How might AI help without spamming users?

Great one @Elite Exclusivity PR! 1. AI can help with personalisation by analysing user behaviour and past interaction to create personal messages 2. AI can help segment your audience based on various factors like demographics, behavior, and preferences. This allows for more targeted communication, ensuring users receive messages that are most relevant to them. 3. *Feedback Analysis: A*I can analyze user feedback to identify what types of messages are considered spam. This can help improve future communication and reduce spam. Most of these are covered in the course.

Don't these only apply once you have launched? How is this information collected and used prior to a launch?

That is a continuous process and one that is made easier by using AI tools.

Color me sceptical - how do you magically gather more data just because AI?

@Andy Dent you don’t gather more data, you can analyze the data you hve more efficiently. All the spam filter on your email work this way.

The spam filter on my system works on my incoming data. Maybe I misunderstood your proposition but you seemed to be talking about the AI improving analysis from a supplier side. I don't see how that can work. The spam filter analogy seems very weak. As @Adam Riggs-Zeigen pointed out, you're not convincing us on how you improve things in an absence of data. I'm not anti-AI - I'm using GPT4 for some things & finding it very useful. I'm just a very experienced dev who's seen a lot of grandiose claims along the way.

The need for data stays the same. how fast you can analyze it and draw conclusions is changing.