Stories by George Dragatsis
![Story image](../../../../../uploads/story/2024/07/05/preview_George_Dragatsis_2.webp)
Evolving a data centre into an Artificial Intelligence factory
This month
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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.
![Story image](../../../../../uploads/story/2024/02/08/preview_Screen_Shot_2023-.webp)
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'.
![Story image](../../../../../uploads/story/2023/12/20/preview_george_dragatsis.webp)
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.
![Story image](../../../../../uploads/story/2023/11/23/preview_george_dragatsis.webp)
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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ai
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ml
As 2024 unfolds, it will be the organisations best able to harness these resources that will be positioned for success.
![Story image](../../../../../uploads/story/2023/07/03/preview_george_dragatsis.webp)
Keeping pace with complex cloud security best practices
Mon, 3rd Jul 2023
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datacentre infrastructure
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cloud security
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storage
The ever-growing complexity of cloud environments means organisations must continually refine their approach to security to achieve operational excellence.
![Story image](../../../../../uploads/story/2022/10/06/preview_george_dragatsis.webp)
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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hitachi vantara
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?.