Hey everyone. I've been approached by a group of local law makers here in NZ, looking at putting on an event around AI and the impacts it can have on creative and core industries as part of a process on what regulations are needed at a governmental level on the area. They're keen to get a better understanding of how it can be used and to learn what some of the common misconceptions behind it are. I'd love any advice or suggestions you might have from your own experience of seeing law makers running to catch up with technological changes, or any pitfalls you think they should avoid.

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I hear more and more people asking why you should do all the overhead of creating a Data Vault on modern data platforms. They often argue, that when having a persistent data lake and a modern data platform, which allows virtualizing everything on top of the lake, you don't need a Data Vault. What's your take on this?

You can have the best data model and the best business logics in place, but if garbage data comes in, the output is also often useless, especially for unexpected garbage. What are your strategies to deal with that?

Hi everyone - I’m looking to deepen my understanding of Data Governance and would love to hear about key concepts or frameworks you find essential. What are the must-know principles in this field? Also, if you have any “must-read” books or resources on Data Governance that you’d recommend, I’d appreciate your suggestions! Thanks in advance for sharing your insights! 😊