This, too, is what you can learn at the DDDD: How to make whisky with machine learning

At DDDD you’ll hear thoughts and practical tips on how to utilize data in design. This year’s theme is Augmented Creativity, but on this full-day event there will also be sessions about the landscapes of data and creating space. Here are Weeklys picks from the programme!

Does asking the user only lead to the most obvious, conventional and average solutions without  imagination and vision?

The lead designer from Frantic Kaisa Ruotsalainen talks about the question: Can you innovate by asking the users? Do users and innovation efforts naturally mix? Can anything innovative come out of involving the user? She argues that in order to support innovation, teams should not settle for only quantitative and qualitative data, but mix them with co-design and experimentation with users.

Managing customer insight for design

Large organizations hold large amounts of customer data. As design practice matures, the needs for accurate customer insight surface. Pia Hannukainen, the Senior Specialist on Customer Value Creation from OP Financial Group sheds light on how managing different types of customer data is organized at OP Financial Group.

Augmentation, Amputation, Dehumanisation – towards life-centered design

Samim Winiger, the executive Director and a Human from samim.io, explores the implications of ubiquitous machine learning powered augmentation systems, and it’s impact on human culture – both positive and negative. It provides a framework to think about the design and usage of such systems, in the context of a life-centric praxis in times of climate change.

Beautiful Anomalies: Crafting for dissonance, friction and poetry in the automated design process

Andreas Markdalen, the Executive Creative Director from frog lets us imagine a future in which the design processes have been optimised to perfection; where processes are automated, creativity augmented, systems are open source, and where our experiences are increasingly gentrified and generic. In this context, he explores and provokes thoughts around themes like poetic resilience in craft, creative dissonance and de-centralized brands.

How whisky can be made with machine learning and what will happen next?

So far few have attempted to make complex consumer products’ designs with AI. Mackmyra’s world-first machine learning generated whisky is what does just this. In this talk by Jarno Kartela, Machine Learning Partner from Fourkind Computational creativity, we’ll hear why it will have implications to multiple industries.

And last but not least:
Where does data end and design begin? Can we find a way to collaborate seamlessly with differently motivated people?

“The effective and actionable collaboration requires shared language, mutual understanding and respect. One can not exist without the other. This talk explores how can we get the data-driven design teams to realize their best potential,” speaker Ulla Jones from DNA describe her presentation.

And much more.

See the full programme and all the speakers and get your tickets here.
The event is powered by DNA and Frantic.