Day 2 - 7th September
08:30AM
(GMT)
Registration Opens
10:00AM
(GMT)
Robert Dargavel Smith
Head of Data Science, Executive Director
IHS Markit
10:00AM - Day 2
View Data & Analytics: Chairperson’s Welcome
Data & Analytics: Chairperson’s Welcome
10:20AM
(GMT)
Ram Chakravarti
Chief Technology Officer
BMC Software
09:30AM - Day 2
View VIRTUAL PRESENTATION: DataOps: Value Realization in Data & Analytics Transformation
10:20AM - Day 2
View Keynote: DataOps – Value Realization in Data & Analytics Transformation
Keynote: DataOps – Value Realization in Data & Analytics Transformation
- As enterprises continue to amass data at exponential rates it’s become more imperative to unlock its value.
- Traditional approaches to data and analytics transformations have seen high failure rates — or never achieve their full potential.
- In this session, BMC Chief Technology Officer Ram Chakravarti shares a recipe for success that rapidly turns new insights into fully operationalized production deliverables – all designed to unlock tangible business value from data.
10:50AM
(GMT)
Gabriel Hughes
CEO
Metageni
10:20AM - Day 2
View VIRTUAL PRESENTATION: Boosting e-commerce performance with predictive data analytics
10:50AM - Day 2
View Boosting e-commerce performance with predictive data analytics
Boosting e-commerce performance with predictive data analytics
- Is it worth it? Understanding the value of data analytics for e-commerce
- Evaluating and optimising the customer journey to purchase
- The potential of predictive analytics for customer relationships online
11:20AM
(GMT)
Robert Dargavel Smith
Head of Data Science, Executive Director
IHS Markit
10:00AM - Day 2
View Data & Analytics: Chairperson’s Welcome
Mike Lavigne
Head of Experience Strategy & Design
Nissan
10:40AM - Day 2
View ON-DEMAND PANEL: Data analytics for intelligent decision making
11:20AM - Day 2
View Panel: Data analytics for intelligent decision making
Anita Patel
Data Scientist
Bank of America Merrill Lynch
10:40AM - Day 2
View ON-DEMAND PANEL: Data analytics for intelligent decision making
11:20AM - Day 2
View Panel: Data analytics for intelligent decision making
12:00PM - Day 2
View Bringing AI to Equity Capital Markets
Rishabh Mehrotra
Staff Research Scientist & Research Lead
Spotify
10:40AM - Day 2
View ON-DEMAND PANEL: Data analytics for intelligent decision making
11:20AM - Day 2
View Panel: Data analytics for intelligent decision making
03:00PM - Day 2
View Optimizing Platforms for Multiple Objectives with ML
Panel: Data analytics for intelligent decision making
- Identifying target-rich, high-value data that can be used to generate business intelligence
- How to leverage data and analytics to optimize every decision, process and action
- Real time data analytics in practice – examples of how data is creating business efficiency and revolutionising working practices
12:00PM
(GMT)
Anita Patel
Data Scientist
Bank of America Merrill Lynch
10:40AM - Day 2
View ON-DEMAND PANEL: Data analytics for intelligent decision making
11:20AM - Day 2
View Panel: Data analytics for intelligent decision making
12:00PM - Day 2
View Bringing AI to Equity Capital Markets
Bringing AI to Equity Capital Markets
- Introducing BofA PRIAM TM – an artificial intelligence system that helps optimize demand for equity offerings.
- Using a network of supervised machine learning algorithms to understand relationship trends between ECM deals and investors.
- Combining human insight and advanced analytics to achieve optimal execution for clients.
- Responsible AI – governance via an independent review process and constant monitoring to ensure safe deployment and transparency while aiding decision making.
12:20PM
Networking Break
02:20PM
(GMT)
Robert Dargavel Smith
Head of Data Science, Executive Director
IHS Markit
10:00AM - Day 2
View Data & Analytics: Chairperson’s Welcome
Subrata Bose
Vice President Digital Diagnostic, Head General Clinical imaging Services
Bayer
11:20AM - Day 2
View ON-DEMAND PANEL: Making sense of your data
02:20PM - Day 2
View Panel: Making sense of your data
Mark Wilson
Head of Data Governance
Handelsbanken UK
11:20AM - Day 2
View ON-DEMAND PANEL: Making sense of your data
02:20PM - Day 2
View Panel: Making sense of your data
Regardt Jacobs
Senior Solution Engineer
BMC Software
11:20AM - Day 2
View ON-DEMAND PANEL: Making sense of your data
12:30PM - Day 1
View VIRTUAL PRESENTATION: How Orchestration Optimizes Value
02:20PM - Day 2
View Panel: Making sense of your data
03:00PM - Day 1
View How Orchestration Optimizes Value
Panel: Making sense of your data
- Resource management – Utilising your old data and storage
- Identifying and breaking down silos
- Tips for extending business capability of your data projects and delivering insights
- Keeping your data lakes clear and navigable
03:00PM
(GMT)
Rishabh Mehrotra
Staff Research Scientist & Research Lead
Spotify
10:40AM - Day 2
View ON-DEMAND PANEL: Data analytics for intelligent decision making
11:20AM - Day 2
View Panel: Data analytics for intelligent decision making
03:00PM - Day 2
View Optimizing Platforms for Multiple Objectives with ML
Optimizing Platforms for Multiple Objectives with ML
- Multi-sided platforms have witnessed an explosive growth by facilitating efficient interactions between multiple stakeholders, including e.g. buyers and retailers (Amazon), guests and hosts (AirBnb), riders and drivers (Uber), and listeners and artists (Spotify). A large number of such platforms rely on machine learning powered matching engines connecting consumers with suppliers by acting as a central platform, thereby finding the right fit and efficiently mediating interactions between the two sides.
- In this talk we discuss a number of problems which need to be addressed when developing a search & recommendation framework powering multi-stakeholder platforms. We begin by describing a contextual bandit model developed for serving explainable music recommendations to users and showcase the need for explicitly considering supplier-centric objectives during optimization.
- We highlight the importance of a multi-objective ranking/recommendation and discuss different ways in which stakeholders specify their objectives. Finally, we demonstrate how enhanced user and content understanding helps us in developing better models to power multi-stakeholder platforms.
