Definition of Machine Learning 

What does is it mean and how is it used

What is Machine Learning? 

Machine learning is a method of data analysis that automates analytical model building. It’s a branch of Artificial Intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. It’s often confused with AI but while Artificial Intelligence is concerned with mimicking human ability, Machine Learning is just focused on the ability to learn. A good example of machine learning is driverless cars.

Why use Machine Learning?

Adding machine learning into your day-to-day operations is great way to automate processes and quickly build in efficiencies. And if you’re looking at doing any form of predictive analytics, Machine Learning is essential.

Latest Machine Learning Insights

Driving the rise of Artificial Intelligence and Machine Learning with data

The value and importance of data is clear to businesses; however, the perception of the transformation from BI to data analytics can be different for IT and business decision makers. Find out why organisations across two major European markets are powering modernisation efforts.

Read our white paper >

Business Technology Predictions White Paper

We are truly in the age of data. Businesses no longer talk about big data, it’s simply data – data that can drive growth or reduce costs. Which trends rule in this mature state of data usage? Read or white paper on business tech predictions for 2019 to find out.

Read our tech predictions >

Businesses are slow to exploit the cloud's machine learning power

Inspite businesses focuing on improving machine learning and artificial intelligence capabilities, our research has shown that data processing is often constrained and limited to data storage. Read on to learn more about organnization’s shift to Ai and ML.

Read more on the report >

Interested in learning more?

Whether you’re looking for more information about our fast, in-memory database, or to discover our latest insights, case studies, video content and blogs and to help guide you into the future of data.