Using AI to improve innovation experiments: The Recording

Last week, we sat down with Claus Berthou-Madsen, Head of Prototype at Telia for this unique, deep-dive look at how AI tools are transforming the way leading corporate innovation teams test, de-risk, and validate new ideas

We looked at the importance of behavioural science-based data and the need for AI tools to be built on accurate and unbiased information. We also talked through the potential for AI to democratise innovation in corporations and imagined a not-too-distant future where AI agents play a significant role in the future of corporate innovation.

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Key takeaways:

- Traditional methods of testing and validating new ideas in corporates are flawed and lead to poor outcomes.

- AI can improve the efficiency and effectiveness of experimentation and innovation processes in corporations.

- The introduction of AI tools can democratise innovation by opening up the idea space to different actors within the organisation.

- AI agents may eventually take over many tasks in the innovation process, but human expertise will still be needed to train and guide them.

- Synthetic databases have the potential to revolutionise experimentation by allowing for testing and validation in a controlled environment.

- Corporations need to invest in AI expertise and bridge the gap between strategy and experimentation to stay competitive in the future.

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Here's what we covered:

00:00 AI's Role in Solving Customer Problems

03:40 Removing Biases and Gathering Real Data

09:17 Democratizing Innovation with AI

12:30 Transforming Innovation and Marketing with AI

17:48 Increasing Interest with AI in Marketing

21:05 The Power of AI Tools in Experimentation

30:07 Overcoming Legal and Organisational Challenges

35:10 The Role of AI in Experimentation

39:10 The Future of Corporate Innovation with AI

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