data transformation efforts of companies and has a track record of bringing data science into commercial production usage at scale. He previously co-founded Cambridge Energy Data Lab where they celebrated a successful exit with Enechange.jp, an utility comparison platform, which is now the market leader in Japan Jan is a highly skilled data scientist, data engineer and solution architect. He holds a PhD in Mathematics and offers a strong background in machine learning, statistical modelling and programming. He has extensive experience in big data, full stack development and interactive data visualisations which he uses to deliver engaging and comprehensive data science products which make an impact. He use his skills now to lead the data science team at Zoopla. At Zoopla the data science team is driving great innovations from vast amounts of property market data, behavioural data, geo data, property images and text data sets.

Tuesday April 9th , 2019
6:00 pm-
9:00 pm
DSF Day 2 - Data Science to Production hosted by Zoopla Join us at Zoopla for Day 2 of the Data Science Festival, where we will have an evening focused around taking data science projects to production.  Our speakers, Jan and Miroslav, will dig into the real world challenges of…