Filter agenda

  • Show all
  • Plenary
  • Learning Lab
  • Byte-Sized Learning
  • Knowledge Corner

Tuesday 27 September

08:00-09:00 - Registration

09:00-09:10 - Opening moment

09:10-09:25 Host Welcome

Speakers

  • Andy Gauld

    Partner, Deloitte

  • Natalie Williams

    Partner, Deloitte

09:25-09:55 Creating a greener future – the role of technology in building toward a low-carbon future

  • Exploring how we support businesses to grow responsibly and tackle some of the biggest sustainability issues of our time
  • Learning about how the use of Geospatial data and AI can help us preserve and support nature across the globe
  • Exploring case studies focussed on strategic themes such as Net zero, biodiversity and Circular Economy
  • Discovering how Deloitte and Google are responding to growing client demand, driving growth, and helping to build a low-carbon, sustainable future

Speakers

  • Justin Keeble

    Managing Director of Global Sustainability, Google Cloud

  • Hannah Routh

    Partner, Sustainability and Climate Change Advisory, Deloitte

09:55-10:00 Host Summary

Speakers

  • Andy Gauld

    Partner, Deloitte

  • Natalie Williams

    Partner, Deloitte

10:15-10:45 Byte-Sized Learning 1 – Dataiku - Scaling data science using ML Ops

  • What was the business context and issue that Aviva solved using Dataiku platform?
  • What are the other areas of ML Ops that need to be considered beyond the technology and the role of an integration partner?
  • What are the key lessons learned?
  • What does the future look like from Aviva, Dataiku and Deloitte?

Speakers

  • Tom Spencer

    Head of Customer Science, Aviva Quantum

  • Simone Larsson

    AI Strategy and Evangelism, Dataiku

  • Subhadip Roy

    Senior Manager, Deloitte

10:15-11:15 Knowledge Corner 1 – Sustainability

Speaker

  • Laila Takeh

    Director, Consulting, Deloitte

10:15-11:30 Learning Lab 1 – Practical and Hands on Machine Learning for Non Data Scientists

In your business, when looking at the opportunity and potential of Machine Learning, do you think any of the following?

  • We know all there is to know about our business
  • It would be too expensive
  • It is too complicated
  • We don’t have skilled resources (Data Scientists) available to us
  • Where and how could I apply this technology to my business?

This lab session will be a hands on and practical experience of how you can apply Machine Learning. We will start from a basic data set, enable you to train, build and deploy a functioning machine learning model. We will then use Analytics to work with and leverage the deployed model within a Qlik Sense Analytics application.

In addition to being hands on we will also hear from customers who have deployed this capability. Mentioning some of the user cases, business challenges and outcomes achieved in their everyday business.

Speaker

  • Scott Wilkinson

    Partner Enablement Manager, Qlik

10:15-11:30 Learning Lab 2 – Adobe - Harnessing Online and Offline Data to Power Personalisation at Scale

In your business, when looking at the opportunity and potential of Machine Learning, do you think any of the following?

  • Understand how you can maximise data from any channel to optimise experience
  • See how your data collection and computation can then be activated all in one platform
  • Learn more about Adobe's Customer Journey Analytics (CJA) and Adobe Experience Platform

Speaker

  • Steve Allison

    Senior Manager, Strategic Marketing EMEA, Audience & Data Technologies, Adobe

11:00-11:30 Byte-Sized Learning 3 – Tableau at Salesforce - Building Blocks for a Data-Driven Organisation

How many people across your organisation are data-driven, can question KPIs and metrics, and can collaborate with other departments to combine data assets? In this session, you'll learn how to bring more of your data assets to more business users. You'll discover how companies like Vodafone, Ocado Retail and others have used the Tableau platform to unlock and govern data assets across their organisation, delivering richer data exploration experiences, embedding insights into key applications, democratising AI by delivering predictive insights and augmented data exploration, and collaborating using data-driven methods.

Speaker

  • Francois Zimmerman

    Field CTO, Tableau at Salesforce

11:30-12:30 Knowledge Corner 2 – The Insight Driven Organisation Playbook

Do you think about how the way you will live, and work, will change? What role does data, information, human and artificial intelligence have to play? Huge disruption is taking place, the methods in which people and businesses interact, the types of services being delivered, and the channels through which these services are secured, are fundamentally changing. Our familiarity with technology and information access in our personal lives has caused a seismic shift in our expectations as customers, as employees and as citizens. Every industry and public sector body is facing challenges to the status quo. New business models and services pose significant threats to organisations – but none so risky as ‘do nothing’.

Our IDO playbook offers food for thought and aims to help shape your organisation’s data and AI agenda. It will help you to assess what kind of organisation you want to be, which capabilities and fundamental building blocks are required, and how to structure the way forward.

Speakers

11:30-12:45 Learning Lab 3 – AWS – Sustainability Game Day

GameDay is a collaborative learning exercise that tests skills in implementing AWS solutions to solve real-world problems in a gamified, risk-free environment. This is a completely hands-on opportunity for technical professionals to explore AWS services, architecture patterns, best practices, and group cooperation.

Our approach is unconventional compared to other learning formats. Ambiguity and non-prescriptive guidance allow teams the flexibility to think creatively as they navigate a wide array of technical challenges. There is no one right answer; teams pave their own path based on resources we provide them with in live AWS accounts. If you enjoy open-ended challenges without step-by-step instructions, look no further.

Sustainability GameDay enables AWS users to understand how to be mindful of energy efficiency on our AWS infrastructure, and will take place in a fictitious game environment.

Speakers TBC

11:30-12:45 Learning Lab 4 – Snowflake – Join The Data Economy By Taking Your Data To Market

Data is the building block required for reinvention in a dynamic business environment. Companies reinvent themselves in the new world by using data to look more deeply into their own operations; they take a closer look at their existing customers and scan horizons for new customers. And, they explore ways that partners and customers can do the same. They not only monetise their data by using it internally but they begin to commercialise their data externally.

This workshop will draw from the experiences of companies who have successfully commercialised their data by creating products and services that deliver value to their customers.

Join us to for this interactive session to:

  • Understand the opportunities and challenges of the data economy
  • Discover how innovative business leaders have launched data products and services
  • Learn how to identify use cases, develop offers, determine pricing models and take your data to market

Speakers

  • Jennifer Belissent

    Partner Enablement Manager, Qlik

  • Zachery Anderson

    Chief Data and Analytics Officer, NatWest

12:30 - 13:30 - Lunch

13:30-13:35 Afternoon Host Welcome

Speakers

  • Andy Gauld

    Partner, Deloitte

  • Natalie Williams

    Partner, Deloitte

13:35-13:45 - Afternoon opening moment

13:45-14:15 The Future Of Work Is Data-Driven

Business success in today's dynamic environment requires unprecedented levels of customer service and operational agility. To meet these challenges companies must have a deeper understanding of customers and their business, from both inside and out. And, that means changing the way they work:

  • Discover how organisations modernise and scale their data-driven organisations
  • Explore strategies for building data-driven businesses that invest across people, process and technology
  • Learn how leaders at NatWest advanced business goals through data collaboration

Speakers

  • Jennifer Belissent

    Principal Data Strategist, Snowflake

  • Zachery Anderson

    Chief Data and Analytics Officer, NatWest

14:15-14:45 Responsible Innovation During the Age of AI: Trust, Ethics and Data

  • Exploring how organisations can work toward trustworthy AI to deliver technology that uplifts and empowers
  • Defining and operationalising AI transparently
  • Examining how companies can establish trust in themselves and in new technology
  • Identifying ways to maximize AI’s benefits while minimising its harms
  • Answering the question: How do we use data for good?

Speakers

  • Gavin Day

    Senior Vice President, Corporate Programmes, SAS

  • Paul Lodge

    Chief Data Officer, Department for Work and Pensions

  • Costi Perricos

    Global Analytics & Cognitive Leader, Deloitte

15:00-16:15 Learning Lab 5 - Explainability, Explained: Where Bias and Fairness Intersect in AI

Learn from leading industry and AI ethics experts on the intersection of explainability, bias and fairness, and how organizations can leverage these three critical pieces to innovate responsibly. Ask and answer questions like:

  • What is explainability?
  • What is bias?
  • What is fairness?
  • How do we assess our own programmes?
  • How do we measure and assess bias and fairness?

Speakers

15:00-16:15 Learning Lab 6 – Transforming your Organisation with Cloud

Speakers

  • Thomas Remy

    Director, Google Cloud

  • Alex King

    Data and Analytics Partner Lead, EMEA, Google Cloud

15:00-16:00 Knowledge Corner 3 – Winning with AI: Making Tough Choices

Speaker

  • Varvn Aryacetas

    Consulting Director, Monitor Deloitte

16:00-17:00 Knowledge Corner 4 – AI Institute

Speaker

  • Sulabh Soral

    Chief AI Officer, Deloitte

15:00-15:30 Byte-Sized Learning 7 – Stripe - Enhancing Insights and Outcomes across the Financial Stack

  • Explore how payments data creates value for enterprises and decreases fraud
  • Discover how to monetise payments data through enhanced marketing campaigns
  • Demonstrate how to effortlessly integrate payments data into your data warehouse

Speakers

15:30-16:45 Learning Lab 7 – Databricks - Aggreko’s Lakehouse Platform

This session will be focused on the following capabilities that can be achieved using Aggreko’s lake house services:

  • Building a lake house to enable both real-time and batch data services
  • Platform scalability for large organisations enabling both Analytics & Operational use cases
  • Data Science enablement through the platform
  • Incorporation of a Front-End visualisation and self-service layer

Speakers

  • Elizabeth Hollinger

    Director of Insight, Data and Applications Development, Aggreko

  • Dael Williamson

    Chief Technical Officer, Databricks

  • Ahmed Salem

    Director, Cloud AI & Data Engineering, Deloitte

15:30-16:45 Learning Lab 8 – Informatica – How to become a fully data-driven organisation with Intellectual Property Office (IPO)

IPO is transforming and modernising their business to become a data-driven, high-quality services organisation. In this session we will:

  • Go through the challenges faced by IPO
  • Share IPO’s transformation journey to date
  • Host a working session where the group will identify and solve IPO’s future challenges

Speakers

16:15-16:45 Byte-Sized Learning 9 – Boomi - Digital Transformation

Speakers

  • Mike Kiersey

    Chief Technical Officer, Boomi

  • Akhil Chandak

    Director, Consulting, Deloitte

17:00-17:15 Host Wrap Up and Hackathon Prize Giving

Speakers

  • Andy Gauld

    Partner, Deloitte

  • Natalie Williams

    Partner, Deloitte

18:00-19:00 - Drinks Reception: Champagne Reception hosted by Snowflake