Three Principles for Successful AI Solutions

https://blog.f-secure.com/three-principles-successful-ai-solutions/

Everyone is talking about Artificial Intelligence, but what’s really going on? Is AI going to solve all your problems? And what even IS AI? What are the key things you need to take into account when building AI solutions? In practice AI is often used as an umbrella term, and most of the solutions we refer to are Machine Learning – and it has been around for some time. For example, the first artificial neural networks emerged in the mid 1900s.
Sure, methods and algorithms have evolved a lot, and perhaps even more significantly computing power has increased drastically, but we have been using and developing machine learning models for quite some time. Even though there have been fantastic recent advances in ease of use through ready toolkits like TensorFlow or manged cloud services like Sagemaker, I do think many of the fundamental things learned through experience over the years still apply, but have sometimes seen some of the fundamentals can get forgotten in all the excitement. I have been working in the field for a while now, and just wanted to share a few principles that I think everyone should keep in mind when designing and building – or evaluating, if you are sitting on that side of the fence – successful AI/ML solutions.