2025-07-08
Understanding Agentic AI and Explainable AI
The importance of understanding Agentic AI and Explainable AI - potential, limitations and associated risks
Written by Alexander Dolk…
Digital transformation
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’.
Written by Susannah Eriksson
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.
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.
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?
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.
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.
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.
Written by Susannah Eriksson
2024-09-23
AI Ready Model - Use case roll-out
After having tested your AI technology and verified your assumptions through a Proof of Concept (PoC), it is time to advance to the "Use Case Roll-Out" phase. This step is often overlooked in tech-driven projects. After validation and gaining organisational acceptance, tech teams often jump to the next challenge, neglecting to establish frameworks for maintenance and change management.
Written by Fredrik Svensson
2024-09-16
AI Ready Model – Proof of Concept
After increasing AI knowledge within your team/organisation, choose potential use cases for a Proof of Concept (PoC) to test AI implementation. Prioritise impactful cases with defined success criteria, including technical, training, security aspects, and business KPIs. Successful PoCs can be turned into production environments to showcase real value and potential business gains.
Written by Fredrik Svensson