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Day 2 - 7th September

08:30AM

Registration Opens

09:15AM

Robert Dargavel Smith

Head of Data Science, Executive Director

IHS Markit

Associated Talks:

09:15AM - 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

09:30AM

Dan Taylor

Director of Data Technology

Trainline

Associated Talks:

09:30AM - Day 2

View Building a real-time data platform

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Building a real-time data platform

  • How Trainline’s data platform powers real-time data-driven product innovations around customer engagement and personalisation
  • Using a real-time data stack to solve unique problems
  • Delivering cross-functional data product innovations
. Dan Taylor, Director of Data Technology, Trainline

09:50AM

Ram Chakravarti

Chief Technology Officer

BMC Software

Associated Talks:

09:30AM - Day 2

View VIRTUAL PRESENTATION: DataOps: Value Realization in Data & Analytics Transformation

09:50AM - 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

10:20AM

Anita Patel

Data Scientist

Bank of America Merrill Lynch

Associated Talks:

10:20AM - Day 2

View Quantifying the customer

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Quantifying the customer

  • From customer insights to customer action – how to capture intent 
  • Using this data for activation 
  • Maximising retention and profit 
. Anita Patel, Data Scientist, Bank of America Merrill Lynch

10:40AM

Gabriel Hughes

CEO

Metageni

Associated Talks:

10:20AM - Day 2

View VIRTUAL PRESENTATION: Boosting e-commerce performance with predictive data analytics

10:40AM - 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

11:00AM

Networking Break

11:20AM

Robert Dargavel Smith

Head of Data Science, Executive Director

IHS Markit

Associated Talks:

09:15AM - Day 2

View Data & Analytics: Chairperson’s Welcome

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Senior Rep, Squirro

Associated Talks:

11:00AM - Day 1

View VIRTUAL PRESENTATION: Presentation TBC – Squirro

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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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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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

03:10PM - 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
. Senior Rep, Squirro, ,
. Mike Lavigne, Head of Experience Strategy & Design, Nissan
. Rishabh Mehrotra, Staff Research Scientist & Research Lead, Spotify

12:00PM

The missing link: using RPA for unstructured data

  • How using robots can manage and move your data from unstructured to structures 
  • Insights into use of Optical Character Recognition and Natural Language Recognition 
  • Navigating human and non-human errors 

12:20PM

Siffi Singh

Software Development Engineer

Amazon

Associated Talks:

12:20PM - Day 2

View Making Alexa more Knowledgeable

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Making Alexa more Knowledgeable

  • In an aspiration to understand the whole world and make your instantly available assistant, Alexa, a reliable advisor and companion, we need to understand and extract wide-range of knowledge from information at a very large scale.  
  • We need techniques for processing and understanding natural language to keep the knowledge fresh, and expand both qualitatively and quantitatively. 
  • In this talk, we will walk you through the process of how Alexa, the voice-based assistant, learns to be more intelligent, natural and fun for everyone, everywhere. 
. Siffi Singh, Software Development Engineer, Amazon

12:40PM

Data Solution Presentation

  • Details to follow… 

01:00PM

Networking Break

01:50PM

Afternoon Keynote: Working smarter not harder – Transforming your business post-pandemic

  • Why you should be digitalising your business processes 
  • Keeping your workforce online in the ‘new normal’ 
  • Increase predictability and performance through improved communication  

02:20PM

Wayne Butterfield

Global Head of Intelligent Automation Solutions

ISG Automation

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Mark Wilson

Head of Data Governance

Handelsbanken UK

Associated Talks:

12:50PM - 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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Tijs Monté

Senior Principal Solution Engineer

BMC Software

Associated Talks:

12:50PM - Day 2

View ON-DEMAND PANEL: Making sense of your data

12:30PM - Day 1

View VIRTUAL PRESENTATION: Why is Data Pipeline Orchestration so important?

02:20PM - Day 2

View Panel: Making sense of your data

03:00PM - Day 1

View Why is Data Pipeline Orchestration so important?

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Tatsuo Nakamura

CEO and Founder

Valuenex

Associated Talks:

12:50PM - 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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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: . Wayne Butterfield, Global Head of Intelligent Automation Solutions, ISG Automation
. Mark Wilson, Head of Data Governance, Handelsbanken UK
. Tijs Monté, Senior Principal Solution Engineer, BMC Software
. Tatsuo Nakamura, CEO and Founder, Valuenex

03:00PM

Data as a service

  • Improve the agility of your data workload and increase its reliability 
  • How using DaaS can maximise functionality and flexibility 

03:10PM

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

03:10PM - Day 2

View Optimizing Platforms for Multiple Objectives with ML

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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

03:30PM

Data Solution Presentation 2

  • Details to follow…

03:40PM

End of Conference

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