From GenAI Ideas to Action

Sofie Holm Stenstrop

Head of GenAI Journey & Innovation

Ideas alone do not create value. Action does. Join Sofie Holm Stenstrop from Danske Bank and explore how structured experimentation, including hackathons, helps teams test, learn, and turn GenAI concepts into practical outcomes.

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From GenAI Ideas to Action

5 mins 48 secs

Key learning objectives:

Understand how structured experimentation enables GenAI execution and learning
Explain how cross-functional collaboration turns ideas into practical solutions
Recognise how approaches such as hackathons build capability and accelerate progress

Overview:

GenAI value is ultimately realised through execution, not intention. Progress depends on how effectively teams move from ideas to experimentation, testing concepts in real contexts and refining them based on evidence.

Approaches such as hackathons create focused environments for rapid learning, bringing together cross-functional teams to explore, prototype, and align around real problems. This accelerates both capability building and decision-making.

Structured experimentation reduces uncertainty, exposes what works, and enables organisations to focus on use cases that can deliver real impact.

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Summary

How do organisations move from GenAI ideas to real outcomes?
Moving from ideas to value requires structured experimentation. Rather than aiming for fully developed solutions upfront, teams need to test concepts quickly, learn from real-world feedback, and refine their approach. Approaches such as hackathons can help concentrate this effort into focused, hands-on sessions that accelerate progress.

Why is experimentation critical for GenAI?
GenAI outcomes are highly dependent on context, data, and workflows. Experimentation allows teams to explore what works in practice, identify limitations, and adapt quickly. This reduces uncertainty and enables better decisions about where to invest time and resources.

What role does collaboration play in execution?
Execution depends on bringing together business insight, technical expertise, and process understanding. In settings such as hackathons or cross-functional projects, this combination helps ensure that solutions are both practical and aligned to real needs.

How do teams test and refine GenAI solutions?
Teams use rapid prototyping and test-and-learn cycles to move from idea to output quickly. By building, testing, and iterating in short cycles, they can improve solutions based on feedback. Hackathons are one way to accelerate this process by creating a structured environment for rapid iteration.

How is capability developed through hands-on experimentation?
Practical experience is key to building capability. As teams experiment, they develop skills in prompting, integration, and evaluation, while also building confidence in using GenAI tools. Hands-on formats such as hackathons help reinforce this learning by making experimentation tangible and collaborative.

How does this approach reduce the risk of failed initiatives?
By grounding experimentation in real problems, data, and workflows, teams avoid investing in ideas that do not translate into value. Early testing highlights what is feasible and where challenges exist, allowing organisations to focus on use cases that can scale and deliver impact.

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Sofie Holm Stenstrop

Sofie Holm Stenstrop is the Head of GenAI Journey & Innovation area at Danske Bank. Her background is in digital transformation and business strategy. She has extensive experience in translating complex technology into something people understand, use and believe in. She is a specialist in turning ideas into real impact, and exploring how a new way of thinking changes how we work and lead.

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