Digital Transformation

The Data Enabled Organisation

QA Re-future Customer Conference: Horizon Scan #3

About this Course

Tech Type Essentials
Duration 1 Day
Special Notices

Please note: there is a maximum of two attendees from any one company.

QA's quarterly Digital Transformation Conference returns and this time it is all about the Data! We believe Data is the next step in the ongoing organisational digital transformation – and one of the most critical to get right.

Date: Monday 4th February 2019

Time: 09:30 – 16:15

Location: London International House

Cost: FREE

Target Audience

QA's Customers. Senior leaders and business decision makers looking for organisational level insight and inspiration in new and expected data capabilities. Senior L&D and HR staff with planning responsibility for developing the data workforce of the future.


Session 1: The Data Enabled Organisation

Why Data – why now

Data Enabled Leadership – Every organisation wants to leverage it, every leader needs to take responsibility for ensuring they and their organisation can compete with data at the core of their Business Strategy

How Secure is your Data? – Where is your data and is it secure? The first step to technical enablement of Data Driven data is to free your data, organise it and make it accessible. How do you do this, at scale – this is where the Cloud comes in. Mark Crump will discuss how you can manage data in the cloud and make it more secure and accessible.

The Data Literacy Challenge – What does data literacy mean and why will it become one of the core competencies in boarding new teams? Join us to understand the question and help us to launch the data literacy challenge where we will ask everyone to put their data knowledge to the test.

Session 2: Delivering Business Value through data

The Data Value Stream – Every touchpoint with a customer and service creates data. Data literate organisations will need to map and understand their value streams then rapidly begin to accrue data on what they do not know. In this talk we’ll discuss practical steps and common blockers in value stream creation.

How can your business benefit from Managed Big Data Services? – Managed Data Services are a game changer in the practical business world. They are changing the way organisations of all sizes can effectively implement advanced data and automation solutions. We will show how companies have reduced processing time from days/hours to minutes/seconds then used that extra power to ask better questions of more data.

Q&A with QA – ask questions of our speakers in a Q&A session.

Session 3: The art of the Possible

Science in Business: Machine Learning – This short talk will seek to answer three questions: What role can science play in business organisations? What are the skills of Data Scientists? What problems can machine learning solve?

What does a Data Engineer do? – A Data Scientist is only as good as the data given to them, and it is the Data Engineer's job to bring the data which is stored in variety of formats and spread in different sources together to the Data Scientists in a format they can use.

The Road to Data Enablement – Now you know the what, let us talk about the how. Across the organisation every layer of the business will need to change and adapt – we will explore our recommendations for enabling your workforce and adapting your organisation followed by closing remarks and questions.

About the Presenters



David Walker

Portfolio Director - Digital Transformation and Emerging Technology

David is a change-driven technologist who works closely with organisations and industry experts to understand the opportunities and threats posed by new technology. David has designed multiple learning solutions that have helped organisations redefine their business strategy and culture – creating new business models that view IT as a strategic competency rather than a support function.
Mark Crump

Mark Crump

Head of Cloud Solutions

As the Head of Cloud Solutions, Mark architects the adoption, creation and delivery of our public cloud courses. As well as heading up this sector Mark also delivers training on Microsoft and Google public clouds as well as System Center Virtual Machine Manager/Hyper-V Private Cloud and Server 2012R2 on-premise infrastructure.
Michael Burgess

Michael Burgess

Principal Technologist for Machine Learning

Michael began programming as a young child, and after freelancing as a teenager, he joined and ran a web start-up during university. Around studying physics and after graduating, he worked as an IT contractor: first in telecoms in 2011 on a cloud digital transformation project; then variously as an interim CTO, Technical Project Manager, Technical Architect and Developer for agile start-ups and multinationals. His academic work on Machine Learning and Quantum Computation furthered an interest he now pursues as QA's Principal Technologist for Machine Learning. Joining QA in 2015, he authors and teaches programmes on computer science, mathematics and artificial intelligence. He co-owns QA's Data Science and Machine Learning curriculum with his colleague Lianheng Tong. His areas of expertise include: Data Science and Machine Learning; Programming; Data and Big Data Tools; Agile; Project Lifecycles.
Dr. Lianheng Tong

Dr. Lianheng Tong

Principal Technologist for Data Science

Lianheng joined QA in September 2016 as a Senior Learning Consultant for Python and C programming and presently is partnering with Michael Burgess, the Principal Technologist for Machine Learning as the joint owner of QA’s Data Science programme. As well as developing the Data Science curriculum, Lianheng teaches both the basic and advanced courses in Python, C, C++, C#, DevOps and Data Science and receives 8 week rolling average delegate rating of 9.6/10. For six years prior he worked as one of the main developers for the quantum molecular dynamics simulation packages CP2K and CONQUEST designed for massively parallel high-performance computers (HPC). CP2K is currently ranked as the second most used Quantum Chemistry package on the UK’s national HPC service ARCHER. Lianheng has over 10 years of scientific research experience, and a large proportion of it involves programming and data analytics. He worked closely with leading international research groups in the field of material science, bio-chemistry and nano-electronics tailoring the simulation packages to their need, as well as providing training and support on scientific computation skill sets and how to correctly interpret simulation data. Lianheng’s PhD research topic was on the study of conduction properties in organic polymers through computer simulation.
Caroline Carruthers

Caroline Carruthers

Data Expert | Carruthers and Jackson

Caroline Carruthers was the first Group Director for Data Management for the Lowell Group and was the first Chief Data Officer for Network Rail. She has been a data cheerleader for more years than she can remember, and is a strong advocate of getting the basics right, and as such she adheres to the KISS principle (Keep it Simple, Stupid) in her approach to even the most complex issues. She is passionate about technology, and as a trustee for CILIP (Chartered Institute of Library and Information Professionals), she champions a growing professionalism of data and information-related disciplines so we can achieve 'data nirvana' a bit quicker.


View the videos from our previous Digital Transformation conference.

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