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8-9 Oct 2018: Training
9-11 Oct 2018: Tutorials & Conference
London, UK
Johnnie Ball

Johnnie Ball
Chief Data Scientist, Fluidly

Website

Johnnie Ball is chief data scientist at Fluidly, a company that applies machine learning to transaction data from cloud accounting packages and bank accounts to automate the forecasting, optimization, and protection of cashflow. Johnnie spent his early career as an interest rates trader at an major investment bank before deciding to return to academia to study computational statistics and machine learning at UCL. Over his subsequent career, Johnnie has been a data scientist at a hedge fund and an energy company and a cohort member at deep tech startup accelerator Entrepreneur First.

Sessions

16:50–17:30 Thursday, 11 October 2018
AI in business forecasting: Lessons from building an intelligent cashflow engine
Impact of AI on Business and Society
 Location: King's Suite - Balmoral
Secondary topics:  Financial Services, Temporal data and time-series
Johnnie Ball (Fluidly)
Average rating: *****
(5.00, 1 rating)
Cashflow is responsible for 80–90% of UK SME failure. Fluidly uses the wealth of financial data available through APIs to instantly predict cashflow. Johnnie Ball details how the company built an automated cashflow engine, explores the challenges faced in applying AI to financial data, and explains how machine learning can redefine how we think about established approaches to modeling. Read more.