How to start using AI today in your business
Now that we already know what Machine Learning is, and how it differs from other business areas, it's time to see some practical applications.
I will share 4 things that you can start doing today to use Artificial Intelligence in your business:
1. Make as many advertisements as possible
Especially if you're paying for advertising on Google or Facebook. The advertising systems of these companies are based on Machine Learning, the more variants you have in your advertising (short videos, long videos, images, testimonials, photo sequences, etc.), the easier it gets to optimize your campaigns.
At MKTi (http://mkti.mx/) we have managed to reduce costs by up to 80% just by trying different ad formats. If you're just getting started in the world of digital advertising, tools like AdEspresso (https://adespresso.com/) will help you create variants for your advertising in a very simple way.
2. Use IFTTT tools
The IFTTT (IF This, Then That) tools, despite not containing Artificial Intelligence, allow you to automate administrative processes without effort.
Platforms like Zapier (https://zapier.com) allow you to integrate several systems (such as Gmail, Facebook, Instagram, Calendar, etc.) with each other to create a "Pipeline" or an automated process.
You can create pipelines such as: "Every time an Inbox arrives to my Fanpage, save the record in Google Sheets, and send me an Email".
3. Learn what is "Linear Regression"
Linear regression is one of the basic tools of a statistician. It allows you to create accurate forecasts and get to know the reasons of a certain phenomenon, in business it is used mainly to make sales forecasts.
Although it requires an effort to understand and use it correctly, it is an analysis that you can perform on a simple Excel sheet. I share a link with a tutorial on how to do it: https://www.youtube.com/watch?v=L_a8Z0BVjyM
4. Learn how to use Excel's "Solver"
Another tool that we can use from Excel to make smarter use of our data is "Solver".
Solver, unlike a Linear Regression, does not analyze data. Instead, it allows you to program your limits (for example, your inventories), your costs, prices and expected sales; With this information Solver finds a combination of the best allocation of resources to maximize your profits.