How Databricks Revolutionize Intelligent Enterprise AI in ASEAN with Patrick Kelly
Release Date: 04/06/2025
Analyse Asia
"I quote a study that looked at 84 countries in terms of internal migration and India was dead last. That's not a knock against the culture. It's just not part of the culture that young women in particular leave home at 17, go to the other side of the country and work in a factory. You don't have that. So what's the phrase: Culture eats strategy for breakfast. Apple might have a plan, but like good luck upending 5,000 years of Indian culture to make it happen." - Patrick McGee, author of "Apple in China" Fresh out of the studio, Patrick McGee, San Francisco correspondent for the...
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"At IBM, we really work on two emerging technologies: hybrid cloud and AI for enterprise. These two are deeply connected. Hybrid cloud for us means that regardless of where the data sits whether the compute is on-premise, off-premise, or across multiple clouds. We believe the client should have the control and flexibility to choose where to run and place their data. If you look at the facts, a very high percentage of client data is still on-premise. It hasn't moved to the cloud for obvious reasons. So, how can you scale AI if you don’t have proper access to that data? AI is all about the...
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"If you take a step back and ask, how has the last 10-15 years panned out? The truth of the matter is that Southeast Asia has not done as well as it should have based on the reports and projections that existed earlier. There have been fundamental flaws from a culture standpoint with respect to how the ecosystem has been shaped. I think there has been too much of a mirror of what's happening in Silicon Valley and figuring out how to replicate those concepts in Southeast Asia, whereas there should have been a better, more localized, customized, regional model to suit the culture and concepts in...
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"I think the why is so important, but it's always not really being asked. Most people want to know, 'What's your growth look like?' or 'How is this offering different from another offering?' Those are the questions we get most of the time. But going back to the real why we actually do this in the first place is the most critical question if you ask me. For myself personally, it is all about having a positive impact in society. We have chosen to go down the route of wellness, fitness, and longevity to have that positive impact, which we believe is extremely important and a strong one whereby...
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"Now, some people are only ever going to want to use WhatsApp to message the people in their life, and they should be able to carry on doing that and have an incredibly simple experience in doing so. But we're increasingly seeing that users want to use WhatsApp for more than messaging close friends and family. It's why we're doing things like business messaging. It's why we built new features like channels and status and updates tab separate from your personal chats. We think that if we carry on getting the core of private messaging right, it also gives us the opportunity to build more of...
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" We did a survey with The Economist globally which obviously included Europe and APAC as well. And we asked the question, 'Does my organization's current architecture supports the unique demands of AI workloads.' Basically 85% said, 'No. We don't have the architecture to support it.' Some partially does, but it needs lots of modifications. So we can still feel a lot of people are still in the early stages and that data point ties back to: 85% of GenAI [proof of concepts] has not gone into production. I think that another interesting point is, 'Does your architecture connect AI application?...
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"The thing that's most fascinating, we talk a lot about how complex North Korea is here but when you compare it to some of the other illicit groups, particularly those that are sanctioned, say your terrorist organization that's soliciting donations on Telegram or some other social media outlet understanding what that difference in the level of complexity is, I think is really fascinating to actually know about. When we're talking about DPRK, we're talking about laundering of funds through tens of thousands. By the time we're done, it'll be hundreds of thousands of wallets. And then on the...
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"When I discuss with senior leaders, interview them, or assess them for senior roles, they often come to me, and I ask them: 'What makes you unique? How do you see yourself?' Eighty percent of them tell me what they can't do. They talk about their development needs, and I say, 'Is that how you pitch yourself? Is that what you really bring to the table? You sit with a headhunter and tell me what you can’t do—why not tell me what you’re really good at?' Your exceptional value-add, your competitive advantage—that’s what makes an impact, not what you cannot do. Development needs require...
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"They will judge Masa to have been an extraordinarily consequential investor and historic figure in world investing and tech investing because he has made not just spectacular bets—but he's made so many people rich. I mean, with other people's money. All these founders, he's given them money, he's been an enormous disruptor, and he's built global businesses. He's built a huge business in Japan on the mobile operator. So for all these reasons, I know he sometimes feels dissatisfied with his legacy, and he's now trying to build his greatest legacy in the march to artificial general...
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"We're all vulnerable. And I hadn't thought about that previously. I thought, oh, it's only a small group of people who might fall for this. What I've learned is actually [that] these scammers are so sophisticated. They have so much money. Based on my reporting, this industry, you know, is maybe more lucrative than the illicit drug trade, and these criminal syndicates might be making over 500 billion US dollars a year. So that means they have access to the latest technology, whether it's voice cloning or face changing software. They can buy the latest in AI tools. they can stay several...
info_outline" We did a survey with The Economist globally which obviously included Europe and APAC as well. And we asked the question, 'Does my organization's current architecture supports the unique demands of AI workloads.' Basically 85% said, 'No. We don't have the architecture to support it.' Some partially does, but it needs lots of modifications. So we can still feel a lot of people are still in the early stages and that data point ties back to: 85% of GenAI [proof of concepts] has not gone into production. I think that another interesting point is, 'Does your architecture connect AI application? -your relevant business data.' which is probably nearly even more important for me. Again, it was still about 80%- 'We don't have that.' Because that business data is all over the place. Without the clean data, you cannot get good AI." - Patrick Kelly
Fresh out of the studio, Patrick Kelly, Senior Director for Digital Natives, Startups & Enterprise and Commercial Sales in Southeast Asia at Databricks, joins us to discuss how data intelligence is powering enterprise AI applications in ASEAN. Beginning with his career journey from network engineering to tech leadership across Asian markets, Patrick explained how Databricks pioneered the Lakehouse architecture and integrated generative AI into enterprise workloads. Emphasizing the critical role of data quality in AI success, he showcased compelling customer case studies from across ASEAN and revealed striking generative AI trends in Asia - notably that 85% of organizations lack proper architecture to support AI workloads, reinforcing that clean data remains foundational for effective AI implementation. Patrick concluded by sharing his vision of what success looks like for Databricks in Southeast Asia.
Audio Episode Highlights:
[00:46] Quote of the Day #QOTD
[01:49] Introduction: Patrick Kelly from Databricks
[02:28] Career journey from network engineering to technology sales leadership
[06:43] Lessons from Patrick's career journey
[09:10] The Data & AI total market opportunity in Southeast Asia and How Databricks is poised to capture the market.
[10:08] How Databricks pioneered the Lakehouse concept, combining data lake and data warehouse capabilities.
[15:24] The One Thing that Patrick know about Databricks that very few do.
[17:52] Customer success stories from Grab, GetGo, GovTech to Siam Commercial Bank
[22:50] How Mosaic AI positioned Databricks to develop enterprise-quality AI solutions with customers.
[27:29] Key Trends in Asia Pacific on Generative AI.
[32:23] The Importance of Data Architecture for Enterprises adopting AI.
[35:13] Advice for Businesses on Implementation of AI
[37:25] What does great look like for Databricks?
[41:40] Closing remarks and invitation to the Data and AI Summit.
Profile: Patrick Kelly, Senior Director for Digital Natives, Startups & Enterprise and Commercial Sales in Southeast Asia at Databricks.
LinkedIn: https://www.linkedin.com/in/patrick-kelly-aab6168/
Podcast Information: Bernard Leong hosts and produces the show. The proper credits for the intro and end music are "Energetic Sports Drive." G. Thomas Craig mixed and edited the episode in both video and audio format. Here are the links to watch or listen to our podcast.
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