When working with AI, it’s important to know how to import data sets, read through tables, and understand what the structure is.

There’s a need for AI in nearly every industry so the question is not whether to adopt, but how. Before you decide to make or buy your AI, ask yourself some questions, do the research, and evaluate whether you have the time, money, or expertise to solve your business problems at hand.

We use Light Bulb to label, train, test and deploy machine learning models without any coding! 

Artificial Intelligence (AI) is being incorporated in nearly every professional sport, both on and off the field. Though there may be some challenges and concerns, it’s undeniable that AI integration in the sporting industry has its clear advantages and will be a built-in strategy into the future.

Don’t let your role define your responsibilities. Do things you’re unqualified for. Go out of your way to serve others.

Find out how AI is being used to enhance your customer service experience in person, online, or over the phone.

The 2 commonly used metrics in regression are Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE). Mean Absolute Error is best for simple, orderly datasets. Root Mean Squared Error is best for complex, chaotic datasets.

Artificial Intelligence (AI) is a growing trend in the media and entertainment (M&E) industry. For many, it’s a great asset in engaging audiences and delivering high quality experiences.

We explain what SHAP values are, walk you through a real life example, and outline how you can use them to interpret & explain your machine learning models.

Artificial Intelligence (AI) is already a familiar tool in education but it won’t be long before integration becomes a norm in the school system, helping both teachers and students thrive.