Alex M.

Other things to consider: 1. Ethical considerations of AI and whether bias is accounted for in any given model. 2. Whether the solution provided by AI and your team is merely a wrapper for an existing model or it is truly a groundbreaking use of AI by using internal data that doesn't exist anywhere else to train models. 3. Whether the AI solution provided by your team also is sustainable from a financial standpoint. Cloud processing still costs a lot.

Collaborating with other teams and experts is key. Because technology is nascent working with other individuals in different functions is important. The key uses of AI in marketing is different that those for the product team. Most importantly, external experts could be a key to make your AI function grow and should be routinely added if you want your team to stay head.

A few learning opportunities for teams are as follows: 1. Access to top AI tools such as ChatGPT, Midjourney, Runway and others 2. Access to books and classes on python (usually used to code for AI) and general models 3. Access to mentors or speakers that can talk about the different facets of AI from data scientists, to folks that care about bias and impact to those who care about the best way to monetize it and put the AI models to practical use.

The best way to do this is by identifying the core metrics that your AI team needs. Three key metrics that any team should have: 1. Does the team member understand data and data cleanliness needed to build a model? 2. Does the team member understand the different AI models and the one that is more pertinent for what you are trying to build? 3. Does the team member understand the impact created by AI. What problem is it solving and once the solution is delivered does in fact deliver against that value proposition?

In a way this is putting the cart before the horse. The question is how can you use data to guide a creative campaign. The first question should be which creative works best and then running a series of experiments to figure that out (metric will likely be click through rate or clicks). Once you have the right creative you scale that but change your KPI to a conversion metric (visits, installs, add to carts, purchases)

I would focus on understanding business metrics first! How do you measure: 1. Revenue 2. Churn 3. Cost of good sold (COGS) Then for each one what are the leading metrics. For example for the revenue you need # of sales/purchases! Once you understand which metrics are important and how to measure each then is a matter of figuring out where those metrics are. For example purchases that lead to revenue maybe on google analytics OR on your payment dashboard! Learning how to use those is easy once you know what you are looking for