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Day 2 - 7th September

08:30AM

Registration Opens

10:00AM

Robert Dargavel Smith

Head of Data Science, Executive Director

IHS Markit

Associated Talks:

10:00AM - Day 2

View Data & Analytics: Chairperson’s Welcome

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Data & Analytics: Chairperson’s Welcome

. Robert Dargavel Smith, Head of Data Science, Executive Director, IHS Markit

10:20AM

Ram Chakravarti

Chief Technology Officer

BMC Software

Associated Talks:

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

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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. 
. Ram Chakravarti, Chief Technology Officer, BMC Software

10:50AM

Gabriel Hughes

CEO

Metageni

Associated Talks:

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

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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
. Gabriel Hughes, CEO, Metageni

11:20AM

Robert Dargavel Smith

Head of Data Science, Executive Director

IHS Markit

Associated Talks:

10:00AM - Day 2

View Data & Analytics: Chairperson’s Welcome

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Mike Lavigne

Head of Experience Strategy & Design

Nissan

Associated Talks:

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

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Anita Patel

Data Scientist

Bank of America Merrill Lynch

Associated Talks:

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

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Rishabh Mehrotra

Staff Research Scientist & Research Lead

Spotify

Associated Talks:

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

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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 
Moderator: . Robert Dargavel Smith, Head of Data Science, Executive Director, IHS Markit
. Mike Lavigne, Head of Experience Strategy & Design, Nissan
. Anita Patel, Data Scientist, Bank of America Merrill Lynch
. Rishabh Mehrotra, Staff Research Scientist & Research Lead, Spotify

12:00PM

Anita Patel

Data Scientist

Bank of America Merrill Lynch

Associated Talks:

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

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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.
. Anita Patel, Data Scientist, Bank of America Merrill Lynch

12:20PM

Networking Break

02:20PM

Robert Dargavel Smith

Head of Data Science, Executive Director

IHS Markit

Associated Talks:

10:00AM - Day 2

View Data & Analytics: Chairperson’s Welcome

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Subrata Bose

Vice President Digital Diagnostic, Head General Clinical imaging Services

Bayer

Associated Talks:

11:20AM - Day 2

View ON-DEMAND PANEL: Making sense of your data

02:20PM - Day 2

View Panel: Making sense of your data

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Mark Wilson

Head of Data Governance

Handelsbanken UK

Associated Talks:

11:20AM - Day 2

View ON-DEMAND PANEL: Making sense of your data

02:20PM - Day 2

View Panel: Making sense of your data

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Regardt Jacobs

Senior Solution Engineer

BMC Software

Associated Talks:

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

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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 
Moderator: . Robert Dargavel Smith, Head of Data Science, Executive Director, IHS Markit
. Subrata Bose, Vice President Digital Diagnostic, Head General Clinical imaging Services, Bayer
. Mark Wilson, Head of Data Governance, Handelsbanken UK
. Regardt Jacobs, Senior Solution Engineer, BMC Software

03:00PM

Rishabh Mehrotra

Staff Research Scientist & Research Lead

Spotify

Associated Talks:

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

View Full Info

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.
. Rishabh Mehrotra, Staff Research Scientist & Research Lead, Spotify

03:20PM

End of Conference

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