Latest machine learning publications
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 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.
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.
The Committee on Standards in Public Life says more transparency is needed in the use of AI to ensure public trust around its use Rules around the use of artificial intelligence (AI) in the public sector remain a “work in progress” with “notable deficiencies”, according to a new report. The Committee on Standards in Public… Read More
Almost half a year after acquiring AI networking outfit Mist Systems for a cool $405 million, Juniper Networks has announced the next set of Mist AI integrations into the company’s network and hybrid cloud monitoring platform.
Mist’s cloud-based AI wireless service, WiFI Assurance, will be added to Juniper’s platform as a subscription offering. The service uses network data to make wireless networks more reliable, and centres around an AI-powered virtual network assistant called Marvis that uses dynamic packet capture and machine learning technology to automatically identify, adapt and fix network issues.