8:30 - 9:30
Arrival, registration & breakfast networking
The event will begin with an informal networking session over a continental breakfast. This gives the attendees the opportunity to begin expanding their networks, break into small groups and begin to discuss their biggest challenges as well as to exchange ideas.
9:30 - 9:40
Introduction from the Network Group & Chairperson
A brief introduction to the event software, SNS — this software, unique to the industry, empowers our attendees to make the most effective use of their time at the event by maximising networking opportunities. The software designs a personalised agenda and enables attendees to arrange one-to-one meetings with each other. This will be followed by a welcome from the Chairperson.
9:40 - 10:15
Creating a Successful Data Strategy
- Educating the business to understand and articulate the problems that data science can solve
- Translating business goals into a measurable set of metrics, and a set of hypothesis
- Adding value quickly and building data skills, with the implementation of competency frameworks
10:15 - 10:50
Digital & Data Transformation
- Discovering how to uncover and manage confirmation bias
- Developing a data offence strategy to drive new revenue growth, through the use of AI, ML and big data
- Discussing the 3 components required to create a 'best in class’ team
Lauren Walker, Chief Operating & Data Officer, Dentsu Aegis Network
10:50 - 11:00
Coffee break & networking
11:00 - 11:25
Workshop 1
Hosted by Collibra
11:25 - 11:50
Networking
11:50 - 12:15
Workshop 2
Adopting AI & Machine Learning
12:15 - 12:40
Networking
12:40 - 13:05
Workshop 3
Augmented Analytics & Data Management
11:00 - 13:05
One-to-One meetings
Intelligently matched one-to-one meetings:
- Advanced Analytics
- IOT
- Digital Transformation
- Enterprise Information Management
- AI / Machine Learning
- Big Data
- Business Intelligence
- Data Privacy / Security
- Cloud
- Data Management
- Data Integration
- Risk, Compliance and Regulation
- Data Visualisation
- Data Storage / Infrastructure
- Data Governance
13:05 - 14:00
Networking Lunch
Stream 1 - Expectation vs Reality
14:00 - 14:35
The Overstretched CDO
CDOs have multiplying responsibilities with little consensus from the board about which to prioritise. In this session we will build an understanding of the organisation’s true expectations of the CDO and learn how to intelligently match your capabilities with those expectations.
Stream 2 - Neuromorphic
14:00 - 14:35
Continuous Intelligence
This session will discuss the application of big data; machine learning; and deep learning – touching on how to build a new all encompassing IoT self learning business model. Finally, this session will examine the direct link between data and your companies business strategies.
Allan Benassi, Global Lead & Data Engineering Architect, Aegon
Stream 1 - Innovation Case Study
14:40 - 15:15
Growth & Innovation
A interesting insight into the joint venture of GSK and Pfizer to create the biggest consumer healthcare business in the world. Discussing their digital and data transformation programme, and how they are using data to build growth strategies and drive innovation.
Wade Munsie, Global Chief Data Officer, GSK
Stream 2 - Talent
14:40 - 15:15
Culture & Diversity
Researchers argue that gender diversity leads to more innovative thinking, and yet only 3% of women hold a board level CDO position.
In this working group we will discuss and create a plan of action on how we can mobilise talent. Equipping women for tomorrows world, and evolve professional culture to better retain and advance women in data science.
Elaine Priest, Chief Data Officer, RBS
15:15 - 15:25
Coffee break & networking
15:25 - 15:50
Workshop 4
Revenue Generation
15:50 - 16:15
Networking
16:15 - 16:40
Workshop 5
Cloud Data Management
16:40 - 17:10
Networking
15:25 - 17:10
One-to-One meetings
Intelligently matched one-to-one meetings:
- Advanced Analytics
- IOT
- Digital Transformation
- Enterprise Information Management
- AI / Machine Learning
- Big Data
- Business Intelligence
- Data Privacy / Security
- Cloud
- Data Management
- Data Integration
- Risk, Compliance and Regulation
- Data Visualisation
- Data Storage / Infrastructure
- Data Governance
17:10 - 17:50
Question Time Panel: Data Ethics, Privacy & Security
Topical discussion in which guests from the world of government, not for profit and business answer questions posed by members of the audience.
Hosted by: Rachel Aldighieri, Managing Director, Data & Marketing Association
Kevin Fletcher, Chief Data Officer & Chief Economist, HM Revenue & Customs
John Power, Chief Data & Analytics Officer, Equifax
Jeni Tennison, CEO, Open Data Institute
19:00
NETWORKING DINNER & DRINKS RECEPTION FEATURING AFTER-DINNER SPEAKER HOSTED BY COLLIBRA
8:30 - 9:00
Morning registration & breakfast
Informal Networking over breakfast before the sessions begin.
9:00 - 10:15
Roundtable discussions
Join group discussions with your peers on some of the most challenging and significant data topics—please confirm attendance prior to the session. Each host will facilitate the discussion and give a short presentation of key findings in the wrap up session.
Roundtable 1: Data Transformation
Hosted by: Santiago Castro, Chief Data Officer, FBN Bank
Roundtable 4: Data Visualisation & Storytelling
Hosted by: Rachael Lear, Global Supply Chain Director, Data & Analytics, Smith & Nephew
Roundtable 2: Data Governance
Hosted by: Mridul Mathur, Chief Data Officer, Dyson
Roundtable 5: Data Culture & Literacy
Hosted by: Nirali Petal, Chief Data Officer, AXA PPP Healthcare
Roundtable 3: Talent vs Capability & Capacity
Hosted by: Somita Yogi, Director of MI, Data Strategy & Data Science/Analytics, Post Office
Roundtable 6: Data Ethics
10:15 - 10:50
Wrap-up session
Each host gives a short overview of key findings from their discussion and creates an ideas board to be distributed post event with the presentations.
10:50 - 11:00
Coffee break & networking
11:00 - 11:25
Workshop 6
Master Data Management
11:25 - 11:50
Networking
11:50 - 12:15
Workshop 7
Enterprise Data Transformation
12:15 - 12:40
Networking
12:40 - 13:05
Workshop 8
Data Storage & Protection
11:00 - 13:05
One-to-One meetings
Intelligently matched one-to-one meetings:
- Advanced Analytics
- IOT
- Digital Transformation
- Enterprise Information Management
- AI / Machine Learning
- Big Data
- Business Intelligence
- Data Privacy / Security
- Cloud
- Data Management
- Data Integration
- Risk, Compliance and Regulation
- Data Visualisation
- Data Storage / Infrastructure
- Data Governance
13:05 - 14:00
Networking Lunch
Stream 1 - Data Monetisation
14:00 - 14:35
Transitioning CDOs into a profit centre
- Effectively facilitating data acquisition for data science models
- Discussing how to leverage data foundations to monetise data as an asset
- Deliberating the changes required for CDO organisations to become revenue generators with the ability to self-fund
Gary Goldberg, Chief Data Officer, BP
Stream 2 - Becoming Agile With Data
14:00 - 14:35
Using Cloud to push towards a data driven business
- Making the business case to establish data science as a fixed discipline
- Bringing value to the business with an efficient data lake
- Predicting actionable insights to use across the organisation
Nuala Kennedy-Preston, Chief Data Officer, People’s Postcode Lottery
Stream 1 - Automation Case Study
14:40 - 15:15
Utilising AI & ML to maximise the value of data
- Using automated data science, AI and ML to drive cost efficiency
- Explaining AI through demonstration rather than translation
- Discussing the future of AI and ML
Nick Kotsis, Chief Data Scientist, Network Rail
Stream 2 - Data for good
14:40 - 15:15
Real world data
- Data supernova – Discussing the explosion of data, new technologies and ways of working in the build environment
- Data for good – Considering the data supernovas impact on climate change and social usefulness
- Developing strategies that combine commercial competitive and social usefulness
Volker Buscher, Chief Data Officer, Arup
Stream 1 - Data Management
15:20 - 15:55
DataOps
- Understanding the customers evolving needs, through the continuous delivery of trusted insights and analytics
- Optimising data management and quality, through automated advanced data governance and analytics delivery practices
- Improving collaboration, communication, and innovation by streamlining efficiencies with DataOps methodologies
Alberto Rey Villaverde, Chief Data Officer, Just Eat
Stream 2 - Tackling Talent
15:20 - 15:55
Attracting & retaining the in-demand talent
- Addressing what the business can offer to entice new talent
- Questioning what you can do to incentivise your current team
- Discussing how to develop, train and grow your ‘A+’ players
15:55 - 16:00
Chairpersons closing remarks