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Cómo redefinir tu organización con IA

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De la misma manera que la llegada del software ha transformado todo tipo de empresas e industrias a lo largo de los últimos 20 años, la Inteligencia Artificial está empezando a redefinir todo tipo de escenarios empresariales. Descubre en esta charla los conceptos básicos de la Inteligencia artificial y descubre los casos de uso más apropiados para tu tipo de empresa. Aprende a realizar el cambio organizacional y cultural necesario para potenciar tu negocio mediante IA.

Published in: Technology
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Cómo redefinir tu organización con IA

  1. 1. AI for Business
  2. 2. O R G A N I Z A T I O N P L A T I N U M S P O N S O R S Thank you! C O L L A B O R A T O R S
  3. 3. @davidcsa david.carmona@microsoft.com A passion for both technology and business / marketing. In my career between business and technical leadership roles, I'm usually pointed as the technical guy in Business and the business guy in Engineering, and I'm proud of it! David Carmona General Manager, Microsoft AI
  4. 4. AI Perception Understand the world around us Cognition Reasoning on top of data Learning Learn over time without direct intervention
  5. 5. Source Gartner, 2019 Source BCG, 2017 84% 14% 75% 23%
  6. 6. Strategy Culture Leadership
  7. 7. Strategy
  8. 8. Technical Departments Business Units Employees Applications Business processes Augmentation
  9. 9. AI applications Vision Speech KnowledgeLanguage
  10. 10. Business processes Zone to Win: Organizing to Compete in an Age of Disruption (Geoffrey Moore)
  11. 11. Employees Introducing the citizen data scientist
  12. 12. Demo
  13. 13. Culture
  14. 14. Qualities of an AI-ready culture Empowering ResponsibleData-driven
  15. 15. DEFINITION DEVELOPMENT OPERATIONS Implementing MLOps
  16. 16. Implementing a data hub
  17. 17. PracticesPrinciples Tools Fairness Inclusiveness Transparency Accountability Privacy and Security Reliability and Safety Responsible MLOps lifecycle External partnerships Governance Homomorphic Encryption Differential Privacy Interpret ML Secure MPC Data Drift
  18. 18. Demo
  19. 19. Leadership
  20. 20. The real AI heroes
  21. 21. 1 2 3
  22. 22. Thanks and … See you soon! Thanks also to the sponsors. Without whom this would not have been posible. O R G A N I Z A T I O N P L A T I N U M S P O N S O R S C O L L A B O R A T O R S

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