Stories by George Dragatsis
Two different ways that data is driving the cloud FinOps conversation
Last month
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storage
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private cloud
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hybrid cloud
Most organisations are onboard with the need to rightsize their cloud spend, but how can that be optimally achieved?.
Navigating the evolving world of Artificial Intelligence
Fri, 6th Sep 2024
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edge computing
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physical security
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quantum computing
Businesses are racing to adopt Generative AI, promising efficiency and competitive edge, but grappling with risks such as inaccuracy and cybersecurity.
Evolving a data centre into an Artificial Intelligence factory
Fri, 5th Jul 2024
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storage
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edutech
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power / energy
The advent of AI factories is revolutionising business operations by merging GenAI capabilities with modernised data centres, enhancing productivity and sustainability.
Simplifying the security challenge of operating in multi-cloud
Thu, 8th Feb 2024
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private cloud
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data analytics
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encryption
Overcoming the challenging complexity of multi-cloud operations requires an innovative approach to security focusing on cloud, clusters, containers, customer data and code, commonly referred to as the '5 C’s'.
Where Australian organisations go wrong in their hunt for actionable insights
Wed, 20th Dec 2023
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storage
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data analytics
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ai
Over half of all data held by organisations is ‘dark’ and unused, but it would be a brave call to suggest it holds no value.
Five technology trends to watch in 2024 for Australia and New Zealand
Thu, 23rd Nov 2023
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storage
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genai
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ai
As 2024 unfolds, it will be the organisations best able to harness these resources that will be positioned for success.
Keeping pace with complex cloud security best practices
Mon, 3rd Jul 2023
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storage
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datacentre infrastructure
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cloud security
The ever-growing complexity of cloud environments means organisations must continually refine their approach to security to achieve operational excellence.
Object Storage: A balm for what ails enterprise data management
Thu, 6th Oct 2022
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storage
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multi-cloud
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data management
The latest research says only 2.5% of data is analysed. What’s happening with the rest? Where is it, what is it, and how much of it is useful?.