Businesses are investing increasing amounts of their money and resources into public and private clouds
- $597bn in 2023 according to Gartner
- Forrester predicts that worldwide enterprise spending on cloud infrastructure services will top $1 trillion by 2026.
Now GenAI has arrived, businesses need to accelerate their multi-cloud strategies faster than ever. But all this comes at a cost and that cost is not insignificant.
Axel Rogaischus is a leading technology expert in the car manufacturing sector and is the perfect person to shed light on the best multi-hybrid-cloud business strategies.
What did Axel and I talk about❓
📌 What has been happening in the world of cloud computing today.
📍 Does GenAI mean businesses have no choice but to invest more money in cloud just to survive never mind get ahead❓ Generative AI. It is a technology hot on the heels of Web 3 and the metaverse. The data and infrastructure requirements to enable a data driven culture that enables allows businesses to gain competitive advantage from AI appear substantial in terms of cost and resources.
📌 What are some of the solutions open to businesses to maximise the benefits they get from their investments in multi-hybrid-cloud❓
📍 Business need to adopt a holistic multi-hybrid-cloud strategy as our starting point. They need to bring financial accountability and make informed, data-driven decisions when managing trade-offs between speed, cost, and performance. So, what options have they got to do this❓
📌 How important is a ‘cloud first culture’❓
📍 How can businesses build a wonderful cloud roadmap using AIOPS / FINOPS / Cloud Cost Management / GenAI?
End.
If you are leading your businesses strategic transformation and need greater clarity, stronger execution and measurable results, let’s connect.
🌎 Website: www.KieranGilmurray.com
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AI Transparency Notice: This podcast uses a hybrid format. When an episode features one of Kieran Gilmurray’s written articles, the narration is generated using a synthetic clone of his voice via ElevenLabs AI (the underlying article text is entirely human-authored). Episode descriptions and summaries are assisted by AI and should be considered unedited by a human unless specified.
