Name: Symposium
Start: 2019-03-28T09:00:00+00:00
End: 2019-03-29T19:00:00+00:00
Location: UMinho

Thursday, 28 March
- Thu, 28 Mar
- Fri, 29 Mar
- 1
  
  Opening session
  
  Prof. Dr. Guilherme Pereira, pro-rector of the University of Minho for Institutional Assessment and Special Projects
  
  Prof. Dr. Paulo Sampaio, vice-president of the School of Engineering of the University of Minho
  
  Prof. Dr. Nuno Castro, director of LIP and chair of the organizing committee of the symposium
- 2
  
  LIP - Data Science in (Astro)Particle Physics
  
  Speaker: Rúben Conceição (LIP)
  
  LIP-presentation-RC.pdf
- 3
  
  BIAL - Exploring chemical and biological spaces in drug discovery
  
  Speaker: Nuno Palma (BIAL)
- Coffee-break
- 4
  
  Altice Labs - DataPlaxe – Big Data processing and monetization platform
  
  Speaker: Mário Moreira (Altice Labs)
- 5
  
  Novo Banco - Data Science in Banking: making your bank smarter to make your life easier
  
  Speaker: Bernardo Caldas (Novo Banco)
- 6
  
  WeDo Technologies - Why Machine Learning is key to fight fraud in the digital era
  
  Speaker: Raul Azevedo (WeDo Technologies)
- Lunch
- 7
  
  UMinho - Minho Advance Computing Center
  
  Speaker: António Cunha (Universidade do Minho)
  
  MACC_UMinho_mar19.pdf
- 8
  
  EFACEC - Smart Data for the Smart Grid: Opportunities and Challenges
  
  Speaker: Rogério Paulo Dias (EFACEC)
  
  Efacec, Rogério Paulo, Data Science - Bridging Fundamental Research and Industry - for realease, v1.0 (2019-03-28).pdf
- 9
  
  UMinho - Adaptive Business Intelligence: using Prediction and Optimization for Decision Support
  
  Speaker: Paulo Cortez (Universidade do Minho)
  
  cortez-lip-ds-2019.pdf
- Coffee-break
- 10
  
  UMinho - Banks' credit allocation and financially distressed firms: exit, recovery and productivity
  
  Speaker: Miguel Portela (Universidade do Minho)
  
  produtividade_v16_LIP_v3.pdf
- 11
  
  Vodafone - The Path to Malaria Elimination & Technics to Detect Offensive Language
  
  Speaker: Filipa Peleja (Vodafone)
  
  The Path to Malaria Elimination & Techniques to Detect Offensive Language.pdf
- 12
  
  IBM - Teach a computer to see, use a marker, and say: "Wait a minute - that's not normal"
  
  Speaker: Willem Hendriks (IBM)
  
  gitlab repository
Friday, 29 March
- Thu, 28 Mar
- Fri, 29 Mar
- 13
  
  UMinho - Big Data Analytics for Smart Cities and Industries
  
  Speaker: Maribel Yasmina Santos (Universidade do Minho)
  
  BDAnalytics_MYS_Print.pdf
- 14
  
  Siemens - Analytics Lab: data science in Siemens
  
  Speaker: Miguel Batista (Siemens)
  
  Siemens@LIPDataScience0329.pdf
- 15
  
  Amplemarket - Making sense of text
  
  Speaker: Micael Oliveira (Amplemarket)
  
  1-amplemarket_data_science_talk.pdf
- Coffee-break
- 16
  
  LIP - Computing at LIP
  
  Speaker: João Pina (LIP)
  
  LIP-COMPUTING-FOR-DATA-SCIENCE.pdf
- 17
  
  Nielsen - Exploring the synergies with fundamental research at LIP
  
  Speakers: Rita Lima (Nielsen), Tânia Ralha (Nielsen)
  
  Nielsen_Presentation_LIP_March_2019.pdf
- 18
  
  UMinho - Behaviour Analysis@ISLab
  
  Speaker: Paulo Novais (Universidade do Minho)
- Lunch
- 19
  
  Critical materials - Data Science in Structural Health Management of critical systems
  
  Speaker: Júlio Viana (Critical materials)
  
  CMT_data science_UMinho_2019.pdf
- 20
  
  Fraunhofer - Intelligent Systems at Fraunhofer AICOS
  
  Speaker: Inês Sousa (Fraunhofer)
  
  FhP Institutional Presentation - IS.pdf
- 21
  
  Fujitsu - Co-creation in IT & Industry Challenges
  
  Speakers: Claudia Nunes (Fujitsu), José João Pereira (Fujitsu), Marcos Marques (Fujitsu)
- 22
  
  Willis Tower Watson - Data and Modelling in the Pension Funds World
  
  Speakers: Ana Margarida Rosa (Willis Tower Watson), Diogo Moreira (Willis Towers Watson)
  
  WTW LIP presentation 29 March 2019.pdf
- Coffee-break
- 23
  
  FCT - Research data management and data economy - Political context and funders' perspective
  
  Speakers: Joelma Almeida (Fundação para a Ciência e Tecnologia), Vasco Vaz (Fundação para a Ciência e Tecnologia)
  
  20190329_LIP - Data Science.pptx
- 24
  
  Accenture - Forecasting and Route Optimization at Accenture
  
  Speakers: Alexandre Pinto (Accenture), Francisco Almeida (Accenture)
- 25
  
  Defined Crowd - How humans and machines can work together to create AI
  
  Speaker: João Freitas (Defined Crowd)
  
  DS Symposium 29-03-2019_c.pdf
- 26
  
  Inovretail - Improving staff productivity through Data Science
  
  Speaker: Hugo Lopes (Inovretail)
  
  Inovretail_ Staff Efficiency_Mar 2019 v1.pdf

Symposium

B1 auditorium, Complexo Pedagógico II

UMinho