Luxury is rooted in rarity. As "luxury" goods become mass products, people are turning towards unique, non-reproducable experiences to fulfill a desire for the rare. In this piece, a truffle hunter in Italy describes what it takes—from generations of passed down knowledge to the climate the soil— to produce white truffles, which even now, cannot be intentionally cultivated.
Madsbjerg argues that unless companies take pains to understand the human beings represented in their data sets, they risk losing touch with the markets they’re serving.
ReD has led a “quiet revolution” in business theory by focusing on immersion in the day-to-day world of the customer rather than taking a distant, data-driven approach. The firm places phenomenology – the science of how people experience the world – at the centre of its method.
Christian Madsbjerg speaks to Manuela Saragos about why human intelligence is still a vital component in analysing all our data.
Demetri Kofinas speaks with Christian Madsbjerg about the history of western philosophy, artificial intelligence, and how the humanities can help businesses solve their hardest problems.
"We need people who can develop medicine, and we need the people who can figure out how to get people to take their medicine. We need both” - Madsbjerg on NPR's The Takeaway.
Data is important, but with Madsbjerg’s approach to sensemaking, we have a better chance of putting it in the proper context and using it to enrich our lives and our understanding.
When you rely on algorithms for everything from your commute to work to your lunch order, Sensemaking suggests, you aren’t just altering the way you do things. You are changing the very filter through which you view reality.
In his article "The Right Bedside Novel Could Do Wonders For Your Career," George Anders discusses Christian Madsbjerg's new book "Sensemaking."
Christian Madsbjerg discusses Sensemaking and Big Data in this segment of The Economist Radio.
There's a cultural bias in business, tech and otherwise, against any information that can't be quantified—that is "soft," subjective, fuzzy. [...] But it is where good ideas come from—and while the data it relies on may not be reducible to numbers, there is actually nothing "fuzzy" about it.