IN SPOTLIGHT

Shaping the Future of Taste: Inside Givaudan’s Foresight Journey

Before the world caught on, Givaudan was already designing the taste experiences of tomorrow. We sit down with Igor Parshin, Customer Foresight Lead at Givaudan to talk about how the company turns early change signals into the flavours that will define the future.

 
 

BLOG BY FUTURES PLATFORM

 

Future Trends, Foresight Best Practices Charlotte Korhonen, Marianna Mäki-Teeri, Tarian Jenkins Future Trends, Foresight Best Practices Charlotte Korhonen, Marianna Mäki-Teeri, Tarian Jenkins

The Future of AI-Driven Strategic Foresight: Insights from Experts

Our team of futurists took the stage as guest speakers at a Foresight Europe Network event, where the foresight community gathered to explore the future of strategic foresight in an increasingly AI-driven world. Here are the highlights.

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Foresight Best Practices Gökce Sandal Foresight Best Practices Gökce Sandal

Trend Cards on Futures Platform and How to Use Them

Curated by our team of futurists, more than 800 trend card features compact, easy-to-digest analyses on future changes. Many of the cards also feature two scenario descriptions that explore alternative future development paths for the trend. Save time on horizon scanning and explore a rich library of trend analyses by leading futurists

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Foresight Best Practices Max Stucki Foresight Best Practices Max Stucki

Foresight Methods: Introducing Our New Article Series

By analysing data from various sources, foresight methods help make sense of today's world, make assessments about the world of tomorrow, and proactively answer to the opportunities and challenges that will define the future. In this introduction, we will discuss why foresight is necessary and how it helps you keep up with continuous change.

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Foresight Best Practices Gökce Sandal Foresight Best Practices Gökce Sandal

Is Human-Machine Collaboration the Next Step in Strategic Foresight?

Although it is no news anymore that AI is better than us humans at spotting patterns across large data sets, machine intelligence is still not advanced enough to understand correlation and causality, which are among humans’ strong suits. Joining these two forces can help organisations streamline foresight processes and save time.

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