7 Steps to Machine Learning: How to Prepare for an Automated Future

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The increasingly digital economy requires boards and executives to have a solid understanding of the rapidly changing digital landscape. Naturally, artificial intelligence (AI) is an important stakeholder. Those organisations that want to prepare for an automated future should have a thorough understanding of AI. However, AI is an umbrella term that covers multiple disciplines, each affecting the business in a slightly different way.

When we look at artificial intelligence, it can be divided into three different domains:

1. Robotics, which deals with the physical world and it can directly interact with humans. Robotics can be used to improve our work in various ways. Including Ford’s exoskeleton or Boston Dynamics’ helping robots.
2. Cognitive systems, which deal with the human world. A great example of a cognitive system as part of AI are chatbots. Chatbots are a very tangible example where humans and machines work together to achieve a goal. A chatbot is a communication interface that helps individuals and organisations have conversations.
3. Machine learning, which deals with the information world. Machines use data to learn, and machine learning aims to derive meaning from that data. Machine learning uses statistical methods to enable machines to improve with…