When you hear machine learning, what do you think of? Before we get into what machine learning brings to the table, we should define exactly what we mean when we talk about machine learning. Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, adapt to new data and improve its performance. This interesting topic came to us from the Training Journal in their article, “The future of training must embrace machine learning.”
In the workplace machine learning has opportunities to improve the onboarding and training of staff, especially in light of the increase in remote working.
A great trainer can make a huge difference to the quantity and the quality of new skills and knowledge that employees take in and retain. The drawback often reveals in a lack of behavior changes.
With machine learning in a training context, it takes this into account, in a way that it can be hard for a human trainer to do. AI treats each learner as an individual, and then learns and adapts to that particular learner’s performance.
Much like how Data Harmony allows you to expand your semantic model to create meaning and relationships, and learn from them. Data Harmony is Access Innovations’ AI suite of tools that leverage explainable AI for efficient, innovative and precise semantic discovery of new and emerging concepts to help find the information you need when you need it.
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.
