We are excited to announce that Andy Cole, Global Director of Applied Data Science at Intent HQ, will be on stage presenting at this year’s Big Data LDN show. Andy is an expert on Causal AI and will be presenting how Intent HQ combines rich behavioral data with knowledge from past events to understand the influences that motivate a customer to engage positively with a subscription model business.
Causal Artificial Intelligence, refers to a branch of artificial intelligence (AI) that aims to understand and model cause-and-effect relationships in data. While traditional AI methods focus on identifying correlations and patterns in data, causal AI goes a step further by attempting to understand the underlying causes and effects driving those patterns. Causal AI seeks to answer questions such as “What caused this outcome?” or “What would happen if we intervened in a certain way?” By identifying causal relationships, AI systems can make more accurate predictions and generate actionable insights.
Andy Cole is an applied data scientist, analytics leader, and data strategist with 13 years experience delivering bleeding-edge customer machine learning and analytics strategy in the Telco, Financial Services, and Retail Sectors. Andy specializes in delivering behavioral analytics at scale.
At Intent HQ, he is spearheading the application of Causal AI, a branch of artificial intelligence that aims to understand and model cause-and-effect relationships in data.
If attention is the new currency, there simply isn’t enough of it to go around. Click-through rates are in the gutter, adblock use is growing, free reach on social isn’t free anymore, and organic search traffic is declining.
This event brings together 3000+ people from 600+ companies, 200+ speakers.
Intent HQ Market Explorer provides brands and retailers with a source of detailed and accurate information about the market and consumers in different sectors, based on the anonymized data of more than 9 million profiles in Spain.
Consumers want a personal relationship with their brands. But they also don’t want to feel as though they’re being spied on or having their personal details used inappropriately by marketers.