Analyse Podcast

Fresh out of Oracle AI World 2025, Chris Chelliah, Senior Vice President of Technology and Customer Strategy for Japan and Asia Pacific at Oracle, joins us to unpack how Oracle is positioning itself as the definitive enterprise AI platform across the region. He shares his career journey from a computer science geek working on distributed databases to leading technology strategy across a market representing two-thirds of the world's population. Chris explains Oracle's comprehensive four-tier AI stack—infrastructure, data platform, applications, and agentic orchestration—emphasizing how this unique full-stack ownership enables enterprises to consume AI out of the box and extend seamlessly without ripping and replacing existing systems. He highlights compelling use cases from financial fraud detection and healthcare automation to precision agriculture and energy grid optimization. Closing the conversation, Chris shares his vision for what great Oracle will look like in Asia Pacific, continuing its 50-year legacy as the behind-the-scenes platform provider powering everything from OpenAI and TikTok to global banking infrastructure. What's been consistent for Oracle is to be a platform provider that helps organizations unlock full value of their data. Today it is all about AI and unlocking the value of your data in AI, and cloud is a mandatory enabler. With AI and agentic AI, an agent is effectively an employee—it's an automated employee, a process, a workflow. You want your employees to be within your ecosystem, within your firewall. AI thrives at the edge because that's where inference happens. With AI and agentic AI, an agent is effectively an employee—it's an automated employee, a process, a workflow. You want your employees to be within your ecosystem, within your firewall. AI thrives at the edge because that's where inference happens. - Chris ChelliahProfile: Chris Chelliah, Senior Vice President of Technology and Customer Strategy for Japan and Asia Pacific at Oracle https://www.linkedin.com/in/chrischelliah/Episode Highlights: [00:00] Quote of the day by Chris Chelliah[02:10] Chris's journey from computer science to enterprise tech[03:13] Technology tinkering and Oracle's innovation culture explained[04:17] Two-thirds world population drives APJ market potential[05:06] Career advice: Find passion, own your brand[06:54] Oracle's mission: Unlocking data value for enterprises[07:58] 47,000 customers, 44% yearly consumption growth in JPAC[08:51] Oracle AI World 2025: AI changes everything announcement[09:12] Four-tier stack: Infrastructure, data, applications, agents[11:25] AI Data Platform enables production-grade AI systems[14:14] AI Agent Studio and Marketplace solve scaling challenges[15:12] Agents as higher-level abstraction for enterprise automation[16:27] Real-world AI use cases across industries shared[18:49] Multi-cloud strategy accelerates enterprise AI adoption[21:16] Partners enable scale with 100 marketplace solutions[23:01] Convergent AI: Consume applications then extend capabilities[26:51] Multi-cloud and multi-model future requires strong governance[27:31] Four-tier security isolation from infrastructure to applications[29:57] AI agents need enterprise-level data residency controls[31:02] Using AI to accelerate cloud migration skills[[33:08] Design thinking to working prototype in days[36:10] Success metrics: Beat your personal best daily[39:55] Why Oracle differs: Only four-tier stack player[43:01] What great looks like for Oracle in the Asia Pacific[45:51] Closing 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.

Fresh out of the studio, we commemorated the 10th anniversary of the e-Conomy SEA [Southeast Asia] Report with Sapna Chadha from Google, Florian Hoppe from Bain & Company, and Cassie Wu from Temasek, celebrating a decade of tracking Southeast Asia's digital transformation. The panel reflected on the region's remarkable achievement of reaching $300 billion in GMV—exceeding the original $200 billion goal by 1.5x—alongside revenue growth of 11x over the past decade. The panellists examined pivotal themes including Southeast Asia's position as the world's most AI-curious region with three times more interest than elsewhere, the explosive rise of video commerce and the maturation of digital financial services. The conversation explored the expansion from SEA-6 to 10 ASEAN countries, the ecosystem's resilience through multiple crisis cycles, and the shift from growth-at-all-costs to sustainable profitability. The episode concludes with each panellist sharing their vision for 2030, emphasizing building trust in AI adoption, creating an inclusive AI economy that benefits SMEs alongside large platforms, and navigating the AI transition gracefully to unlock innovation while addressing employment challenges—underscoring Southeast Asia's evolution from digital catch-up player to global innovation leader rewriting the playbook for digital adoption."We set this audacious goal of 200 billion by 2025. People told us we were crazy. In 2016 when we put that ambition out there, we've actually reached 1.5x that and we've hit 300 billion. And so it's just reflective of this incredible economy." - Sapna Chadha"Indonesia e-commerce still I think is larger or about the same size as all of India e-commerce. And yet the attention tends to be a little bit veering away from Southeast Asia, but this is actually a real economic powerhouse I think for all of Asia Pacific." - Florian Hoppe"Southeast Asia as a region, as we think about digital economy adoption, we are not playing catch up anymore. In many ways we're leading the digital adoption. We're writing how digital economy, how digital adoption could look like for a population and demographic like us." - Cassie WuProfiles: Sapna Chadha, Vice President Southeast Asia and South Asia Frontier, Google Asia PacificFlorian Hoppe, Partner at Bain & CompanyCassie Wu, Director, Southeast Asia at Temaseke-Conomy SEA 2025: https://economysea.withgoogle.com/Episode Highlights:[00:00] Quote of the Day by Sapna Chadha, Florian Hoppe & Cassie Wu[01:17] 10th anniversary of e-Conomy SEA Report[03:00] Digital economy hits 300 billion, exceeding goals[04:09] Ecosystem resilience through multiple crisis cycles[06:10] Report expands from SEA-6 to ASEAN-10[08:13] Southeast Asia most underappreciated AI opportunity[09:31] Indonesia e-commerce matches all of India[10:04] Region leading digital adoption, not catching up[12:13] Cash no longer king, payments fully inverted[13:00] Revenue growth 11x over past decade[15:00] 300 billion GMV despite headwinds and tariffs[16:00] Video commerce grew 5x in three years[19:03] Digital payments north of 60% of transactions[23:32] Super apps unique to Southeast Asia ecosystem[25:45] Data center capacity growing faster than anywhere[27:01] Lower labor costs delayed AI adoption initially[31:00] Ecosystem healthier than ever before[33:08] Talent is the critical AI bottleneck[35:19] Digital infrastructure must align with green economy[39:00] Southeast Asia remains globally underappreciated[40:39] Can Southeast Asia leapfrog into AI era[43:00] ClosingPodcast 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.

Fresh out of the studio, Arnaud Frade, Managing Partner at Mesh Advisory and author of the upcoming book The Sentient Startup, joins us to explore how AI is fundamentally transforming entrepreneurship through the radical concept of AI as a true co-founder rather than merely a tool. He distinguishes between startups that are merely "AI-onboard" versus true sentient startups where AI operates as part of how the business is run, and introducing the concept of Machine Resources (MR) as a new organizational function alongside Human Resources to manage evolving AI models and maintain knowledge integrity. He emphasizes the co-intelligence model over the sterile human-versus-machine debate, highlighting how the 95% AI project failure rate stems from organizational issues rather than technology problems—a reality perfectly captured by the Banani framework (Brittle, Anxious, Non-linear, Incomprehensible) that explains why companies struggle with AI readiness. Closing the conversation, Arnaud shares what great looks like for The Sentient Startup: being part of the essential conversation about AI governance, accessibility across income levels, child safety, and building better regulations."The entire debate on human versus machine is extremely  in a way sterile because it very quickly veers towards the science fiction, the movies, the images we have, and it forgets the point about what can we gain.  but what can we gain in the context of having accountability and integrity with it? I think this is where the debate becomes more complex. So for me that's the bigger point is this is not about having less people. It's about having people  doing better things and  using their talent to really scale what they can do in that model of co-intelligence. " - Arnaud FradeEpisode Highlights:[00:00] Quote of the Day by Arnaud Frade[01:00] Introduction: Arnaud Frade [02:49] Arnaud's career journey [05:27] Advice: stick to values and volunteer for opportunities [07:21] Arnaud's story on his first book about algorithmic marketing [09::32] Sam Altman's solopreneur unicorn comment was the epiphany [10:04] Sentient startup: AI as co-founder, enhanced by co-intelligence [12:15] AI onboard versus AI as true co-founder distinction[16:45] Barriers to entry reducing with AI and agentic models[23:40] MIT report: 95% of AI pilots fail organizationally[28:15] Need overlay systems for effective agentic AI[30:45] Culture: retain humanity when engaging with AI[36:10] Governance frameworks for AI decision-making transparency [40:10] Banani framework: brittle, anxious, non-linear, incomprehensible[42:16] Co-intelligence model versus human versus machine debate[43:19] Goal: be part of the conversation on AI[44:15] Focus on regulations, access equity, and child safety[45:00] ClosingProfile: Arnaud Frade, author of "The Sentient Startup" which will launch on May 19, 2026 via Penguin Random House. Register at thesentientstartup.com for community updatesLinkedIn Profile: https://www.linkedin.com/in/arnaudfrade

Fresh out of the studio, Ralph Haupter, President & CRO, Small Medium Enterprises and Channels at Microsoft, joins us to explore how Microsoft is empowering 400 million small and medium businesses globally across 56 counties through a partner-first strategy that combines platform standardization with deep specialization. He shares his career journey spanning over 20 years at Microsoft, from running Europe to leading Greater China, building Asia's geographical operations in Singapore, and eventually taking on global SME strategy. Ralph explains that Microsoft's unique advantage lies in being a platform company at its finest, offering a complete technology stack from productivity to infrastructure, security, and applications—all with core AI integration—while relying on a specialized partner ecosystem to deliver local expertise and support. He highlights how partners are creating entirely new business models on agentic AI while emphasizing the four critical partnership moments from transaction to ongoing support that most companies neglect. Closing the conversation, Ralph shares what great looks like for Microsoft. “The partner program for us is a place where we want to have expertise for our customers. The only way to make that happen is to standardize on portfolio and standardize on offering.If you don’t provide standardized offers — if the experience in Word, for example, is different in one country than in another — you can’t build an ecosystem that helps partners scale with expertise. I call that a platform company at its finest.We have the full assortment — from the productivity world to infrastructure, security, and applications. And if you’re a small or medium enterprise, the last thing you want is to have four meetings with four people, serving four different types of coffee to four different vendors, just to get a full-stack solution for your business.” - Ralph HaupterEpisode Highlights: [00:00] Quote of the Day by Ralph Haupter [00:54] Ralph's 20+ year Microsoft career journey from Europe to China to Global [02:19] Ralph's Experience in Microsoft Greater China [04:24] Giving space to local country leaders [06:16] Career advice: Get out of comfort zone [08:02] Microsoft's 400 million SME customer opportunity [11:00] AI accessibility for small business competitiveness [13:09] Satya's vision: Empower every organization globally [15:00] Microsoft as AI platform company strategy [17:24] Standardization enables partner ecosystem at scale [21:22] Security partners drive consultative innovation [25:15] Full stack portfolio simplifies SME technology [28:00] Training investment for partners and customers [32:00] Four critical partnership moments: Sales to support [35:00] Local partner presence matters by geography [40:36] Scale requires clarity, simplicity, and standards [42:36] Global Leadership Lessons: Learning from positive performance signal deviations [45:22] Customers should ask partners for expertise [47:34] What does Great Look Like for Microsoft SME & Channel Globally [48:00] ClosingProfile: Ralph Haupter, President and CRO, Small Medium Enterprises and Channel (SME&C), Microsoft LinkedIn: https://www.linkedin.com/in/ralphhaupter/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.

Fresh out of the studio and we hit our 500th episode milestone, guest host Yana Fry from Yana TV turns the tables on Bernard Leong, CEO of Dorje AI and host of Analyse Asia, in a special ask-me-anything format. We start with Bernard's journey from finding his first guest to navigating 11 years of podcasting, revealing his 12-word life philosophy: "Learn from everyone, follow no one, observe the patterns, work like hell." Following on, Bernard shares how his theoretical physics background provides the tools on everything from digital transformation to building Dorje AI's vision of reimagining ERP systems. The conversation dives deep into Bernard's pragmatic idealist worldview, product management philosophy and focus on the future. Bernard announces a major rebrand: Analyse Asia is dropping "Asia" to become the Analyse Podcast as it expands to a global audience, marking a new chapter in the show's evolution."For Dorje AI, what great looks like is being able to solve the ERP problem for businesses. It could take five years, ten years, or even two decades — because every technology adoption cycle takes time. We’re at the beginning of a massive shift, but many still cling to the old ways of doing things. The one thing I’ve learned about digital transformation is this: everyone loves transformation, but they hate to change. Everything that people say will happen in two years usually takes five.When I think about Analyse Asia, greatness for me is being able to do an interview without looking at a set of questions — to tease out a guest’s story authentically, without prejudice, without being a fanboy. Just getting the story out. If I can do that, that’s great. Of course, hitting a million subscribers would be fantastic — that’s the next milestone I’m chasing. But for me, it’s always: ‘I’ve reached this milestone — what’s next?’When you think about frugality at the highest level, it’s not about resources — it’s about time. The real measure is how much time you can spend doing what truly matters. That’s what great looks like for me: asking, what’s the minimum amount of time I can make the maximum impact? Maybe I’ll never fully get there. But if we can say we lived this life without regret — that’s enough." - Bernard LeongEpisode Highlights:[00:00] Quote of the Day by Bernard Leong[01:00] Introduction: Yana Fry (Guest Host) and Bernard Leong[02:05] Early Days of Analyse Asia Finding first guest was biggest initial challenge[04:30] Looking at Everything from a corporate executive like a theoretical physicist[06:23] Podcast interviews are combinations of science and art[08:19] Pragmatic idealist philosophy shapes Bernard's worldview[10:17] 12 Word Advice: Learn from Everyone, Follow No One, Observe the Patterns & Work like Hell[13:00] Dorje AI solving fundamental ERP ledger problems[16:15] Attacking competitors' strongest strength - Lessons of history from Kublai Khan[21:34] New is Easy and Right is Hard for Product Management[24:00] Audio to video was hardest podcast pivot[29:25] Japanese craftsman approach keeps Bernard going[33:09] Analyse Asia rebranding to Analyse Podcast globally[39:55] Father's 50-year loyalty shaped Bernard's management philosophy[44:00] Asia is diverse cities, not monolithic continent[46:00] Most problems aren't AI problems after questioning[51:00] What does Great Look Like for Dorje AI, Analyse Asia and Bernard Leong?[52:10] ClosingProfile: - Bernard Leong, Host of Analyse Asia Podcast, CEO of Dorje AI https://dorje.ai, Adjunct Associate Professor from NUS Business School & Institute of Systems Science. - Guest Host: Yana Fry from  @yanatvsg  which we highly recommend and subscribe to: https://www.youtube.com/@yanatvsgLinkedIn: https://www.linkedin.com/in/yanafry/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.

Fresh out of the studio, Ling Hai, President of Asia Pacific, Europe, Middle East, and Africa at MasterCard, joins us to explore how payment networks are evolving to embrace stable coins, AI agents, and the future of digital commerce across diverse global markets. He shares his career journey from management consulting to retail banking and eventually to MasterCard. Ling Hai shares that MasterCard is a global technology company that creates interoperability and universal acceptance, with technology services like cybersecurity, data insights, and consulting increasingly contributing to revenue beyond traditional payment processing. He highlights compelling innovations from Asia Pacific leading the way, including Singapore's nationwide open loop transit system and MasterCard's approach to stable coins as settlement vehicles alongside traditional currencies, while emphasizing how the company bridges the DeFi universe with the physical merchant world through on-ramp and off-ramp solutions for crypto adoption in markets like Latin America. Closing the conversation, Ling Hai shares what great looks like for MasterCard to become the operating system of commerce and the digital economy.“MasterCard, in the end, is a global technology company. We run a global network, and we’re very much a data company. So, in all of this, when we handle people’s money and when we handle people’s data, trust is the most important thing. If we lose that, we lose our business. For us, that trust factor is absolutely critical — it’s embedded in everything we do.As the world evolves, we’ve gone from handling payments in the physical world, to e-commerce in the digital world. Tomorrow, with AI, it’s going to be agentic — agents will be doing commerce for us. But the common thread across all of this is still safety, security, trust, and also ease of use.Today’s consumer doesn’t want to trade off between convenience and security — they want both. So when we think about our solutions and services, that’s part of our design thinking. We must ensure they are easy, convenient, safe, secure, and trusted by everyone.” - Ling HaiEpisode Highlights:[00:00] Quote of the Day by Ling Hai[01:00] Introduction: Ling Hai[03:00] Overview of Mastercard and balancing global consistency with localization[06:00] MasterCard's vision: inclusive digital economy for everyone[09:13] Open loop transit leading digital payment adoption[11:14] Asia Pacific: most advanced multi-payment region globally[14:03] MasterCard is a global technology company focused on trust.[16:00] Stable coins create more use cases for MasterCard[20:38] Two universes: DeFi and traditional finance will coexist[21:07] Payment secret sauce: resolving disputes when things fail[24:00] Stable coins stronger for B2B, wholesale settlement use[25:38] Be at the table or you're on table[29:00] AI enables personalization beyond one-size-fits-all marketing[31:24] Agent commerce requires new rules and payment standards[32:23] Tokenization and authentication: no regret moves for future[34:16] MasterCard network supports real-time payments beyond cards[35:00] What does great look like:: Operating system of commerce and digital economy[36:00] ClosingProfile: Ling Hai, President of Asia Pacific, Europe, Middle East, and Africa, MastercardLinkedIn: https://www.linkedin.com/in/ling-hai-a7952ab8/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:Analyse Asia Main Site: https://analyse.asiaAnalyse Asia Spotify: https://open.spotify.com/show/1kkRwzRZa4JCICr2vm0vGl Analyse Asia Apple Podcasts: https://podcasts.apple.com/us/podcast/analyse-asia-with-bernard-leong/id914868245

Fresh out of the studio, Yuying Deng, Co-founder and CEO of Esevel, shares her transformative journey from corporate lawyer to healthcare operator to tech entrepreneur with our guest host Yana Fry from Yana TV. Yuying discusses how the pandemic's sudden shift to remote work in April 2020 revealed critical gaps in IT infrastructure for distributed teams, inspiring her to launch Esevel—a platform now serving companies across 88 countries. Yuying challenges the traditional HQ-centric worldview, advocating that "HQ should be a mindset, not a location," and shares how Esevel deliberately builds leadership opportunities for talented professionals regardless of whether they're based in Manila, Singapore, or São Paulo. Last but not least, Yuying shares what great would look like for Esevel's future: becoming the indispensable tool companies think of first when scaling global teams, while proving that talent and performance matter more than location."Many companies that say they do distributed and remote work actually still have a very HQ-centric worldview. That means leadership is in HQ, strategy is formed in HQ, and high-impact jobs are in the HQ as well. So when they hire remote and distributed teams. For example, in the Philippines, Brazil, and India they use these more as back-office functions. So you have very talented people who join them there, thinking that they could rise in a global company. But very soon they find that they hit a glass ceiling and are no longer able to advance, and so they move on to another firm. I think that’s a massive waste of talent, especially if you’re talking about here in Asia. This is the world’s fastest-growing region. People are ambitious, people are bright, and they are able to take on leadership positions if they’re given the opportunity to. This is one thing that we have really tried to reverse at Esevel. You do not have to be at HQ in order to rise into a leadership position. As long as you perform your job and perform it well, we look at performance more than location. So I think that is one thing that has to shift: HQ shouldn’t be a location. HQ should actually be a mindset. And I think that’s something that a lot of remote companies or distributed work companies have correct when it comes to that." - Deng YuyingEpisode Highlights:[00:00] Quote of the Day by Deng Yuying[02:00] Introducing Yuying Deng, CEO of Esevel[02:25] From lawyer to operator to founder[03:32] MBA at INSEAD shaped entrepreneurial journey[03:53] Built community care division for Orange Valley[04:24] Family business dynamics and PE exit lessons[05:44] Esevel: IT operations platform for distributed teams[07:56] Company DNA shaped by pandemic remote work[08:38] Importance of staying close to customer problems[10:16] Managing operations across 88 countries globally[12:39] Failure is a feature, not a bug[14:33] Operational complexity and doing boring work well[16:35] Future of hybrid and remote work[19:48] HQ should be a mindset not location[21:25] Characteristics needed for remote work success[22:40] Growth opportunities regardless of employee location[24:58] Founding a company is like raising child[26:52] No perfect time for major life decisions[29:31] Ethical principles learned from parents[30:33] Vision for Esevel and family independence[32:28] Partnership requires mutual support for success[35:48] Rising through adversity with determination[36:34] Legacy focused on happy, independent childrenProfile: Yuying Deng, CEO of Esevel: https://esevel.comLinkedIn Profile: https://www.linkedin.com/in/yuyingdeng/Guest Host: Yana Fry from Yana TV:  https://www.youtube.com/@yanatvsgLinkedIn Profile: https://www.linkedin.com/in/yanafry/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.

"In the context of where Confluent can play a critical part, it's also the interoperable integration with all the respective AI ecosystems. If you think about what AI is doing, it's working across microservices, working across data lakehouses, databases - could be a different endpoint service. Bringing all that together in a secure and consistent manner, constantly serving that information, is where I think it plays the most pivotal role." - Kamal Brar Fresh out of the studio, Kamal Brar, Senior Vice President of Worldwide ISV and Asia Pacific/Middle East at Confluent, joins us to explore how data streaming platforms are becoming the critical foundation for enterprise AI across the regions. He shares his career journey from Oracle to Confluent, reflecting on his passion for open source technologies and how the LAMP stack era shaped his understanding of real-time data challenges. Kamal explains Confluent's evolution from the category creator of Kafka to a comprehensive data streaming platform combining Kafka, Flink, and Iceberg, emphasizing how real-time data infrastructure enables businesses to harness both public AI models and proprietary enterprise data while maintaining governance and security. He highlights compelling customer stories from India's National Payments Corporation processing billions of UPI transactions daily to healthcare AI applications serving patient needs, showcasing how data streaming solves fragmentation challenges that plague 89% of enterprises attempting AI adoption. Addressing implementation hurdles, he stresses that data infrastructure is the most critical piece for AI success, advocating for standards-based interoperability through Kafka's protocol and Confluent's extensive connector ecosystem to unlock siloed legacy systems. Closing the conversation, Kamal shares his vision for Asia Pacific becoming Confluent's largest growth region, powered by massive-scale innovations in payments, mobile transformation, and AI on the edge for autonomous vehicles and next-generation interfaces. Episode Highlights: [00:00] Quote of the Day by Kamal Brar [01:00] Kamal's Career journey from computing to open source [04:00] Attraction to data streaming and Kafka ecosystem [07:00] Confluent's mission: data streaming platform leadership [10:00] Why data streaming is critical for AI [13:00] Report findings: 89% eager to adopt DSP [14:00] Data fragmentation remains biggest enterprise challenge [17:00] Real-time visibility becomes competitive differentiator [20:00] AI-enabled applications transforming enterprise stack [24:00] India payments: Kafka powers UPI infrastructure [27:00] Data governance and security in AI [33:00] Data infrastructure: foundation for scalable AI [35:00] Connectors enable seamless system interoperability [38:00] Interoperability unlocks fragmented enterprise data [39:00] Asia Pacific driving aggressive regional growth [42:00] What does great look like for Confluent [44:00] Closing Profile: Kamal Brar, Senior Vice President WW ISV [Independent Software Vendor] & Asia Pacific/Middle East, Confluent https://www.confluent.io https://www.linkedin.com/in/kamalbrar 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: Analyse Asia Main Site: https://analyse.asia Analyse Asia Spotify: https://open.spotify.com/show/1kkRwzRZa4JCICr2vm0vGl Analyse Asia Apple Podcasts: https://podcasts.apple.com/us/podcast/analyse-asia-with-bernard-leong/id914868245 Analyse Asia LinkedIn: https://www.linkedin.com/company/analyse-asia/ Analyse Asia X (formerly known as Twitter): https://twitter.com/analyseasia Sign Up for Our This Week in Asia Newsletter: https://www.analyse.asia/#/portal/signup Subscribe Newsletter on LinkedIn https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7149559878934540288

“I think this is a sort of coming-of-age moment. When I say coming of age, I mean collectively for Chinese entrepreneurs. Many of these founders are my age, or even younger, and I’ve spoken with some of them. I can really relate to why they want to build businesses that target the global market instead of just China. In the past, you could build a company in China first and then think about expanding outward. That’s no longer possible. For any consumer-facing software company today, from day one you must decide: Do I build for China, or do I build for Global minus China? The examples of TikTok, Shein, and many others show that you cannot do both. It’s not possible to serve both markets at once.” - Jing Yang Fresh out of the studio, Jing Yang, the Asia Bureau Chief from The Information, shares her insights on ByteDance's pivotal moment, China's venture capital challenges, and the emerging U.S.-China competition in AI and robotics. Starting with ByteDance's latest financials, she revealed how the company now exceeds Meta in revenue but still lags significantly in profit margins, with its domestic business—Douyin and Toutiao—continuing to drive the lion's share of profits while TikTok remains unprofitable. Jing Yang explains how founder Zhang Yiming has entered "founder mode," dramatically increasing CapEx spending on AI development while ByteDance mysteriously went quiet on the AI leaderboard despite earlier dominance. Moving to venture capital, she unpacks why HongShan Capital has only deployed a quarter of its $9 billion fund raised in 2022, citing the collapse of exit opportunities, new overseas listing regulations from Chinese regulators, and the disappearance of big-ticket growth deals. She then explores the new wave of Chinese AI startups targeting global markets from day one, explaining how censorship and geopolitics force founders to choose between building for China or building for the world—they cannot do both. Finally, Jing Yang breaks down China's non-obvious advantage in humanoid robotics: not manufacturing prowess, but access to advanced manufacturing test beds where robots can be deployed, iterated, and refined at scale—an advantage The U.S. simply cannot match beyond Tesla. Episode Highlights: [00:00] Quote of the Day by Jing Yang from The Information [02:14] ByteDance revenue exceeds Meta, profit lags [05:01] Zhang Yiming goes founder mode with AI [08:24] TikTok's significance to ByteDance's future [10:18] China signals willingness on TikTok deal [13:02] Chinese tech giants pivots to semiconductors, hard tech [14:27] ByteDance's quiet AI strategy and leadership [19:11] Why HongShan, formerly Sequoia China deploys only quarter of $9B fund [21:00] China VC market lacks big growth deals [24:20] New overseas listing regulations hinder exits [26:15] Chinese VCs struggle with US investments [29:53] Chinese founders target global markets from day one [32:20] What forces global versus China product split [38:28] Chinese apps feel holistic but culturally distinct [43:00] ChatGPT arrival sparked physical AI revolution [47:23] Chinese AI companies prioritize commercial use cases over AGI [50:13] China's manufacturing provides crucial test beds advantage [53:42] Redefining what constitutes a Chinese startup [54:55] AI race between Chinese in China vs US [58:00] Closing Profile: Jing Yang, Asia Bureau Chief from The Information LinkedIn: https://www.linkedin.com/in/jing-yang-33548123/ 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: Analyse Asia Main Site: https://analyse.asia Analyse Asia Spotify: https://open.spotify.com/show/1kkRwzRZa4JCICr2vm0vGl Analyse Asia Apple Podcasts: https://podcasts.apple.com/us/podcast/analyse-asia-with-bernard-leong/id914868245 Analyse Asia LinkedIn: https://www.linkedin.com/company/analyse-asia/ Analyse Asia X (formerly known as Twitter): https://twitter.com/analyseasia Sign Up for Our This Week in Asia Newsletter: https://www.analyse.asia/#/portal/signup Subscribe Newsletter on LinkedIn https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7149559878934540288

"85% of AI use cases are being evaluated by the engineer who built it saying, 'yep, seemed to work pretty well.' If you're gonna build a system that's going to be critical to the business, that's going to be important that it gets it right, then you can't do that without evaluations." - Craig Wiley Fresh out of the studio, Craig Wiley, Senior Director of Product Management at Databricks who leads Mosaic AI, joins us to discuss the forefront of enterprise AI from model development to deployment at scale. Beginning with his career journey in ML operations, Craig explained how he recognized the critical connection between data and AI layers that could deliver order-of-magnitude acceleration in development cycles. Emphasizing the transition from classical ML operations to LLM operations, he showcased how Databricks' unified platform eliminates training-serving skew through data lineage capabilities and supports both fine-tuning and RAG approaches depending on industrial use case requirements. Highlighting compelling customer success stories including Suncorp's employee productivity platform and AstraZeneca's transformation of 400,000 clinical trial documents into queryable insights, Craig revealed a striking reality about enterprise AI evaluation - that 85% of AI use cases are being evaluated only by the engineers who built them, reinforcing that proper evaluation frameworks remain foundational for trustworthy AI implementation. He concluded by introducing Agent Bricks as Databricks' evaluation-centric approach to building production agents, emphasizing that model flexibility and rigorous testing are essential for enterprises moving from experimentation to production, while sharing his vision that the industry must evolve from the "year of agents" to the "year of evaluation and quality." Episode Highlights: [00:00] Quote of the Day by Craig Wiley [01:21] How Craig Wiley started his work in ML Ops that led him to Databricks [02:43] Data and AI layer connection creates order-of-magnitude acceleration [03:47] Mosaic AI acquisition expanded Gen AI solution capabilities [04:38] Classical ML statistics versus Gen AI evaluation challenges [05:48] Mosaic AI covers end-to-end from data ingestion [07:12] Training-serving skew eliminated through unified platform lineage [08:51] Fine tuning versus RAG depends on use case [10:49] Industrial agents benefit from fine-tuned smaller models [12:44] Common governance scheme covers tables through model access [13:52] Agent Bricks prioritizes accuracy over simplicity alone [15:44] Model flexibility crucial for speed and accuracy optimization [16:54] AB testing different models shows immediate performance differences [17:59] Suncorp and AstraZeneca demonstrate diverse AI applications [19:37] Asia Pacific shows aggressive AI adoption strategies [20:59] CFO approval requires proven agent effectiveness evaluation [22:00] 85% of AI cases evaluated only by building engineer [23:20] Model agnostic approach beats single-vendor AI strategies [24:12] Industry terminology evolves rapidly from RAG to agents [25:39] Customer creativity with governance capabilities inspires product development Profile: Craig Wiley, Senior Director of Product Management at Databricks and Mosaic AI LinkedIn: https://www.linkedin.com/in/craigwiley/ 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. Analyse Asia Main Site: https://analyse.asia Analyse Asia Spotify: https://open.spotify.com/show/1kkRwzRZa4JCICr2vm0vGl Analyse Asia Apple Podcasts: https://podcasts.apple.com/us/podcast/analyse-asia-with-bernard-leong/id914868245 Analyse Asia LinkedIn: https://www.linkedin.com/company/analyse-asia/ Analyse Asia X (formerly known as Twitter): https://twitter.com/analyseasia Sign Up for Our This Week in Asia Newsletter: https://www.analyse.asia/#/portal/signup Subscribe Newsletter on LinkedIn https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7149559878934540288