Machine learning (ML) refers to a machine’s ability to learn and adapt through inputs and experiences. It is a subset of artificial intelligence (AI), which refers generally to a machine’s ability to execute tasks that would typically require human intelligence.
One of the most common and recognizable applications of AI is the AI-powered chatbot, which can respond to users based on an analysis of their messages. But AI can also be used in other contexts, such as eCommerce, human resources management, cybersecurity, and logistics. For example, an advertising solution with an onboard AI can serve advertisements to shoppers based on their shifting shopping and browsing history, among other inputs.
Machine learning is still relatively new and experimental, but companies are already discovering unique applications. For example, technology companies have trained machines to recognize images and speech patterns, make predictions, and diagnose technical problems.
To leverage these advanced technologies, you must first digitize your operations through a robust digital transformation initiative. Once achieved, you’ll be able to innovate and help drive the next generation of digital business applications.