
How to Build Additional Context Into Your Machine Learning Algorithm
Learn how building additional context into your machine learning algorithm can help your organization detect risks at speed.
Ben is a data science leader with nearly 10 years of experience in machine learning and advanced analytics within the financial sector. At Quantexa, he leads a team of data scientists to build and deploy innovative analytics products using network analytics, machine learning, deep learning and NLP. Prior to joining Quantexa, Ben was Head of Data Science at Barclays.

Learn how building additional context into your machine learning algorithm can help your organization detect risks at speed.

Find out more about the challenges to getting reliable data with machine learning, and why context is the answer to getting better quality data.

A key step in understanding the relationships between businesses and individuals is identifying which is which. What's needed is a bespoke machine learning solution - and here's why.