The pace that A.I. is evolving is one thing. The pace of the hype is another. Each day it seems like there are announcements about one organization outpacing the other. If you feel behind, take a breath. Yes, there is a massive land grab going on. Amazon, Apple, Google, Microsoft and others are all trying to get to full intelligence first. It’s an exciting time.
But actually, what most of us need to do, as business owners, marketers, researchers, engineers and students, is to get organized. We are used to A.I. sort of helping us with things, and dependent on algorithms to work for us.
Now, the landscape is changing. Today, most of us should first get our data and signals organized.
What does this mean?
1. Look at the basics of any advertising campaigns you are running. If you are spending money on ads but don’t have your analytics, goals, events and funnels clearly defined, it’s not going to work for long. The machines need this data.
2. Look at your processes. Roles that involve humans staring at a screen, formatting data, inputting records, creating content and tracking stats will be over soon. In 2 years or less any intern with ChatGPT will be able to do many of these jobs.
3. What type of data advantages do you have? Do you have more data? More people? More users? Better data? You’ll need at least one data advantage.
4. Make a list of all of the algorithms you and your teams interact with daily. Which could impact your organization? These interactions, and the net impact of them are valuable.
This all may sound a little vague, but actually rather than generating A.I. images or asking ChatGPT questions, your organization needs to be thinking about the data and signals that inform the machines in your ecosystem.
