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Location

Zoopla HQ, The Cooperage, 5 Copper Row, SE1 2LH

When

6:00 PM - 9:00 PM

Website

Zoopla London



DSF Day 2 – Data Science to Production hosted by Zoopla

Zoopla London @
6:00 pm-
9:00 pm
April 9th , 2019, Tuesday
Location:

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 implementing successful data science initiatives. With Gartner estimating that 85% of data projects fail, this is one not to be missed!!

Please click here to apply for a ticket: GET TICKETS

Schedule:

6.00pm – Doors open

6.30pm- Jan Teichmann

7.15pm – Drinks food & networking

7.45pm – Miroslav Batchkarov

8.30pm – Networking

9.00pm – Close

Jan Teichmann – Senior Data Scientist at Zoopla

Summary: 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, a 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 uses 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, geodata, property images and text data sets.

Miroslav Batchkarov – CTO & Co-founder at Teebly

Summary: Gold standard data: lessons from the trenches.

The first stage in a data science project is often to collect training data. However, getting a good data set is surprisingly tricky and takes longer than one expects. This talk describes our experiences in labelling gold-standard data and the lessons we learnt the hard way. We will present three case studies from natural language processing and discuss the challenges we encountered.

Bio: I am the CTO and co-founder at Teebly, a communication platform for high-trust business. I have previously worked as a data scientist and software engineer at several early-stage companies and have taught natural language processing at the University of Sussex.

Address: Zoopla HQ, The Cooperage, 5 Copper Row, SE1 2LH

Due to the popularity of Data Science Festival events, we are now allocating event tickets via a random ballot. Registering here enters you into the ticket ballot for the Data Science Festival Event at COMPANY on April 9th 2019, the ballot will be drawn on the 1st April 2019. Those randomly selected will then be e-mailed tickets for the event, with the joining details.

If you get an allocated ticket, please bring a copy of your paper ticket or your ticket on your phone to the event to check in with your QR code. Tickets are non-transferable.

The Data Science Festival is the first of its kind as the only community led, free to attend Data Science Festival in the UK.

Jan Teichmann
Zoopla
VIEW BIO
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…
Miroslav Batchkarov
Teebly
VIEW BIO
Talk Abstract: Gold standard data: lessons from the trenches The first stage in a data science project is often to collect training data. However, getting a good data set is surprisingly tricky and takes longer than one expects. This talk describes our experiences in labelling gold-standard data and the lessons we learnt…