Summit Schedule – Data Leaders Summit

Summit Day 1

09:00-09:10

Opening Remarks – Daragh O Brien, CEO Castlebridge

09:10 -10:35

Data Fundamentals and Data Nous for Value in the era of AI

Keynote	Panel
Data Fundamentals and Data ‘Nous’ for Value in the era of AI – Daragh O Brien, CEO, Castlebridge	Panel Discussion: Dr Markus Helfert, IVI/ Maynooth University Sue Geuens, Elsevier John Ladley, Sonraí Solutions
Delegate Q&A Discussion of key issues raised, moderated by Michael Baylon, Castlebridge

10:35-10:50

Break

Coffee Break & Networking: Partner Display Room

10:50 – 12:15

The Future Data Landscape: AI, Regulation, Quantum, and beyond

Keynote	Panel
The Future Data Landscape: AI, Regulation, Quantum, and beyond – Carey Lening, Senior Consultant, Castlebridge	Panel Discussion: Anthony Mazzarella, Voya Prof.Cathal Gurrin, DCU Jenny Andrew, DAMA UK
Delegate Q&A Discussion of key issues raised, moderated by Daragh O Brien, Castlebridge

12:15 -12:35

Partner Case Study Presentation

Conference partner presentation on a relevant case study

12:35-13:35

Lunch

Served in the Terrace Dining area

13:35-14:55

Delivering Data Value through Data Sharing and Collaboration: The role of Data Fundamentals

Keynote	Panel
Delivering Data Value through Data Sharing & Collaboration – Sue Geuens, Director of Data Governance, Elsevier	Panel Discussion: Blessing Mutiro, Castlebridge Sorcha Heaphy, Uisce Éireann Data Protection Commission Markus Helfert, IVI/ Maynooth University
Delegate Q&A Discussion of key issues raised, moderated by Daragh O Brien, Castlebridge

14:55 -15:15

Partner Case Study Presentation

Conference partner presentation on a relevant case study

15:15-15:25

Break

Coffee Break & Networking: Partner Display Room

15:25-16:50

Data Transformations are doomed to fail – what can we learn from common pitfalls

Keynote	Panel
Data Transformations are Doomed to Fail – John Ladley, CEO, Sonrai Consulting	Panel Discussion: Daragh O Brien, Castlebridge Anthony Mazzarella, Voya Sue Geuens, Elsevier Markus Helfert, IVI
Delegate Q&A Discussion of key issues raised, moderated by Peter Davey, Castlebridge

16:50 -17:00

Summit Closing Remarks

Daragh O Brien, CEO, Castlebridge

17:00

Networking Drinks

Networking drinks reception for delegates

Master Class Day (Day 2)

John Ladley

Principal Consultant, Sonraí Solutions

Half Day Tutorial: 09:30 – 13:00

It is more than literacy – why data acumen is important

Data has always been important. Most organizations’ leadership are supportive of more direct-action concerning data. Many data related efforts work, but the grand vision of “enterprise information management” is elusive. Ask any CDO.

Data literacy is the current response. It is all the rage. But already, this is falling short. The issue is far deeper than reading and communicating, the traditional definition of literacy. Second, whatever it is you want to call it, NO ONE in your organization is at the right level – including you.

The approach to the “literacy “ issue requires fresh thinking, embracing of some new concepts, and appropriate levels of training across all areas in organizations. Please join John as he shares insights and advice that will re-energize the view of data in your organization.

Daragh O Brien

CEO, Castlebridge

Full Day Tutorial: 09:30 – 16:30

Developing a Business Data Strategy for Responsible AI

The rapid pace of development of Artificial Intelligence and related technologies holds potential promise for organisations looking to tap their data assets more effectively and efficiently. However, the adoption of new technologies may in fact herald the calling in of technical and data debt in organisations as the promised potential builds on the foundations of data capabilities already in the organisation.

In this master class, Daragh O Brien, co-author of “Data Ethics” and featured TDAN.com columnist, walks delegates through a structured approach to defining a roadmap for sustainable data improvement to support responsible AI implementation. The session will also look at where AI and machine learning technologies can assist in the ‘heavy lifting’ of data and technical debt management and the critical role of data governance in ensuring appropriate standards are in place, complied with, and understood.