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Datathon about pollution in Barcelona

 

A few years ago, when we created Bcn Analytics our vision was Barcelona can become a European analytics hub. Our ambition was to foster that different members of community (business, academia, data professionals) could meet and share experiences and knowledge. Now, 3 years after, we feel proud of we accomplished. We have organised 10 meet-ups where fantastic speakers from great organisations have shared their expertise: we had guests from Google, New York University, King.com, La Caixa, Telefonica, Schibsted, Social Point, BBVA, IPSOS or Vistaprint, among others. We also had the chance to organise two Datathons with Social Point so data scientists could compete to win some prizes while having fun with data.

But when we created BcnAnalytics we also wanted to contribute to make Barcelona a better city. We truly believe data can also be for good. So, we are proud to announce we are co-organising the first “Barcelona Pollution Datathon”. What is the Datathon about? First let me share some data points. According to this article 95% of people in Barcelona are breathing more particle pollution than is recommended by World Health Organisation. If you think about, this is scary. In fact air pollution in Barcelona rises by 48% on public transport strike days, study reveals. We thought we could do something to raise awareness on pollution levels and also get data scientists involved. And we decided to co-organise an event with CCCB, BSC, Leitat and Eurecat. That was the spurn of this first “Barcelona Pollution Datathon”.

The Datathon is going to be part of the exhibition “After the End of the World” which is being organised by CCCBB. Participants of the datathon will have to build a prediction model on Barcelona pollution levels. We have more than 3.000€ in prizes thanks to our sponsors Social Point, Holaluz and Gauss & Neumann. We also have the support of Mobile World Congress.

Datathon will be on January 20th and 21st and registration is now open through this link https://docs.google.com/forms/d/e/1FAIpQLSf6cMswcosinjbC6-VS13Ih4fIYUPaC3LYV5VcOGxLIiK8-IQ/viewform .

Do not miss it and let people know they can make a difference and also have access to great prizes.

Note: this blog entry has been written by Manuel Bruscas, co-founder of BcnAnalytics.  The opinions expressed in this article are the author’s own




Next event: Machine Learning series III

We are pleased to anounce our next event “How start-ups are using Machine Learning to disrupt industries”.

We will have two great speakers in our panel: LongLong Yu (Co-Founder & Head of Research at Wide Eyes) and Aleix Ruiz de Vila (Chief Data Officer at Onna). Both will share the learnings and insights on how their companies are disrupting some industries applying various machine learning techniques.

Bio LongLong Yu: he received the MSc degree in computer vision and artificial intelligence from the Autonomous University of Barcelona (UAB) in 2013. In the same year he co-founded the artificial intelligence and image recognition company Wide Eyes Technologies (Wide Eyes). His career as computer vision and machine learning geek started with human detection for surveillance and face recognition for biometric analysis. Currently, he is Member of the Board and Head of Research and Innovation at Wide Eyes and focuses mainly on image classification, retrieval and object detection for the fashion industry.

Bio Aleix Ruiz de Vila: PhD in mathematics, has applied machine in areas such as transportation, journalism and retail. Currently as Chief Data Science at Onna is responsible for developing and putting in production machine learning models for documents management. Cofounder of the Barcelona R Users Group and Barcelona Machine Learning Study Group meetups, also collaborated with BcnAnalytics

REGISTER HERE

WHEN
Monday, October 30th, 2017 at 19:00 PM (18:45 registration opens)

WHERE
Mobile World Centre – fontanella 2, 08002 Barcelona




Python Hack 17

Are you coming to this year’s PyConEs? Don’t lose the chance to participate in the PythonHack that is organising Kernel Analytics!

We offer three different challenges:
Accuracy Contest: if you want to prove that your models can beat the rest, this is your contest.

Web App solution: for back-end and front-end developers that can give an operative and fancy solution to an open question

Happy Hour challenge: in-person machine learning challenge. Participants will have free drinks during the challenge!
In order for you to assist to all conferences, Kernel is releasing the datasets of the Accuracy Contest and Web App solution one week before the PyConEs begins.

Happy Hour will also take place after Saturday’s conferences end.

Choose which contest you want to participate in and register as soon as you can because there are limited spots.

Here is our website, with detailed information and the registration form: https://hackathon.kernel-analytics.com/#/

Start working soon so you can be one of the fortunate to win one of these prizes 😉

prizes

For any question e-mail us to hackathon@kernel-analytics.com
Hope seeing you in Cáceres!



Next event: Machine Learning series II

We are pleased to anounce our next event and the first in our series: Machine Learning Series II.  It is a great honour to have in our panel Joan Bruna, Assistant Professor at Courant Institute, NYU, in the Department of Computer Science.

Joan Bruna will share the learnings and insights of applying various machine learning techniques to a number of different use cases throughout his career, such as image or real-time video recognition, among others. The conference will combine an initial master class and a debate with the audience.

REGISTER HERE!

WHEN
Wednesday, July 19th, 2017 at 19:00 PM (18:45 registration opens)

WHERE
Aula Capella, ground floor, at Historical Building of Universitat de Barcelona,  at Plaça Universitat, at Gran Via de les Corts Catalanes, 585

Bio. Joan Bruna is an Assistant Professor at Courant Institute, NYU, in the Department of Computer Science, Department of Mathematics (affiliated) and the Center for Data Science, since Fall 2016. He is currently on leave from UC Berkeley (Statistics Department).

His research interests touch several areas of Machine Learning, Signal Processing and High-Dimensional Statistics. In particular, in the past few years he has been working on Deep Convolutional Networks, studying some of its theoretical properties and applications to several Computer Vision tasks.

Before that, he worked at FAIR (Facebook AI Research) in New York, working on Unsupervised Learning. Prior to that, he was a postdoctoral researcher at Courant Institute, NYU, under the supervision of Prof. Yann Lecun.

Joan completed his PhD in 2013 at Ecole Polytechnique, France, under the supervision of Prof. Stephane Mallat. Before his PhD he was a Research Engineer at a semi-conductor company, developing real-time video processing algorithms. Even before that, he did a MSc at Ecole Normale Superieure de Cachan in Applied Mathematics (MVA) and his undergrad at UPC (Universitat Politècnica de Catalunya, Barcelona) in both Mathematics and Telecommunication Engineering.

 

This event could not be possible without the collaboration of Mobile World Centre.

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Machine Learning, reality or myth?

Note: this blog entry has been written by Manuel Bruscas, co-founder of BcnAnalytics.  The opinions expressed in this article are the author’s own

It is no doubt that Machine Learning (ML) has become one of the more prominent and successful fields within Artificial Intelligence (AI). ML is now considered one of the key battlefields for companies such as Amazon, Google, Apple or Facebook. Additionally, money flows from Venture Capital to almost every start-up using ML to disrupt any random industry. As Bill Gates said a few years ago “If you invent a breakthrough in artificial intelligence, so machines can learn (…) that is worth 10 Microsofts“.

Interestingly ML has been here for decades (ask Alan Turing!), but most of the time it seemed to be a slept giant facing a cold and long winter. Now it seems to be fully emerging and expectations are massive. In fact, and according to some experts, we are about to start a new era where machines will replace people in almost every single activity we currently consider “as human” (doctors, lawyers or teachers, your profession is also at risk!). As a result, ML is getting a lot of traction in the media and even an increasing number of philosophers and sociologists are discussing how AI and ML will change the role of human being as we know it. In that regards, I strongly recommend the book “Homo Deus: A Brief History of Tomorrow” by Yuval Noah Harari.

I certainly share the excitement about all the opportunities ML brings (and I do also share the concerns about ML impact in human beings, to be honest). However, I also see the risk of Machine Learning ends up becoming a new bubble. Like the “BIG Data hype” we had a few years ago. You might remember: companies were told they only needed to invest money in BIG DATA and then all their problems would go away. CEOs and top management believed in a brave new BIG DATA world where they only had to plug and play a new infrastructure. Reality has been very different and although BIG DATA has added tremendous value to some organisations, in many others it has only generated disappointment. In most of the cases big-data winners have been some smart vendors who sold the dream and have been squeezing the big-data orange very effectively. As a rule of thumb, I would say anyone using the expressions “Big Data”, “Machine Learning” and “almost real time” in the same sentence is probably a -sorry to say- “bullshiter”. (Note: if that person also adds some comments about an Attribution solution, you probably should watch your pocket!).

So, what is wrong with Machine Learning? Nothing, “per se”. But we must be realistic about what can be achieved with ML “in the near future” and what cannot be achieved (reality versus myths). Unfortunately, there is not a magic button (yet). From my perspective, setting the right expectations is always a good start: we need to be clear about the real potential ML has in our organisations in the next 12-18 months to ensure we allocate the right resources. If we are too bullish we will probably miss expectations and therefore generate frustration. If that happens Machine Learning can face (again) a cold winter.

Also, and given not all companies/sectors are equal, a ML strategic review is highly recommended before moving too quickly into execution: Which business areas could benefit more from ML? Do we really need ML in all the business areas? Which ML initiatives can bring value in the short term and which ones are a long-term investment? We should always bear in mind there are many great projects where you only need “old-school” Analytics / Data Scientists (yes, believe me, you can bring tones of insights without Machine Learning). Last, but not least, companies also need to ensure they appoint the right people to manage Machine Learning Initiatives. Successful organisations will have to create a middle layer between the technical teams and the pure business teams. I call these people “translators”.

In Bcnanalytics we truly believe Machine Learning is a crucial topic. That is why we are organising a series of events and talks to generate debates and discussions which will help the community to better shape this fascinating topic: understanding its potential but also raising its risks. Welcome to the Machine, and as Dave Bowman once said: “Hello, HAL. Do you read me, HAL?”




Next event: Machine Learning Series I

We are pleased to anounce our next event and the first in our series: Machine Learning Series I. In this talk we will know from 2 industry leaders how they are applying machine learning techniques to produce business results.

It is a great honour to have in our panel Alexandros Kartzoglou, Scientific Director at Telefonica Research Jose A. Rodriguez-Serrano Data Science Team Lead  at BBVA Data & Analytics

REGISTER HERE!

WHEN
Wednesday, May 3rd, 2017 at 19:00 PM (18:45 registration opens)

WHERE
Mobile World Centre – fontanella 2, 08002 Barcelona

Alexandros Katzoglou is Scientific Director of Telefonica Research in Barcelona, Spain working on Machine Learning, Deep Learning, Recommender Systems, Information Retrieval. His team includes researchers in the areas of HCI, Networks and Systems. We are creating Machine Learning algorithms for customer data and data generated by Network operations. He received his PhD from the Vienna University of Technology and was a visiting fellow at the Statistical Machine Learning group at NICTA/ANU in Canberra, Australia. He frequently teaches Machine Learning courses at the UPF/GSE with some R, Python, Statistics, Recommender Systems and Deep Learning.

Jose A. Rodriguez-Serrano is currently a Data Science Team Lead  at BBVA Data & Analytics since 2015. Formerly, he was Area Manager of the Machine Learning for Services group at Xerox Research Centre Europe, after being a permanent research scientist since 2010 at the Computer Vision Group. Previously he had been a postdoctoral fellow at the University of Leeds and Loughborough University, UK. He obtained his PhD in 2009 from the Universitat Autonoma de Barcelona and a degree in Physics in 2003 from the University of Barcelona. His main research topics have been image retrieval and learning to represent objects through embeddings of generative models and discriminative embeddings. He has published papers in IEEE Trans. PAMI, IJCV, CVPR or ICCV, among others and has 25 patents and patent applications. His main interest has been to apply state-of-the-art machine learning research to solve problems of industrial interest, and is fascinated by the challenge of making research outcomes simple to use for non-experts

This event could not be possible without the collaboration of Mobile World Centre.

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Next event: Extracting value from Text

We are pleased to anounce our next event: Extracting value from text. In this talk we will know from 3 industry leaders how they are using advanced text mining techniques to create value from unestructured data.

REGISTER HERE!

WHEN
Monday, February 6th, 2017 at 19:00 PM (18:30 registration opens)

WHERE
Mobile World Centre – fontanella 2, 08002 Barcelona

It is a great honour to have in our panel Hugo Zaragoza, CEO at Websays, RJ Friedlander, CEO at ReviewPro and Alberto Robles, CEO at Expert Systems Iberia.

Hugo Zaragoza is the founding CEO at Websays, a start-up pioneering online opinion analytics. His research is at the frontier of machine learning and information retrieval, always pushing the boundaries of search engines and text mining technologies. Before Websays he worked in industrial research for over 10 years both at Yahoo! Research, where he led the Natural Language Retrieval group, and Microsoft Research, where he helped create the MSN Search engine (now Bing). He is the author of 20 patents and more than 50 articles in renown international conferences (such as WWW or SIGIR).
RJ Friedlander is the founding CEO at Review Pro, a leading provider in Guest Intelligence solutions to independent hotel brands worldwide, which includes both the Online Reputation Management and the Guest Survey Solution modules. The solution uses advanced text mining techniques to enable hoteliers to obtain deeper insight into operational and service strengths and weaknesses, increasing guest satisfaction, ranking on review sites and OTAs, and driving revenue. More than 17 years experience in Internet and technology in Europe, the US and Asia. Expertise both as an operating executive and entrepreneur. Led projects that have generated more than $300 million in revenue. Nearly 10 years as a senior executive in one of Spain’s largest media companies most recently overseeing the business unit that included the group’s digital media and eCommerce companies.

Alberto Robles is the CEO of Expert System Iberia and former Director of ICM (Intelligent Content Management) from iSOCO, a company acquired by Expert System in 2014. With a long professional experience in the technology sector, during his experience in Tecsidel contributed to the creation of a spin-off focused on the application of digital certificates in public administration, the launch of its division in Latin America and the creation of an independent business unit. At ICONUS (Comsa Emte Group company), his work helped increase profits and obtain better business efficiency ratios. Alberto holds a degree in Computer Engineering from the Polytechnic University of Catalonia (UPC).

COLLABORATORS:
This event could not be possible without the collaboration of Mobile World Centre.

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2nd Barcelona Datathon

 

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BCNAnalytics

 

 

BCNAnalytics and SocialPoint are pleased to invite you to the second Barcelona Gaming Data Hackathon.  40 participants. 10 teams. +€1.5k euros in prizes. 24 hours. Food, t-shirts, great views and awesome people. R, Python, ML, … Ready?

The competition will focus on analyzing the data about the Monster Legends Game (iOS and Android). Teams will participate in 2 different tracks: the accuracy track about building a  recommendation system for monsters and the business insights track, about finding actionable insights from the given datasets.

Register!

Social Point Offices


 

Prizes

  • Accuracy track: 1st prize 750€, 2nd prize 500€
  • Business insights track: unique prize 500€

Schedule

Saturday 15th October

  • 9:00 Opening and participants check in.
  • 9:30 Presentation by BCNAnalytics and SocialPoint. Team Formation
  • 10:00 Competition start. Data sets are released and submission platform begins accepting submissions.
  • 14:00 Lunch all together to a cool place :)
  • 20:00 SocialPoint offices closes

Sunday 16th October

  • 9:00 SocialPoint offices reopen
  • 10:00 Accuracy competition closes. Submission platform stops accepting submissions. Teams can prepare the presentation for the business track.
  • 11:00 Begin presentations
  • 13:00 Jury delivery
  • 13:30 Prizes
  • 14:30 Closing and optional lunch.

Participants and registration process

40 participants, 4 members per team.

To participate to the hackathon, start registering here. If you already have a team formed, indicated the name of it in the registration form. If you don’t have a team, register and we will assign you a team.

The deadline for registering is Monday 10th October. The acceptance process is first come first served. Once you or your team has been accepted, you will be notified about it.


Rules

  • Each participant can only participate in one team.
  • In order to opt to prizes, all teams must participate in both competitions.

This competition would not be possible without the help of SocialPoint. Thanks!

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Barcelona Data Lovers