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 MSP Channel Insights is released so that you're always kept up-to-date with the latest and greatest news and press releases.
Video Magazines
The MSP Channel Insights Video magazine contains the latest Zoom interviews with experts in the industry.
Synaptek is a new Digital Innovation Division dedicated to enabling better ways of working through intelligent automation.
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Mphasis has announced the availability of new Deep Learning algorithms on Amazon Web Services (AWS) Marketplace for Machine Learning. The on-demand solutions target practical enterprise use cases such as influence analytics, insurance claims analysis, payment card fraud, and image analytics for supply chain and logistics.
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Leading European retailer selects JDA for a supply chain transformation fueled by Blue Yonder-enabled AI/ML technologies.
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The first globally decentralized deep learning and AI network has been launched.
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Platform makes machine learning simple to deploy and augments knowledge and skillsets of business problem owners.
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Almost half of HR leaders say predictive analytics and machine learning would improve their HR function, according to a Censuswide survey commissioned by MHR Analytics.
Read MoreHear 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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