Digital transformation

 
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
2024-09-23

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