Future of data platforms

The way we use data platforms is changing, and it's all thanks to AI. Traditionally, these platforms were designed to help people make better decisions by providing data-driven insights. Essentially, they acted as tools to guide human decisions. But with the rise of AI, these platforms are evolving. We're now moving towards a future where decisions and actions can be automated—sometimes entirely by AI, and other times with AI suggesting insights that humans can choose to act upon.

This shift has some interesting implications. For one, the more structured and validated the information in a data platform, the easier it is for AI to access and use it. This means AI can make better decisions because it has high-quality data at its disposal. These decisions aren’t just theoretical; they can lead to real-world actions through AI agents.

However, this doesn't mean humans are out of the picture. People will still need to decide which decisions they want to keep an eye on before they're executed and which ones can be left to the AI. And there's another crucial aspect: If AI makes a bad decision, it's essential to be able to trace back each action to the specific decision that caused it. This allows for updates to the data and processes in the platform, ensuring that the same mistakes aren't repeated in the future.

In short, as data platforms become more AI-driven, they will become more powerful tools for automation. But this also means businesses need to carefully manage how much control they hand over to AI, ensuring that there's always a way to learn from any mistakes and improve decision-making over time.

- Data platforms are evolving with AI, enabling more automated decisions and actions.

- High-quality data allows AI to make better decisions.

- Humans must choose which decisions to oversee versus automate.

- Mistakes by AI need to be traceable and corrected to avoid repetition.

- This ensures smarter automation while keeping control and improving processes.