The Creme-RIFM Model is the most comprehensive of its kind. We built the model on real-life data from more than 41,000 people on how consumers use fragranced products (how often and where on the body) on a daily basis.
Embracing uncertainty – transitioning from trend forecasts to future scenarios – How data and AI can lead the way
Prof. Fanning has been helping develop applications around genome sequencing to minimise risks in global food production and improve food safety decision-making. Two practical outcomes
Gain critical business intelligence
from shared, anonymized data.