BigML News, Issue #26, April 2017
BigML - Machine learning made easy

2ML is a Machine Learning event co-organized by Barrabés and BigML to be held on May 11 in Madrid, Spain. 400 business and technical decision makers will gather to hear some of the brightest minds in the ML field while discovering the impact that Machine Learning has across business sectors and functions, such as Finance, Telecom, Technology, Marketing, Sales, Sports, and Industry.

2ML: Discover the Applications of Machine Learning for your Business

Machine Learning: Past, Present and Future - by Prof. Thomas Dietterich, Chief Scientist at BigML.

This talk will dive into the Machine Learning technology and its evolution. Going from its first steps as Data-Driven Software Engineering, analyzing the role of ML for Data Science, the ML trend for Optimizing Operations, and finally the focus of ML in the future.

Machine Learning in the Real World: The Missing Pieces - by Adj. Prof. Susanna Pirttikangas, Senior Research at University of Oulu. 

As a side product of digitalization, we get a lot of data that could optimally be used outside their primary purpose. This presentation brings insights on how to find value with this secondary data.

Solve for X with AI: a VC View of the Machine Learning Landscape - by Ed Fernández, Partner & Co-founder at and Board Director at BigML. 

In this session we will provide an overview of the Machine Learning landscape, current M&A and Venture Capital trends and rationale, startups to watch and the implications of Machine Learning technologies for the 99%.

Decentralized Intelligence. Keep the Dream and Avoid the Nightmare - by Luis Martín, Chief Executive Officer at Barrabés. 

With more and more data, devices and processes expanding in time and space the current computational models will need to evolve to have more centralized and decentralized capabilities at the same time. To make this work we need new structures in the approach to data, transactions and infrastructure.

From 0 to Machine Learning in a Few Clicks - by Poul Petersen, Chief Infrastructure Officer at BigML.

So you've heard of Machine Learning and are eager to make your first data driven decision? In this presentation you will see the quickest way to get started with Machine Learning as well as some examples of the type of end-to-end predictive applications that can be built quickly using a ML API, saving you the grief of trying to productize a roll-your-own solution when it is time to put your models into production.


2ML offers four parallel sessions that analyze the impact of Machine Learning in specific business sectors. Choose your preferred option when you register for the event.  

Democratizing Active Investment Thanks to Machine Learningby Jean-Marc Guillard, Chief Executive Officer at Stats4Trade.

Machine Learning Delivering Business Impact in Human Research Managementby Auke IJsselstein, Lead HR Analytics at ABN AMRO.


Deep Learning Attractiveness and Fact-Checkingby Joan Serrà, Machine Learning and AI Researcher at Telefónica R&D.
The two Ways to Recognize Malwareby Libor Morkovsky, Data Analytics Lead at Avast.


Machine Learning Across all US Householdsby Seamus Abshere, Chief Technology Officer at Faraday


Decoding the Gameby Raúl Peláez, Head of Sport Technology at FC Barcelona.


Using Analytics to Improve Industrial Processesby Perttu Laurinen, Chief Executive Officer at Indalgo.

Find out the full agenda as well as other details of 2ML here and register before April 28 to get your tickets 60% off with this promotional code: 3UC5TKQI
BigML is hiring!
We are seeking enthusiastic, energetic and talented people that want to help us democratize Machine Learning and make it easy and beautiful for everyone. Check out the current open positions and join the BigML Team!

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