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Andy Gauld
Partner, Deloitte
Natalie Williams
Partner, Deloitte
Justin Keeble
Managing Director of Global Sustainability, Google Cloud
Hannah Routh
Partner, Sustainability and Climate Change Advisory, Deloitte
Andy Gauld
Partner, Deloitte
Natalie Williams
Partner, Deloitte
Tom Spencer
Head of Customer Science, Aviva Quantum
Simone Larsson
AI Strategy and Evangelism, Dataiku
Subhadip Roy
Senior Manager, Deloitte
Laila Takeh
Director, Consulting, Deloitte
In your business, when looking at the opportunity and potential of Machine Learning, do you think any of the following?
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.
Scott Wilkinson
Partner Enablement Manager, Qlik
In your business, when looking at the opportunity and potential of Machine Learning, do you think any of the following?
Steve Allison
Senior Manager, Strategic Marketing EMEA, Audience & Data Technologies, Adobe
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.
Francois Zimmerman
Field CTO, Tableau at Salesforce
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.
Bolly Williams
Transport Strategy & Analytics Lead, Deloitte
Tom Bevan
Director, Consulting, Deloitte
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.
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:
Jennifer Belissent
Partner Enablement Manager, Qlik
Zachery Anderson
Chief Data and Analytics Officer, NatWest
Andy Gauld
Partner, Deloitte
Natalie Williams
Partner, Deloitte
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:
Jennifer Belissent
Principal Data Strategist, Snowflake
Zachery Anderson
Chief Data and Analytics Officer, NatWest
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
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:
Prathiba Krishna
Data Scientist, SAS Institute
Véronique Van Vlasselaer
Analytics and AI lead for South, West and East Europe, SAS
Olivier Penel
Head of Global Advisory, SAS
Steve Ellerd-Elliott
Chief Statistician, Deputy Director, Head of Data as Statistics and Head of Profession for Statistics at Department for Work and Pensions
Thomas Remy
Director, Google Cloud
Alex King
Data and Analytics Partner Lead, EMEA, Google Cloud
Varvn Aryacetas
Consulting Director, Monitor Deloitte
Sulabh Soral
Chief AI Officer, Deloitte
This session will be focused on the following capabilities that can be achieved using Aggreko’s lake house services:
Elizabeth Hollinger
Director of Insight, Data and Applications Development, Aggreko
Dael Williamson
Chief Technical Officer, Databricks
Ahmed Salem
Director, Cloud AI & Data Engineering, Deloitte
IPO is transforming and modernising their business to become a data-driven, high-quality services organisation. In this session we will:
Lien Bailey
Chief Data Officer, IPO
Greg Hanson
CTO, Informatica
Srikant Kanthadai
Director, Deloitte
Mike Kiersey
Chief Technical Officer, Boomi
Akhil Chandak
Director, Consulting, Deloitte
Andy Gauld
Partner, Deloitte
Natalie Williams
Partner, Deloitte