Verizon partners with Intent HQ to improve sector-leading churn prediction accuracy by up to 3.5%.
Big Data LDN Talk – Using Causal AI to Transform Customer Marketing
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.
- Date: 20th September 2023
- Time: 12pm BST
- Location: Databricks Lakehouse Theatre, Stand 738, Olympia, London
- Event Registration: Big Data LDN
Causal AI: A Growing Discipline
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.
Learn From Our Expert
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.