BIG DATA LDN MEETUPS

Calling all Data Enthusiasts! Big Data LDN Meetups take place at Big Data LDN on 13th November at the Big Data LDN conference & exhibition located at Olympia London.

Speakers at our meetups are global industry experts, from a range of companies, from small agile startups to some of the biggest companies in the world, focusing on how to build a successful enterprise-wide data culture. Meetup speakers explain how to align business objectives with data strategy, it’s a fantastic opportunity to learn from how different companies run their data teams and to meet people from the Big Data LDN community to share experiences and help you drive forward your data strategies.

Expect case studies from pioneers in the field, showing how IT can work with business managers and data analysts to provide the modern infrastructure, analytics tools and data integration that they need. Big Data LDN meetups examine the top use-cases for Big Data and Analytics and provides practical advice on the pitfalls to avoid and how to ensure success.

All meetups are free to attend for Big Data LDN attendees and all skill levels are welcome!

If you would like to speak at a Big Data LDN Meetup you can submit a request here

MEETUP: Reinforcement Learning & Challenges in AI Projects

Wednesday, 13th November 2019

18:00-20:00

AI Lab Theatre

Big Data LDN, London Olympia

BROUGHT TO YOU BY LONDON ARTIFICIAL INTELLIGENCE AND DEEP LEARNING MEETUP GROUP
 

Talk 1: Towards faster Internet with Reinforcement Learning by Viswanath Sivakumar, Researcher at Facebook AI Research
 
Talk 2: Why not to use AI? by Jyoti Mishra, Machine Learning/Natural Language Processing Engineer at Wluper
 
Talk 3: Tackling Climate Change with AI by Vanya Pisinska, Blogger at FairAI.io

Register free to attend

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MEETUP: Accelerating Development in a Cloud World with DataStax and Apache Cassandra™

Wednesday, 13th November 2019

18:00-20:00

Fast Data Theatre

Big Data LDN, London Olympia

BROUGHT TO YOU BY CASSANDRA LONDON MEETUP GROUP
 

Every day, new tools emerge that help developers create better experiences across every aspect of life. These tools accelerate product development, but building easily scalable modern applications in hybrid cloud remains a challenge. This session will describe how DataStax is making it easier to accelerate innovation via new, game-changing technology and deployment options.
 

Speaker: Jonathan Ellis, Co-founder and CTO, DataStax

SPONSORED BY

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MEETUP: Microsoft Data & AI

Wednesday, 13th November 2019

18:00-20:00

Data-Driven LDN Theatre

Big Data LDN, London Olympia

BROUGHT TO YOU BY LONDON - MICROSOFT DATA & AI MEETUP GROUP
 
Looking to learn more about very best and latest of Azure’s analytics offerings? Grab a slice of pizza and come listen and chat with our speakers from Microsoft, our customers and partners for an interactive session to learn about the latest in the Data and AI space.
 
Speakers include: Pratim Das, Head of Data & AI, UK at Microsoft, Chris Santiago from Unravel & Charles Feddersen from Microsoft,

SPONSORED BY

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MEETUP: Beating the Odds & Benchmarking for Data Analytics

Wednesday, 13th November 2019

18:00-20:00

Self-Service Theatre

Big Data LDN, London Olympia

BROUGHT TO YOU BY LONDON PROJECT DATA ANALYTICS MEETUP GROUP
 

Talk 1: Benchmarking And Data Analytics For Improved Project Performance
 
Talk 2: Beating The Odds: How to make your data project or team part of the 15% success story
 
Speakers: Tim Podesta, Consultant & Jan Teichmann, Head of Data Science at Zoopla

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MEETUP: ML Flow & managing the end-to-end machine learning life-cycle

Wednesday, 13th November 2019

18:00-20:00

Customer Experience Theatre

Big Data LDN, London Olympia

BROUGHT TO YOU BY DATA SCIENCE LONDON MEETUP GROUP
 

Typically when we talk about distributed Machine Learning we talk about how we can build models on bigger and bigger datasets, using the extra information contained in that data to build better and better models, and Apache Spark with SparkML makes this process very simple. However, here at Databricks we are more and more seeing a requirement to train a large number of relatively small models. In this talk we will discuss how we solved this problem, using the PySpark PandasUDF method to parallelise the training of over 100k models to solve a predictive maintenance problem..
 
Speaker: Matt Thomson, Databricks

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