Inference: AI business podcast by Silo AI

A podcast by Silo AI

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30 Episodes

  1. Scaling AI with Silo AI CTO Niko Vuokko & COO Jaakko Vainio

    Published: 31/05/2024
  2. S2 E9: Niko Vuokko, CTO of Silo AI: AI in 2023 and beyond

    Published: 13/02/2023
  3. S2 E08: Sabrina Maniscalco, Algorithmiq: Quantum computing and AI

    Published: 5/12/2022
  4. S2 E07: Lina Weichbrodt: AI Post Mortem

    Published: 19/09/2022
  5. S2 E06: Michael Munn, Google: Advanced Solutions Lab

    Published: 16/08/2022
  6. S2 E05: Errol Koolmeister, The AI Framework: AI strategic advisory

    Published: 29/06/2022
  7. S2 E4: Douglas Castro, NeuralDSP: AI changing an industry

    Published: 13/06/2022
  8. S2 E3: Prof. Timo Vuori, Aalto University: AI as a manager

    Published: 23/05/2022
  9. S2 E2: Lina Weichbrodt, DKB: AI diagnostics, usability and post mortems

    Published: 9/05/2022
  10. S2 E1: Daniel Wroblewski, EQT: Motherbrain

    Published: 14/04/2022
  11. Episode 20: Stephen Alstrup, SupWiz: State of AI in Denmark 2022

    Published: 20/12/2021
  12. Episode 19: Jouni Luoma: DeepRacer

    Published: 12/11/2021
  13. Episode 18: Tero Ojanperä: Platform Strategy

    Published: 27/10/2021
  14. Episode 17: Michael Munn, Google: Machine Learning Design Patterns

    Published: 5/10/2021
  15. Episode 16: Regulation, ethics & geopolitics of AI - Mark Caine, World Economic Forum

    Published: 17/09/2021
  16. Episode 15: Roadmap to first AI victories - Anna Mossberg

    Published: 7/06/2021
  17. Episode 14: Experimentation culture of Netflix - Ville Tuulos

    Published: 8/04/2021
  18. Episode 13: Data monitoring & quality - Patrik Tran, CEO of Validio

    Published: 19/03/2021
  19. Episode 12: Predictive Maintenance with HITL - Patrik Strand, Wärtsilä

    Published: 9/02/2021
  20. Episode 11: Internal AI Center-of-Excellence - Girish Agarwal, Husqvarna

    Published: 13/01/2021

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In a world in which everyone is talking about AI, a real track record is hard-earned. Inference by Silo AI dives deep into data-driven organizations and their product development to understand what it means to work with AI.

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