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.
Bonquiqui and Sheniqua to support staff in enhancing the service it offers to its insurance customers.
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Amadeus Ventures will invest in the travel tech startup which uses machine learning to help airlines rebook flexible passengers on lower demand flights.
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An explosion in the growth of technologies such as AI and machine learning is transforming the balance of skills required by modern analysts, ground-breaking research from business intelligence firm AMPLYFI has found.
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Almost 5,000 knowledge workers and business decision makers share their insight on how RPA is changing business operations and employees’ working lives.
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Densify is launching machine learning capabilities that will automatically optimise use of containers. This technology will enable companies to be more efficient, limit wasted cloud spend, improve application uptime and scalability, and reduce performance risk. With Densify, organisations can ensure their containers are being deployed to their full potential.
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Alfresco Software has unveiled the immediate availability of a new Intelligence Services for its cloud-first Digital Business Platform. The Intelligence Services that seamlessly leverages Amazon Web Service uses AI (Artificial Intelligence) and ML (Machine Learning) to provide enterprises with a highly-scalable method for intelligently extracting important content often locked away in multiple documents, scanned images, videos and photographs.
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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