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.
Rolls-Royce Power Systems adopts Iotics’ operating environment and toolset to expand its digital ecosystem and deliver Customer Service 4.0.
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89% of businesses see success in majority of automation projects; 25% in every project.
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Robotics, assembly and manufacturing experts are currently converting industrial production lines in record time to help cope with the corona pandemic. New ideas are being swiftly implemented to reduce bottlenecks in the supply of protective face masks and to bring test procedures to robot speed. Wherever possible, the robotics and automation specialists are working to support people with smart machine power.
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Super Micro has introduced that it says is the industry’s broadest portfolio of validated NGC-Ready systems optimised to accelerate AI and deep learning applications. Supermicro is highlighting many of these systems at the Supermicro GPU Live Forum in conjunction with NVIDIA GTC Digital.
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Announces first commercial availability of key technologies from Project Debater.
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Freshworks acquires AnsweriQ Inc., a provider of ML and AI for larger enterprises that want to better serve their customers
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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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