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Symposium

28–29 Mar 2019
UMinho
UTC timezone

Contribution List

28 out of 28 displayed
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  1. 1. Opening session
    28/03/2019, 09:00

    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

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  2. 2. LIP - Data Science in (Astro)Particle Physics
    Rúben Conceição (LIP)
    28/03/2019, 09:45
  3. 3. BIAL - Exploring chemical and biological spaces in drug discovery
    Nuno Palma (BIAL)
    28/03/2019, 10:15
  4. 4. Altice Labs - DataPlaxe – Big Data processing and monetization platform
    Mário Moreira (Altice Labs)
    28/03/2019, 11:15
  5. 12. Novo Banco - Data Science in Banking: making your bank smarter to make your life easier
    Bernardo Caldas (Novo Banco)
    28/03/2019, 11:45
  6. 6. WeDo Technologies - Why Machine Learning is key to fight fraud in the digital era
    Raul Azevedo (WeDo Technologies)
    28/03/2019, 12:15
  7. 7. UMinho - Minho Advance Computing Center
    António Cunha (Universidade do Minho)
    28/03/2019, 14:00
  8. 8. EFACEC - Smart Data for the Smart Grid: Opportunities and Challenges
    Rogério Paulo Dias (EFACEC)
    28/03/2019, 14:30
  9. 9. UMinho - Adaptive Business Intelligence: using Prediction and Optimization for Decision Support
    Paulo Cortez (Universidade do Minho)
    28/03/2019, 15:00
  10. 10. UMinho - Banks' credit allocation and financially distressed firms: exit, recovery and productivity
    Miguel Portela (Universidade do Minho)
    28/03/2019, 16:00
  11. 5. Vodafone - The Path to Malaria Elimination & Technics to Detect Offensive Language
    Filipa Peleja (Vodafone)
    28/03/2019, 16:30
  12. 13. IBM - Teach a computer to see, use a marker, and say: "Wait a minute - that's not normal"
    Willem Hendriks (IBM)
    28/03/2019, 17:00
  13. 14. UMinho - Big Data Analytics for Smart Cities and Industries
    Maribel Yasmina Santos (Universidade do Minho)
    29/03/2019, 09:00
  14. 15. Siemens - Analytics Lab: data science in Siemens
    Miguel Batista (Siemens)
    29/03/2019, 09:30
  15. 16. Amplemarket - Making sense of text
    Micael Oliveira (Amplemarket)
    29/03/2019, 10:00
  16. 17. LIP - Computing at LIP
    João Pina (LIP)
    29/03/2019, 11:00
  17. 18. Nielsen - Exploring the synergies with fundamental research at LIP
    Rita Lima (Nielsen), Tânia Ralha (Nielsen)
    29/03/2019, 11:30
  18. 19. UMinho - Behaviour Analysis@ISLab
    Paulo Novais (Universidade do Minho)
    29/03/2019, 12:00
  19. 20. Critical materials - Data Science in Structural Health Management  of critical systems
    Júlio Viana (Critical materials)
    29/03/2019, 14:00
  20. 21. Fraunhofer - Intelligent Systems at Fraunhofer AICOS
    Inês Sousa (Fraunhofer)
    29/03/2019, 14:30
  21. 22. Fujitsu - Co-creation in IT & Industry Challenges
    Claudia Nunes (Fujitsu), José João Pereira (Fujitsu), Marcos Marques (Fujitsu)
    29/03/2019, 15:00
  22. 23. Willis Tower Watson - Data and Modelling in the Pension Funds World
    Ana Margarida Rosa (Willis Tower Watson), Diogo Moreira (Willis Towers Watson)
    29/03/2019, 15:30
  23. 24. FCT - Research data management and data economy - Political context and funders' perspective
    Joelma Almeida (Fundação para a Ciência e Tecnologia), Vasco Vaz (Fundação para a Ciência e Tecnologia)
    29/03/2019, 16:30
  24. 25. Accenture - Forecasting and Route Optimization at Accenture
    Alexandre Pinto (Accenture), Francisco Almeida (Accenture)
    29/03/2019, 17:00
  25. 26. Defined Crowd - How humans and machines can work together to create AI
    João Freitas (Defined Crowd)
    29/03/2019, 17:30
  26. 27. Inovretail - Improving staff productivity through Data Science
    Hugo Lopes (Inovretail)
    29/03/2019, 18:00
  27. 11. Data Science Portuguese Association - Empowering Data Science for a Better World
    Guilherme Pereira (Data Science Portuguese Association)
  28. 28. Microsoft - The new Big Data era is in the cloud: Azure
    Luis Silva (Microsoft)