Machine learning enables cognitive systems to learn, reason and engage with us in a natural and personalized way. Think Netflix movie recommendations, Internet ads based on browsing habits, or even stock trades — these are all ways machine learning is helping us navigate our world in powerful new ways.
The industrial revolution was a major turning point in the history of humanity. It enabled businesses to be more productive, create more jobs, and raise the overall standard of living. Today, we are on the precipice of another revolution. With machine learning done right, organizations can develop insights instantly and dramatically grow their business.
Machine learning does this consuming greater amounts of data, support greater variability and complexity, and is more forgiving of changing parameters or data points. Output generated through this process, can be deployed seamlessly across multiple different platforms, like cloud computing and on-prem applications, analytics systems, embedded systems and edge networks.
Similar to the Industrial Revolution, collaboration is a key component for machine learning — you still need smart people working together to ensure a successful process, resulting in the right output. Only, in this case, the smart workers are data scientists, data engineers, IT architects, developers, system administrators, business users, data mining experts, executives, etc.
A true machine learning system is a learning machine, one which constantly keeps learning so its insights are fresh and its actions right. Every action (and non-action) feeds data into the learning machine, which then automates tasks without constantly requiring manual intervention.
Machine learning is an entry point to the cognitive era, which enables business driven insights. This is a step change from the pre-cognitive era, where insights were largely technology platform driven.