Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK
Jonathan Leslie

Jonathan Leslie
Head of Data Science, Pivigo

Website

Jonathan Leslie is the head of data science at Pivigo, where he works with business partners to develop data science solutions that make the most of their data, including in-depth analysis of existing data and predictive analytics for future business needs. He also programs, mentors, and manages teams of data scientists on projects in a wide variety of business domains.

Sessions

11:15–11:55 Wednesday, 23 May 2018
Revolutionizing the newsroom with artificial intelligence
Data science and machine learning, Data-driven business management, Emerging technologies and case studies, Expo Hall
 Location: Expo Hall Level: Beginner
Secondary topics:  Media, Advertising, Entertainment
Dan Gilbert (News UK), Jonathan Leslie (Pivigo)
Average rating: ***..
(3.75, 4 ratings)
In the era of 24-hour news and online newspapers, editors in the newsroom must quickly and efficiently make sense of the enormous amounts of data that they encounter and make decisions about their content. Daniel Gilbert and Jonathan Leslie discuss an ongoing partnership between News UK and Pivigo in which a team of data science trainees helped develop an AI platform to assist in this task. Read more.
16:35–17:15 Thursday, 24 May 2018
Predicting rent arrears: Leveraging data science in the public sector
Data science and machine learning, Emerging technologies and case studies
 Location: Capital Suite 10/11 Level: Beginner
Secondary topics:  Financial Services
Jonathan Leslie (Pivigo), Tom Harrison (Hackney Council), Maryam Qurashi (Pivigo)
Average rating: *****
(5.00, 5 ratings)
One major challenge to social housing is determining how best to target interventions when tenants fall behind on rent payments. Jonathan Leslie, Maryam Qurashi, and Tom Harrison discuss a recent project in which a team of data scientist trainees helped Hackney Council devise a more efficient, targeted strategy to detect and prioritize such situations. Read more.