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Latest machine learning publications


5 Reasons to Use Machine Learning

When properly applied to the right use cases, machine learning reduces the amount of time spent error-prone manual IT operations, adding significant business value and greatly reducing IT costs.


Five predictions for Machine Learning and AI in 2021

Paul Clough, Professor of Search & Analytics at The University of Sheffield and Head of Data Science at Peak Indicators, looks ahead


NHS rolls out predictive analytics to help hospitals forecast Covid-19 admissions

Predictive analytics is being rolled out across the NHS in a bid to help hospitals forecast coronavirus and direct resources where they are needed most.

The new Joint Biosecurity Centre is being asked to give the NHS locally advance warnings of any uptick in coronavirus admissions with the support of a machine learning-powered tool.


The future of video streaming – Training AI to see with the human eye

The latest research from Cisco says that global internet traffic will reach 4.8 zetabytes a year in 2022, or 150,700 gigabytes a second. Video will represent at least 80 per cent of the total internet traffic. That research was published before the current coronavirus pandemic, which may well have a dramatic change in the shape and per-type breakdown of global internet traffic as face-to-face meetings are being overwhelmingly replaced with video conference calls and live video streaming. For example, NAB, the biggest event of the year in media production and distribution, has recently announced it will switch to a virtual conference for the 2020 year, with live presentations and meetings taking place via video streamed over the web.


How machine learning is changing the face of financial services

Business changes all the time, but advances in today’s technologies have accelerated the pace of change. Machine learning analyses historical data and behaviours to predict patterns and make decisions. It has proved hugely successful in retail for its ability to tailor products and services to customers.

Unsurprisingly, retail banking and machine learning are a perfect combination. Thanks to machine learning, functions such as fraud detection and credit scoring are now automated. Banks also leverage machine learning and predictive analytics to offer their customers a far more personalised user experience, recommend new products, and animate chatbots that help with routine transactions such as account checking and paying bills.