Next Event: Singapore

"How to harness the most value
from your data vendor relationships"

and

"Ask me Anything!"

Relationships with vendors can be fraught - whether technology providers like AWS, Databricks and Snowflake; or service providers like the GSIs or boutique consultancies.

Challenges range from misaligned expectations to scope creep, from complex RFPs to moving goalposts. How do we as data professionals navigate this environment to deliver maximum
long-term value while still creating a win-win?

Join a network of your peers and
Oliver van Grembergen
as we unpack together how enterprises think and work, how vendors think and work, and how to approach and manage the relationship for maximum impact, value and success.

AND

"Ask me Anything!"

Let's go completely off-script in a Q&A with Oliver, Mark Burnard, and other thought leaders, on any topic or challenge that you'd like to unpack!

Plus valuable peer networking and conversations over canapes and drinks with other data executives, facing similar challenges to you!

Nov 26 from 6:30pm @ General Assembly

Level 20, 79 Anson Road 079906 (Tanjong Pagar)

Olivier van Grembergen brings decades of experience in Singapore and internationally across both the vendor side and the customer side. Currently with Amdocs, he has previously led ASEAN and APJ teams with AWS, Google, and other leading data organisations. His broad experience gives him a valuable depth of insight into the dormant synergies between customers and vendors, and how to drive value for all stakeholders.

"Your Network is your Net Worth"

- Porter Gale,
VP Marketing
Virgin America

Past Events:

May 2025

"Ethics, Compliance and Data Privacy when using Generative AI: a real-world success story in Education"

The pressure is on to rapidly deploy and maximise the use of Generative AI, and the spotlight is on the CDAIO to get things done. However, there are genuine concerns about data sharing, data privacy, ethics and compliance.

Join us to hear from one thought leader who has wrestled with these challenges and come out the other side with a successful business model that maxmises the value of data and AI while ticking the ethics and compliance boxes in a number of jurisdictions in Europe and Asia.

This is content that I believe you will not find anywhere else.

Join a network of your peers and
Joseph Telfer (CEO, TopSchool.ai)
as he unpacks his story on using Generative AI ethically and successfully with highly sensitive and personal student data.

Plus valuable unscripted peer conversations over canapes and drinks with other data executives, facing similar challenges to yours!

May 22 from 6:30pm @ INSEAD

March 2025

"The evolving role of the CDO
in the age of Generative AI"

Join a network of your peers and
Dr David Hardoon
for a stimulating and informative discussion
over canapes and drinks.

March 27 from 6:30pm @ INSEAD

Amphitheatre 1031 in the LDC building

We are privileged to enjoy the company and thought leadership of Dr David Hardoon at our inaugural Singapore event on March 27.

Dr Hardoon is an executive with over 22 years of Data & AI experience in roles in
senior management, start up, advisory, research, government and academia.

David was Monetary Authority of Singapore (MAS) first appointed Chief Data Officer and Head of Data Analytics Group reporting to the agency Deputy Managing Director for Financial Supervision and subsequently Special Advisor (Artificial Intelligence) reporting to Deputy Managing Director for Markets and Development. In these roles he led the development of the AI strategy both for MAS and Singapore’s financial sector as well as promoting open cross-border data flows.

David pioneered the regulator and central bank adoption of data science as well as establishment of the Fairness, Ethics, Accountability and Transparency (FEAT) principles, first-of-a-kind guidelines issued in 2018 for adopting Artificial Intelligence in the financial industry, as well as establishing the MAS-backed Veritas consortium.


He has extensive experience in both industry and academia and has consistently applied advanced technology with an analytical mindset to shape and deliver new innovation. David holds a PhD in Computer Science in the field of Machine Learning from the University of Southampton and graduated from Royal Holloway, University of London with First Class Honors B.Sc. in Computer Science and Artificial Intelligence. Out in the "field", David is more likely to consider himself a data artist instead of a pure data scientist.