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

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

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

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

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

• 

  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

Speakers

• 

  Thomas Remy

  Director, Google Cloud

• 

  Alex King

  Data and Analytics Partner Lead, EMEA, Google Cloud

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

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

• 

  Lien Bailey

  Chief Data Officer, IPO

• 

  Greg Hanson

  CTO, Informatica

• 

  Srikant Kanthadai

  Director, Deloitte