8:30 - 9:30
Arrival, registration & breakfast networking
9:30 - 9:40
Introduction from the Network Group & Chairpeople
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 & enables attendees to arrange one-to-one meetings with each other. This will be followed by a welcome from the Chairpeople.
Sebastian Klapdor, Chief Data Officer, Vistaprint
Thomas Bodé, VP - Head of Data & Analytics, Swarovski
9:40 - 10:15
Data Strategy
- Educating the business to understand & articulate the problems that data science can solve
- Translating business goals into a measurable set of metrics, & a set of hypotheses
- Adding value quickly & building data skills, with the implementation of competency frameworks
10:15 - 10:50
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 & learn how to intelligently match your capabilities with those expectations.
Carl-Johan Nakamura, Chief Data Officer & VP, ZEISS Group
10:50 - 11:00
Coffee break & networking
11.00 - 11:25
Workshop 1
Addressing the talent & skills gap
Holger Kobler, RVP, DACH, Udacity
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
Hosted by Databricks
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 & Regulation
- Data Visualisation
- Data Storage / Infrastructure
- Data Governance
13:05 - 14:00
Networking Lunch
Stream 1—Case Study
14:00 - 14:35
Advanced analytics strategy & implementation
- Overview of challenges experienced & lessons learnt from ABB’s global rollout
- Discussing how to manage stake holder relationship & buy-in to ensure good quality insight
- Presenting advanced analytics use case examples
Mircea Zamfir, Group VP – Analytics, ABB
Stream 2—Strategy
14:00 - 14:35
Information Architecture
- Introducing a framework to ensure consistent data handling
- Discussing how to manage the technology stack & expectations
- Working collaboratively with other departments to create a unified vision
Christian Koblmiller, Chief Data Officer, International Committee of the Red Cross
Stream 1—AI & ML
14:40 - 15:15
How to scale AI & ML
- Discussing the vision, strategy & action plan required to scale with focus
- Addressing the challenges of having disparate data models & fragmented data sets which are difficult to harmonise
- Methodologies to ensure that algorithms & applications work together in an orchestrated way
Stream 2—Data Security
14:40 - 15:15
Accessibility of information
- How to secure strong access to information, reports & dashboards
- What measures are needed to secure that visualisation output is at the right accessibility level
- Discussing what restrictions to put on access & how to create a clear profile of agreed access
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
Master Data Management
16:40 - 17:05
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 & Regulation
- Data Visualisation
- Data Storage / Infrastructure
- Data Governance
17:10 - 17:50
Panel Discussion: Overcoming the cultural challenges to build the optimum data-driven business
Principles to improve culture, literacy & data democratisation
This panel is open to Q&A from the audience throughout
Thomas Bodé, VP - Head of Data & Analytics, Swarovski
Peter Boldt, VP, Enterprise Data Operations, Uniper
Valerie Alleger, Director, Data & Analytics Strategy, EMEA, Janssen Pharmaceutical, Johnson & Johnson
Bianca Scheffler, Director, Co-Head Center of Expertise Data Culture & Innovation, Swiss Re
19:00
NETWORKING DINNER & DRINKS RECEPTION
8:30 - 9:00
Morning registration & breakfast
9:00 - 10:15
Roundtable discussions
Join group discussions with your peers on some of the most challenging & significant data topics - please confirm attendance prior to the session. Each host will facilitate the discussion & give a short presentation of key findings in the wrap up session.
Roundtable 1: Data Governance
Roundtable 2: Data Quality
Svenja Mueller, Data Director Continental Europe, Managed Investment, Morningstar
Roundtable 3: Data Culture
Peter Boldt, VP, Enterprise Data Operations, Uniper
Roundtable 4: Scaling AI & ML
Chris Lobo, Global Head of Data & Analytics, Fresenius Kabi
Roundtable 5: Industry 4.0
Roundtable 6: Talent
10:15 - 10:50
Wrap-up session
Each host gives a short overview of key findings from their discussion & 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
Metadata Management
11:25 - 11:50
Networking
11:50 - 12:15
Workshop 7
Scalable 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 & Regulation
- Data Visualisation
- Data Storage / Infrastructure
- Data Governance
13:05 - 14:00
Networking Lunch
Stream 1—Strategy
14:00 - 14:35
Interdepartmental collaboration
- Addressing the cultural challenges of change management initiatives
- Discussing how to educate the business to understand what AI is & how it can deliver value
- Understanding how to unlock the potential of analytics capabilities across teams
Armin Müller, Director of Analytics, Lidl
Stream 2—Consistency
14:00 - 14:35
Data Quality
- Ensuring that your data is trusted, secure, governed & fit for purpose
- Discussing how to define, measure & monitor data quality
- Data transparency: what, where, when, why & who
Stream 1— Technology
14:40 - 15:15
Investment strategy
- No magic bullet: getting through the hype & creating a clear investment strategy
- Defining the data & processes required before involving outside parties
- When it goes wrong, & lessons learnt
Stream 2— Frameworks
14:40 - 15:15
Data Governance
- Identifying the right framework for your organisation
- Discussing how having the perfect data strategy & governance in place will drive AI & ML
- Understanding how to prove the impact that data governance has on generating value from data
15:20 - 15:55
Panel Discussion: AI & Data Ethics
Just because you can, it doesn’t mean you should!
This panel is open to Q&A from the audience throughout
15.55 - 16:00
Closing remarks from the Chairpeople