Will Your Data Lake Be a Result of a Lot of Data Strategies? - Håkan Gustafsson

Is Data & Analytics one area that you have a one strategy for? Or will your data lake be a result of a lot of data strategies?

Key Takeaways:

  • Data is key for AI, IoT, automation, robotics, machine learning, advanced analytics, etc… and those areas depend on each other. How do you define a strategy and architecture for that?
  • We can do a lot more than we are allowed to. How does governance affect your strategy and architecture?
  • What if the huge amount of data you own shows up to be only a small part of what you are going to analyze in the future?

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