Digital Newsletter
Each week our editor Phil Alsop rounds up the most popular articles, videos and expert opinions. We compile this into a Digital Newsletter and send it straight to your inbox every week.
Digital Magazines
We'll let you know each time a new edition of Digitalisation World is released so that you're always kept up-to-date with the latest and greatest news and press releases.
Video Magazines
The Digitalisation World Video magazine contains the latest Zoom interviews with experts in the industry.
By Axel Schmidt, Senior Communications Manager, ProGlove.
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Machine learning (ML) has been often touted as the big thing that can solve nearly every problem. ML hype has washed over all walks of life - from business to academia. However, it has caused tunnel vision as businesses try to apply machine learning to context where other solutions would work better. By Juras Juršėnas, Chief Operations Officer at Oxylabs.io
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Ordr has released its annual report on the state of connected devices, titled “Rise of the Machines 2021: State of Connected devices -- IT, IoT, IoMT and OT.” The 2021 report addresses pandemic-related cybersecurity challenges, including the growth of connected devices and related increase of security risks from these devices as threat actors took advantage of chaos to launch attacks.
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By Santiago Giraldo, Director of Product Marketing at Cloudera.
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Amazon HealthLake enables healthcare organisations to store, transform, and query health data in the cloud using machine learning for a complete picture of patient and population health.
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Acquisition takes first step in building GitLab’s Applied Machine Learning for DevOps .
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Hear LinkedIn’s senior SRE, Todd Palino, share how the company continually improves the state of its infrastructure, so that the developers who are rolling out applications have a framework that they can do it within, and they can do it safely. LinkedIn currently generates over 50 terabytes a day of unique metrics on applications. No human is going to look at 50 terabytes a day of data and get anything useful out of it, so LinkedIn relies on systems give them some useful signal out of all that noise. By moving down the road of machine learning, LinkedIn can now do anomaly detection using machine learning models.
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