Defining ML for IoT workloads

ML technologies are no longer technologies of the future— they have transformed the lives of millions of people in the last few decades. So, what is ML?

"Machine Learning is the field of study that gives computers the ability to learn without being explicitly programmed."

– Arthur Samuel, 1959

Let's look at some real-world examples of ML applications for IoT workloads from the consumer and industrial segments.

First, here are some examples from the consumer segment:

• Smartphones or smartwatches that can identify your daily habits and provide recommendations related to fitness or productivity
• Personal assistants (such as Alexa, Google, and Siri) that you can interact with in a natural way for different needs such as controlling your lights and heating, ventilation, and air conditioning (HVAC)
• Smart cameras that can monitor your surroundings and detect unexpected behaviors or threats
• Smart garages...