Digitalisation World

AI and machine learning - data centres need to differentiate themselves to survive

Published in AI AIOps Everything AI Machine Learning

The interest in adding Artificial Intelligence (AI) and Machine Learning (ML) to business models is fast gaining momentum as organisations look to find patterns within their data that can deliver greater business and customer intelligence, and predict future trends. As Gartner highlights, the number of enterprises implementing AI tripled in the past year. However, with Gartner also claiming that more than 30% of data centres that don’t deploy AI and machine learning won’t be operationally...

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The impact of automation on the future of work

Published in AI AIOps Everything AI Orchestration + Management Tools Robotic Process Automation

By J.P Gownder, VP & Principal Analyst, Forrester.

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5 tips and tricks for getting your automated network up and running

Published in AI Internet of Things Networking Networks + Telecoms

While the whole point of automation is to make your life easier, getting it off the ground can be a challenge. It’s not as if you just decide, “Hey, we’re going to automate our network now!” and then you follow a fool proof, well-defined process to implement network automation across the board. You have to make many decisions that require long discussions, and downright difficult and careful thinking about how you’re going to automate. By Pete Lumbis, Technical Evangelist Cumulus...

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The AIOps promise: future of IT management across the hybrid data centre

Published in AI AIOps

Today’s IT infrastructure is a hybrid environment on many levels: a cacophony of legacy architecture, coupled with new technologies and architectures across private and public clouds. It is almost impossible for operations teams to effectively manage all of these disparate elements without the business at some point suffering from performance issues or worse, outages. By David Cumberworth, MD EMEA, Virtana.

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The top tech trends VARs and MSPs shouldn’t ignore

Published in Blockchain Digital Business Everything AI

By Rachel Rothwell, Regional Director Southern Europe and UK at Zyxel.

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Human-robot teamwork makes the dream work

Published in AI Everything AI Robotic Process Automation

By Karen Inbar – Director of Marketing, NICE Advanced Process Automation Solutions at NICE.

Docker on IoT devices

Docker is an open platform for developers and system administrators to build, ship and run distributed applications. With Docker, IT organizations shrink application delivery from months to minutes, frictionlessly move workloads between data centers and the cloud and can achieve up to 20X greater efficiency in their use of computing resources. Inspired by an active community and by transparent, open source innovation, Docker containers have been downloaded more than 700 million times and Docker is used by millions of developers across thousands of the world?s most innovative organizations, including eBay, Baidu, the BBC, Goldman Sachs, Groupon, ING, Yelp, and Spotify. Docker?s rapid adoption has catalyzed an active ecosystem, resulting in more than 180,000 ?Dockerized? applications, over 40 Docker-related startups and integration partnerships with AWS, Cloud Foundry, Google, IBM, Microsoft, OpenStack, Rackspace, Red Hat and VMware.

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AI

AI and machine learning - data centres need to differentiate themselves to survive

The impact of automation on the future of work

5 tips and tricks for getting your automated network up and running

The AIOps promise: future of IT management across the hybrid data centre

The top tech trends VARs and MSPs shouldn’t ignore

Human-robot teamwork makes the dream work

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Docker on IoT devices