Smart Data & Analytics
As researchers and insight professionals, we worry about unknown bias and whether AI algorithms reflect sufficiently diverse groups. Can Google’s new Explainable AI tools help build confidence in the outcomes and reduce risk when basing...
Big data and representativity: ‘Data is not research’
We tend to think that vast amounts of data are representative by definition, but that is not necessarily the case. Big data should also be subjected to stress tests. Three experts enlighten us on the...
Alex ‘Sandy’ Pentland on new data sources and AI
MIT Professor, Alex ‘Sandy’ Pentland talks about his pioneering work in wearables and data protection. He also debunks a few myths about AI and machine learning....
Centricity Analytics’ Audrey Messer on dealing with bias
Audrey Messer, founder and chief analytics officer of Centricity Analytics, explains how bias can be tackled. She also explains how organisations can implement analytics....
AI: Friend or foe? Five tips on how to add automation to market research
From Uber’s self-driving cars to Amazon’s warehouse robots, artificial intelligence (AI) seems to be reaching human-level dexterity nearly everywhere. You might be wondering like us: how are brands actually taking advantage of next-gen automation innovation...
Predicting the future: What is data science after all, and how human is it?
‘What separates humans from machines is the fact that we are creative’ Data science has been revolutionising the insights industry. If we were to believe the media, artificial intelligence (AI) and machine learning (ML) applications...