Day 2 - 2 December 2022
10:30AM
(GMT)
Jarmo Eskelinen
Executive Director, Data Driven Innovation Initiative
University of Edinburgh

10:30AM - Day 2
View Applied Data & Analytics: Chairpersons Welcome
Applied Data & Analytics: Chairpersons Welcome
Chairpersons welcome and opening remarks.
10:45AM
(GMT)
Matt Linder
Senior Machine Learning Engineer
Headspace

11:45AM - Day 2
View VIRTUAL PRESENTATION: Mindful AI at Headspace – From Impersonal Statistical Modeling to Personalized Care

10:45AM - Day 2
View Presentation: Mindful AI at Headspace – From Impersonal Statistical Modeling to Personalized Care

04:20PM - Day 1
View Presentation: Mindful AI at Headspace – From Impersonal Statistical Modeling to Personalized Care
Presentation: Mindful AI at Headspace – From Impersonal Statistical Modeling to Personalized Care
Headspace is a values-first company: through 10 years of innovating the use of technology in meditation and mindfulness, the focus has never shifted from making sure that our approach to technological implementation is as mindful as our content.
Over the last year, much of that innovation has centered around ML-powered personalization: from in-app content recommendation to push notifications to AI-driven dynamic welcome flows. But implementing ML/AI solutions brings unique challenges: personalization is inherently intimate and demands great sensitivity in the ways we use and communicate member data.
In this talk, we’ll explore how Headspace balances the intimate and data-centric process of building ML solutions while maintaining our brand identity as a mindful actor.
Pre-recorded session
11:15AM
(GMT)
Gurpreet Muctor
Chief Architect & Data Officer | Smart Cities
Westminster City Council

11:15AM - Day 2
View Presentation: Powering Smart Cities through Data
Presentation: Powering Smart Cities through Data
To follow soon …
11:45AM
Lunch & Networking Break
01:00PM
(GMT)
Boyu Fan
Data Scientist
Condé Nast

01:00PM - Day 2
View Presentation: Generating Targeted Advertising at Scale with Machine Learning
Presentation: Generating Targeted Advertising at Scale with Machine Learning
To follow soon …
01:30PM
(GMT)
Andrew Rimell
Engine Environmental Protection Engineer (Data Analysis/Science Expert)
Rolls-Royce

01:30PM - Day 2
View Presentation: Big Data Analytics for Effective Aircraft Route Analysis
Steluta Iordache
Lead Data Scientist (Civil Aerospace)
Rolls-Royce

01:30PM - Day 2
View Presentation: Big Data Analytics for Effective Aircraft Route Analysis
Presentation: Big Data Analytics for Effective Aircraft Route Analysis
To follow soon …
02:00PM
(GMT)
Jarmo Eskelinen
Executive Director, Data Driven Innovation Initiative
University of Edinburgh

10:30AM - Day 2
View Applied Data & Analytics: Chairpersons Welcome
Jochen Kaiser
Chief Data Officer Mercedes-Benz Cars & Head of Centre of Excellence Big Data and Advanced Analytics
Mercedes-Benz AG

02:00PM - Day 2
View Panel: Data led Intelligent Decision Making
Lucas Stone
Senior Solutions Consultant
Snowplow

10:55AM - Day 2
View Presentation: Behavioral Data Creation for AI – Delivering Value and Insights

02:00PM - Day 2
View Panel: Data led Intelligent Decision Making
Tomas Navarro
Future Projects Engineer
ESA (European Space Agency)

10:25AM - Day 2
View Presentation: Disruptive Technologies for the AI of the Future

02:00PM - Day 2
View Panel: Data led Intelligent Decision Making

01:00PM - Day 1
View A Cognitive Future for Space Exploration

12:00PM - Day 2
View Panel: Conversational AI
Panel: Data led Intelligent Decision Making
- Identifying target-rich, high-value data that can be used to generate intelligence.
- Transitioning from big data to ‘right’ data analytics – how to dissect the data you need.
- Collection, storage, exchangeability and security – how to ensure optimised processing of data for optimum response and actions.
- Data as the core of digital – aligning strategies to maximise data capabilities.
02:40PM
(GMT)
Iryna Kurylets
Product Director, Cyber & Intelligence, Payments
Mastercard

02:40PM - Day 2
View Presentation: Payment Fraud Decisioning – Prevention and Detection Techniques with ML
Presentation: Payment Fraud Decisioning – Prevention and Detection Techniques with ML
- Network externalities strategy in AI and ML.
- Optimal decisioning: balance between fraud reduction and healthy approval rates.
- The future of fraud management.