Name: DSPT#18 - The Big Data Championship
Start: 2017-11-22T18:30:00Z
End: 2017-11-22T21:00:00Z
Location: Altice LABS

The crowd is really on fire as we approach another Data Science Portugal event!

We'll have another exciting match, this time between Altice Labs and University of Aveiro! On one side, the Big Data platform architeture players feel confident, betting on answering business needs with quick answers, flexibility and performance. On the other side, the trick will be combining machine learning with distributed systems do overcome the adversary and ensure victory on what we expect to be a chaotic game indeed!

Flags with "Vamos lá CAMBADA!" are spread all across the stadium, showing support for the team! Team captains Mário Moreira (https://www.meetup.com/datascienceportugal/members/227648046/) and Ricardo Dias (https://www.meetup.com/datascienceportugal/members/240284505/) are definitely on their best shape!

Join us at Aveiro and become part of the Data Science Portugal Community™! First timers: welcome your new Beer overlords!

The meetup #18 of Data Science Portugal (https://www.facebook.com/datascienceportugal)is going to take place on Wednesday, 22nd November, 2017 around 18h30, at Altice LABS - Rua Eng.º José Ferreira Pinto Basto, 3810 Aveiro.

======= SCHEDULE =======

The preliminary agenda for the meetup is the following:

• 18:30-19:00: Welcome and get together.

• 19:00-19:30: Talk 1: "Big Data platform architecture at Altice LABS" by Mário Moreira - Altice LABS.

• 19:40-19:45: Group photo.

• 19:45-20:10: Networking / Coffee Break.

• 20:10-20:40: Talk 2: "Can robots play soccer?" by Ricardo Dias - University of Aveiro.

• 20:50: Closing, hanging out and some beers

• 21:00: Dinner is optional but it might be an excellent opportunity for networking.

Do you want to be a sponsor in future meetups? Please contact us to info@datascienceportugal.com.

See you there!

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Talk1: Big Data platform architecture at Altice LABS.

Abstract:
Everybody is talking about Big Data, and with the related technologies available, it's easy to start experiment. However, when moving into production and when dealing with very large volumes of data and many data sources, things start to get complex and to answer to business needs within a short time frame it's important to have a flexible and performant platform architecture.

Short Bio:
Mário Moreira obtained a master's degree in Computer Science from the University of Minho in 1995 and a Bachelor's degree in Systems and Computer Engineering from the University of Minho in 1993. He joined the Center for Telecommunications Studies (later PT Inovação and now Altice Labs) in 1993 where he was developing several expert systems based on techniques of Artificial Intelligence. He was initially involved in several European research projects ACTS and Eurescom. He has worked in the area of network management services, having collaborated with the Portugal Telecom team within the framework of Expo98, and was involved in the development of several PT Inovação products in this area. In 2003 he was responsible for the Platform, Services and Applications Unit for Mobile Networks, where he was responsible for the development teams of various telecommunications systems, such as Unified Messaging, SMS-C, MMSC, AAA, Location and Portals Plataforms. He is currently Manager of the Experimentation and Technology Coordination Division in Altice Labs, and since 2012 is responsible for the BigData team of Altice Labs, which has been involved in the experimentation, evaluation and construction of prototypes involving these technologies as well as the operation of MEO's BigData production platform from which critical KPIs are processed and extracted for the television business and SAPO portal. In addition, he is also responsible for the Cloud team at Altice Labs that has been working on the evaluation and selection of cloud technologies, as well as the architecture, installation, configuration and operation of a cloud platform for internal use at Altice Labs.

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Talk2: Can robots play soccer?

Abstract:
From chess to autonomous driving, we have seen an increasing amount of applications where robots have to deal with tasks that are more and more challenging. One thing is clear: robots are moving from very controlled and previously-known environments to more unstructured ones. If precisely manipulating chess pieces poses its challenges, imagine how difficult it is to deal with a chaotic, rolling soccer ball while coordinating with the team-mates to beat an opponent team with exactly the same goals. In this interactive session, we will discuss the challenges, technologies and methods used in the development of CAMBADA - a top team currently participating in the major international robotic soccer competition.

Short Bio:
Ricardo Dias completed his M.Sc. in 2014 in Electronics and Telecommunications Engineering at University of Aveiro and is currently pursuing a Ph.D. in Computer Engineering at the same institution. In his research, he has been mainly interested in intelligent distributed systems and artificial intelligence. He is the team-leader of an autonomous robotics soccer team and has developed routing protocols for delay-tolerant data in vehicular environments. His main research interests are robotics research in integration, sensor fusion and multi-agent coordination.

Rui Mendes

Rui Martins

Ricardo Marques

Rita Pereira

Data Science Portugal (DSPT)

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Artificial Intelligence Applications

Deep Learning

Artificial Intelligence

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Big Data

Machine Learning

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Data Visualization

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Data Mining

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Computer Vision

Natural Language Processing

DSPT#18 - The Big Data Championship

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DSPT#18 - The Big Data Championship

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