Filtering by: Afternoon 1

Machine Learning Services Benchmark: choosing the right tools for your application — Inês Almeida
Mar
14
4:30 PM16:30

Machine Learning Services Benchmark: choosing the right tools for your application — Inês Almeida

Implementing a machine learning solution from scratch requires a lot of resource investment before yielding results. It is tempting to look for off the shelf machine learning solutions that are easy to integrate within one’s product instead. In this talk, you will follow a real case example of how the need to solve a specific problem led to doing a benchmark on a series of machine learning services. You will learn how these services compare, and pick up some tips on how to conduct your own benchmarks along the way.

Inês Almeida is a machine learning enthusiast from Lisbon, Portugal, where she has given several talks on the topic, in particular on neural networks. Her goal is to share knowledge that is useful for newbies and experts alike. Inês has a Physics MSc. degree and currently works as a data scientist at Liquid Data Intelligence.

Twitter: @isbalmeida - Linkedin

View Event →
Open source Machine Learning and Predictive APIs — Alex Housley
Mar
14
3:00 PM15:00

Open source Machine Learning and Predictive APIs — Alex Housley

IT decision makers now face an unprecedented challenge — and opportunity — to help their organization build a one-to-one relationship with customers and gain actionable insights. Machine learning and deep learning technologies that were previously reserved for companies such as Google and Amazon are now open-source. But open source machine learning is a fast moving target, with game-changing developments even in the six months since PAPIs 2015. To follow on from my talk in Sydney about our journey taking Seldon from a closed predictive API to an open source machine learning platform, I will provide fresh insight with applied examples to help decision makers stay in control, and identify opportunities for value creation.

Alex Housley (CEO of Seldon.io) is a serial entrepreneur on a mission to establish the new open standard for predictive AI, to make the world a more personalised, productive and fun place. He is the co-creator of the Genome Laser, which sequenced the inventors of the laser and high-speed genome sequencing and blasted their DNA into space with an enormous laser.

Twitter: @ahousley - Linkedin

View Event →
How to build a successful data team — Florian Douetteau
Mar
14
2:30 PM14:30

How to build a successful data team — Florian Douetteau

As you walk into your office on Monday morning, before you've even had a chance to grab a cup of coffee, your CEO asks to see you. He's worried: both customer churn and fraudulent transactions have increased over the past 6 months. As Data Manager, you have 6 months to solve that. 

As Data Manager, you know the challenges ahead:

  • Multitudes of technology choices to make
  • Building a team and solving the skill-set disconnect
  • Data can be deceiving...
  • Figuring out what the successful data product must be

The goal of this talk is to provide some perspective to these topics

Florian works in the “data” field since 01’, back when it was not yet big. He worked in successful startups in search engine, advertising and gaming industries, holding various data or CTO’s role. He started Dataiku in 2013, his first venture as a CEO, with the goal of alleviating the daily pains from the data enthusiasts and let them express their creativity.

Twitter: @fdouetteau - Linkedin

View Event →