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?
- 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?