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.
Marwin Marcussen, EMEA Channel Solution Architect at Kaseya, talks about the many challenges and opportunities facing end users as they seek to address the outfall from the pandemic, alongside the continuation of their existing digital transformation programmes. Happily, the Channel is perfectly placed to provide the expert knowledge and solutions end users require, with security very much the number one focus.
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DW talks to Alex James, CTO at Ascent, about the pitfalls of focusing too closely on digital transformation and technology innovation without first understanding what it is your company wants to achieve. Armed with this knowledge, Alex believes that end users can then achieve the right balance between data, software and platforms in order to implement successful, focused business change.
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Andy Slater, Director (Azure Practice / N4Stack) at Node4 Ltd, talks about the twin hybrid opportunities for the Channel – hybrid IT and the hybrid workplace, emphasising the importance of providing the expertise and value which customers are not able to find within their own organisations.
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Harald Nuij, Managing Director of Resello, talks about the company’s recent acquisition by Pax8, a global cloud management platform provider. The combination of Resello’s technology portfolio and Pax8’s MSP-focused platform, alongside their shared vision of accelerating cloud growth, provides a number of benefits for channel organisations of all sizes wishing to expand and improve their own cloud-based customer solutions.
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Terry Storrar, Managing Director UK at Leaseweb, provides some valuable advice for the Channel as it seeks to address the challenges and opportunities resulting from more and more customers moving to the ‘pay as you use’ model, and for individual companies to distinguish themselves in such a competitive market.
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Stela Udovivic, Director of Product Marketing, VMware Tanzu, explains how securing the right observability tools will help enterprises get control over their software and spot problems before they become a more widespread issue.
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John Gentry, Chief Technology Officer and SVP Business Development, Virtana, discusses how AIOPS provides end users with a ‘know before you go’ confidence in terms of how/when/where to move apps into the cloud (or not).
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Jon Cairns, VP, Technical Services at Nexthink, focuses on the challenges IT departments faced during the pandemic when it came to providing an optimised digital experience for a working-from-home workforce and how the lessons learned can better inform the provision and acceptance of technology rollouts into the future.
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Ted Redkar, Chief Product Officer, LogicMonitor, talks about achieving end-to-end observability in the age of digital transformation and technological convergence.
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Pierre Aeschlimann, Principal Strategist, Digital Transformation and Value Realization, Ivanti, talks through the AIOPS fundamentals, emphasising the importance of discovery and dependency mapping (DDM), configuring the data sources, discovering the ITSM pain points and opportunities and the use of agile processes to implement solutions.
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Companies that choose not to consider the AIOps-powered VSM approach are missing a significant opportunity, argues Gaurav Rewari, CTO and GM of AI and VSM at Digital.ai.
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Shaun McGirr, AI Evangelist, Dataiku, says that the standard application of AI to IT operations is to mitigate the “overload of red alerts”: too much noise, not enough signal. This is a valid concern as IT estates grow larger, but the emphasis on individual overload does nothing to address the underlying process issue. Machine Learning needs to be used in the right place and with the right data.
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