Madrid Machine Learning - Machine Learning Conference | 2ML |
Tickets

30% DISCOUNT

30% discount until 24 April.

Machine Learning is going to have an impact on your business, find out why

On the 11th of May 2ML Madrid Machine Learning will take place, where different international experts will explain how this technology is revolutionising all economic sectors. The conference will start with a global view of the origin, present and future of Machine Learning in the corporate environment and will continue with specific presentations on its impact in four key industries.

Finance

Banks’ data equipment is experiencing a natural evolution. Together with artificial intelligence, they are making possible the improvement of the effectiveness of processes and security in banking in the near future.

Telecom & Technology

The most innovative companies support artificial intelligence as a leading method not only for the improvement of the user’s experience, but also to find processes that offer optimal solutions.

Marketing, Sales & Sports

Learning algorithms help the machine to feed on the users’ experience. This involves being able to focus on the customers’ priorities, offering responses and solutions specific to their needs.

Industry

The integration of tools such as Machine Learning and the Internet of Things helps to analyse machine data in real time. This allows optimising companies’ operations, reducing costs and creating economies of scale.

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SPEAKERS

The people in charge of re-programming knowledge.

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Tom Dietterich

BigML

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Susanna Pirttikangas

University of Oulu

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Ed Fernandez

Naiss.io

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Luis Martín

barrabes.biz

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Poul Petersen

BigML

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Jean-Marc Guillard

Stats4Trade

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Auke IJsselstein

ABN AMRO

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Joan Serrà

Telefónica R&D

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Libor Morkovsky

AVAST

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Seamus Abshere

Faraday

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Raúl Peláez

FC Barcelona

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Perttu Laurinen

Indalgo

MORNING

Sessions on how and why Machine Learning will have an impact on your business.

Carlos Barrabés (Presidente Grupo Barrabés) & Francisco J. Martín (Co-Founder & CEO BigML)

Opening Remarks

15'

Carlos Barrabés (Presidente Grupo Barrabés) & Francisco J. Martín (Co-Founder & CEO BigML)

Tom Dietterich (BigML)

Machine Learning: Past, Present and Future

There are many uses to Machine Learning. This technology began as a form of Data-Driven Software Engineering; but a more recent development is Machine Learning for Data Science: its tools can help us understand the many forms of data that are collected by companies, scientists and governments. Another important trend is Machine Learning for Optimizing Operations: for example, logistics, scheduling, advertisement placement, etc. Also, recent advances in anomaly detection are helping us understand when the results of previous Machine Learning cannot be trusted or when changes in the inputs are surprising.

45'

Tom Dietterich (BigML)

Susanna Pirttikangas (University of Oulu)

ML in the Real World: The Missing Pieces

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 to this secondary data.

30'

Susanna Pirttikangas (University of Oulu)

Coffee Break and Networking

30'

Solve for X with AI: a VC view of the Machine Learning landscape

According to CB insights, almost 50% of over 200 AI companies acquired since 2012 had VC funding. Corporate giants entered into an acquisition spree topping 30 M&A deals just in Q1 this year. In this talk 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%.

30'

Luis Martin (barrabés)

Decentralized Intelligence. Keep the dream and avoid the nightmare.

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 de-centralized capabilities at the same time. To make this work we need new structures in the approach to data, transactions and infrastructure.

30'

Luis Martin (barrabés)

Poul Petersen (big ml)

From 0 to ML in a Few Clicks

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

45'

Poul Petersen (big ml)

Panel

45'

BREAK

14:00h to 15:30h – Lunch Break & Networking

AFTERNOON

Parallel sessions on the application of Machine Learning in four industries.

15:30 Democratizing active investment thanks to Machine Learning. Jean-Marc Guillard (Stats4Trade)

16:00 Machine Learning delivering Business Impact in Human Research Management. Auke IJsselstein (ABN AMRO)

16:30 Panel. Jean-Marc Guillard (Stats4Trade) & Auke IJsselstein (ABN AMRO) & Susanna Pirttikangas (University of Oulu) & Clara Gutiérrez (StepOne Ventures)

15:30 Deep Learning attractiveness and fact-checking. Joan Serra (Telefónica)

16:00 The two ways to recognise malwareLibor Morkovsky (Avast)

16:30 Panel. Joan Serra (Telefónica) & Libor Morkovsky (Avast) & Tom Dietterich (BigML) & Álvaro Morón (Barrabés Meaning)

15:30 Machine learning across all US households. Seamus Abshere (Faraday.io)

16:00 Decoding the game. Raúl Peláez (FC Barcelona)

16:30 Panel. Seamus Abshere (Faraday.io) & Raúl Pélaez (FC Barcelona) & Poul Petersen (BigML) & Sari Heinonen (Barrabés Napapiiri)

15:30 Using Analytics to Improve Industrial Processes. Perttu Laurinen (Indalgo)

16:00 Talk II. To be confirmed

16:30 Panel. Perttu Laurinen (Indalgo) & TBC & Luis Martín (Barrabés) & Luis Miguel Ciprés (Barrabés Next)

CLOSING

17:00h to 17:15h – Closing Remarks

17:15h to 18:30h – Cocktail & Networking

LOCATION

Fundación Pablo VI

Paseo de Juan XXIII 3, 28040 - Madrid

Transport

By bus: C1, C2, 132, L06
By metro: Metropolitano (Line 6)

SEE MAP
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