Two weeks ago, a few colleagues and I flew to Manila for the inaugural AI Summit. Organized by our local partner, Aboitiz Data Innovation (ADI), the AI Summit gathered leaders from the region to discuss the topic on everyone’s mind right now.
Now that I’m back in London —and recovered from the jetlag — I’d like to share a few observations from this amazing event.
Appetite for data access
Dr. David Hardoon, ADI’s CEO, is an avid proponent of improving data access within organizations. Indeed, that’s a major driver of the development of ADI’s Parlay platform, built on Harbr.
At the conference, what really struck us is that this concept is really taking hold across a number of the major companies we spoke to. Particularly in a country and region where conglomerates pervade, the importance of sharing data and insights across business units, teams, and jurisdictions cannot be overstated.
Talk of the town
On the second day, I had the pleasure of sitting on a panel with David, Ozzeir Khan (Director of Innovation at Asian Development Bank), and Cindy Deng (Chief Data Officer at DAVI). The topic at hand was “Data Management & Monetization: How to Enable Enterprise-Wide Data Accessibility.”
While I must admit being daunted at the prospect of speaking in front of 800 people, the nature of the conversation and company I was in meant that I quickly forgot this. We discussed the challenges of data productization, particularly in large organizations. To realize the opportunities presented by treating data as a product, we spoke about the need for rapid development and iteration and the importance of enabling customization of these data products. Optimizing data distribution across organizational boundaries was also a major talking point.
On the data consumer side, we got into the importance of providing an optimized self-service user experience. A major aspect of a self-service data experience is allowing for data product discoverability. Naturally, the next step is to allow data consumers to evaluate these products against their priority use cases — in other words, making sure that the data will help solve the problem at hand. Finally, providing appropriate, convenient, and scalable delivery mechanisms for these data products is the final piece of the puzzle.
All in all, it was a great experience to get to better know our partners and fellow data leaders in the region. We can’t wait for our next visit.
If you’re based in Southeast Asia and would like to speak to ADI about building out your data sharing capabilities, get in touch today.