Digital transformation

2025-11-04

Beyond the numbers: what sustainable cloud and AI should look like

In our previous article, we dug into the raw numbers behind cloud and AI energy use. But sustainability isn’t only about terawatt-hours and cooling systems. It’s also about choices — the strategic, architectural, and operational decisions that shape how digital infrastructure behaves in the real world

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Written by Yngve Sandal

2025-10-02

Sustainability in the Cloud and Generative AI

When you ask ChatGPT a question, it feels almost magical—the words appear instantly, as if conjured from thin air. But nothing digital is truly weightless. Every answer has a physical cost in electricity, and often, in water. As AI grows more powerful and more widely used, so does its environmental footprint.

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Written by Yngve Sandal

2025-07-08

Understanding Agentic AI and Explainable AI

The importance of understanding Agentic AI and Explainable AI - potential, limitations and associated risks

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Written by Alexander Dolk…

2025-07-02

A discussion on digital innovation, digital sovereignty and future competitiveness

We are approaching this year's summer break in Scandinavia and before the holidays begin, I am writing down some reflections from some of the events, feelings and facts that have characterised my ‘spring season’.

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Written by Fredrik Svensson

2025-03-27

Create your own OSPO (Open Source Program Office)

The importance of tech- and digital innovation has been vital to the success and efficiency of private and public organisations for a long time. If you don’t have the capacity or willingness to constantly evolve your business in these areas, you risk becoming obsolete or even out of business in a near future.

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Written by Fredrik Svensson

2024-11-29

AI Ready Model – Business Development & Innovation

Many of us have begun exploring AI technology and discovered useful applications, like summarising meeting notes, translating text, or refining CVs. While these are helpful, their business value is limited. To fully harness AI's potential, organisations need a model that includes Business Development & Innovation.

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Written by Fredrik Svensson

2024-11-14

AI Ready Model – Security & Data Protection

Follow as we explore "Security & Data Protection" as a crucial capability for AI initiatives. Understanding these complex considerations is essential for all projects, making it vital to include them in the shared knowledge base. What are the key concerns, decisions, and risks associated with AI security and data protection?

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Written by Fredrik Svensson

2024-11-12

AI Ready Model – Technology

Explore our "AI Ready Model" to seamlessly integrate cutting-edge AI technology into your digital innovation strategy. With rapidly evolving AI models, you can enhance tasks like translation, CV writing, and coding. Trust and data security are crucial, especially in professional settings. Ensure compliance and protect your business data while leveraging AI's potential.

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Written by Fredrik Svensson

2024-10-21

AI Ready Model – AI Competency Center Capability (AICC)

In previous posts, we outlined a process to become "AI Ready." This approach is a general guide for adopting new technologies and managing change. To succeed, it's crucial to integrate specific AI capabilities over time, ensuring they are accessible across your organization. These can include knowledge, technology, methodology, experience, and resources essential for initiating and supporting AI projects.

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Written by Fredrik Svensson

2024-10-03

AI Ready Model – Manage and Develop

The concluding stage in the "AI Ready" process map is known as the "Manage and Develop" phase. This phase is designed to ensure that your business has established routines for operating, supporting, maintaining, and further developing your AI use case once it's integrated into your operations.