AI Transformation

Service / Offering
1y ago update

To get the most from AI solutions, organizations need to transform the way they work. The technology is most effective when every part of the business collaborates closely. This organizational change is what we call AI Transformation. 

What artificial intelligence offers is a new set of tools that enable organizations to work in novel ways. It is an umbrella term encompassing methods and solutions which we can use to create new insights. The solutions being developed today can analyze data, automate processes or perform enhanced quality assurance at levels never possible before.

Beyond the technical implementation, there is a need for analysis of the consequences of using such solutions. We need to understand what legislative changes should be made, for instance on what 'data' looks like. Often a completely new way of working is called for, where internal structures, skillsets, and organizational cultures must change. 

Every role in an organization must learn the implications, benefits, and far-reaching effects of adopting AI solutions as it relates to their area. Once professionals inform themselves and collaborate on the whole solution, AI methods can greatly enhance teams' abilities to meet their goals. 

To find new ways of working and build an understanding of the possibilities and challenges of AI, the organization as a whole needs to be developed and changed. This challenge is known as AI transformation. Exactly how that organizational change is implemented and what it results in will vary from case to case. Factors that affect it include industry affiliation, current organizational structure, technical competence, and access to data.

Regardless of the starting point, there is a systematic approach that all organizations can use as a model. Often the really big challenge along the way is leadership and organizational culture rather than technology!

In AI Sweden's partner offering, all this is packaged within the framework of AI Transformation.

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A process on how to execute your AI adoption with a systematic and structured approach. This should be taken as a thought model on the different phases and initiatives that needs to be executed on your AI adoption journey. The process might look linear but many of the phases happens in paralleling are cyclical. Every cycle in the process you will have gained more knowledge, built more enablers and reached a higher maturity.

Attributes

Usecases & Inspiration, Ecosystem & Partners, Execution, Competence & Expertise, Culture & Mindset, Organization, Vision & Strategy
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Resources

Introduktion till AI Transformation och hur man systematiskt inför AI i organisationer.

Introduction to the AI Transformation area and how to systematically work with adoption of AI in organizations.