Retail & Consumer Group
Big Data in Retail – should we let curiosity kill the stat?
Thursday 21 March
This event is supported by Mintel
Big data is a big topic in retail, everyone is on the trail of more data, more analysis, more technology and many are struggling to keep pace. But big data conversations are being eclipsed by the latest buzz words – AI and machine learning, and that is where the interesting conversations start – who rules? Move over autocracy and meritocracy, we now have ‘arithmocracy.’
Data science provides retail with a huge opportunity, but also a great challenge given the speed at which it can make or break companies. Our panellists, one from the tech world and one from the creative world, come from different viewpoints but are clear on one thing: In this time of digital Darwinism, we need to be a bit more curious, a bit more creative, a bit more human if we are going to adapt rather than die.
Doug Laughlen (MBA 97J) is CEO of Kaiasm. Doug has a passion to change the world. He has had excellent experience of this as an early employee of Cisco in the ’90s “building the internet” and in trying to invent YouTube before they did! As CEO of Kaiasm, he is deeply involved in demand economics… driving better business by using data to give a deep understanding of demand ahead of supply and how to create a purple ocean strategy.
Anthony Tasgal is an Author and Speaker. Tas is a man of many lanyards. He runs his own training company, he is a Course Director for the Chartered Institute of Marketing and the Market Research Society, he gives engaging keynotes at top international conferences, lectures at universities and is a freelance ad agency planner. In his spare time he writes award winning books and is a trustee of his local independent cinema. Much of his work focuses around behavioural economics, creative thinking and what he refers to as ‘insightment’.
VENUE Mintel, 4 Playhouse Yard, London EC4V 5EX
TIME 18:30 for 19:00
COST Members £25 Members’ guests (non INSEAD) £35
REFRESHMENTS Wine and canapés