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Evolution Exchange Singapore

Bringing together leaders in the technology space…


Latest episode

  • 11. Let's Talk Evolution #11 - AI in Hedge Funds: Practical Integration for Portfolio Managers

    33:46||Ep. 11
    This episode explores how artificial intelligence is reshaping hedge funds and portfolio management through insights from three industry leaders: Jiri Pik (RocketEdge.com), Ernest Chan (PredictNow.ai), and Jared Broad (QuantConnect.com). They break down how AI, generative models, and large language models are transforming data analysis, risk management, and strategy development in quantitative finance.The discussion highlights how investment teams can integrate AI by dividing complex workflows into smaller tasks that AI can enhance, from risk scenario modeling to strategy optimization. The speakers also address key challenges such as high computational costs, data quality concerns, and the difficulty of explaining model decisions to stakeholders.They share how AI is redefining roles within trading teams by increasing efficiency and allowing professionals to focus on strategic thinking rather than repetitive coding and backtesting. The episode also introduces a practical book that provides ready to use AI trading strategies to help professionals learn and apply modern AI techniques.If you are navigating the rapid rise of AI in finance, this conversation encourages you to build critical judgment, understand AI’s limitations, and experiment actively so you can stay relevant in the evolving landscape of quantitative investing.Our three guest speakers have recently co-authored a book which teaches you how to master the art of AI-driven algorithmic trading strategies through hands-on examples, in-depth insights, and step-by-step guidance. You can check it out here: https://www.amazon.sg/dp/1394268432

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  • 10. Let's Talk Evolution #10 - AI and the Evolution of Finance

    23:27||Ep. 10
    In this episode of Let’s Talk Evolution, Jonathan Chan, Global Co-Head of AI and Data Innovation at Julius Baer, shares deep insights into how financial institutions can move beyond experimental AI projects toward scalable, enterprise-wide adoption. He explains why companies must evolve from an “AI by business case” mindset to an “AI by conviction” approach, treating artificial intelligence as a core enabler of future growth rather than a collection of small projects.Jonathan discusses the essential skill sets that drive successful AI implementation, including AI engineering, data science, product design, and strong governance. He also emphasizes the growing importance of understanding ethics and regulatory compliance in a highly regulated sector like finance. According to Jonathan, organizations that can blend technical expertise with business knowledge will have a clear advantage as AI becomes an everyday utility, similar to Excel, while true competitive power will lie in applied AI systems that generate unique business value.This episode provides a balanced perspective on AI adoption, combining optimism about innovation with a realistic view of the cultural, strategic, and operational challenges financial services must overcome to achieve sustainable transformation.
  • 9. Let's Talk Evolution #9 - Building AI-Ready Organizations

    17:48||Ep. 9
    In this episode of Let's Talk Evolution, Kevin Aubry, CTO of PALO IT Singapore, offers a grounded and insightful take on what it truly means for companies to become AI ready. Drawing from hands-on experience, Kevin explains that AI readiness is not just about technology, but also about data quality, process redesign, and cultural change that influences collaboration and mindsets.He explores the common pitfalls companies face when they try to implement AI without changing how they operate. Real success, Kevin explains, comes from building a culture of experimentation, empowering internal AI champions, and securing leadership support that drives consistent change. He also shares how organizations can achieve remarkable results, including faster project delivery, cost savings, and stronger innovation pipelines that directly benefit both businesses and customers.Kevin also discusses the future of work, where AI acts as a powerful partner that enhances human capability instead of replacing it. To thrive in this new environment, professionals need to develop skills in problem framing, lifelong learning, and guiding AI tools with precision and creativity. He advises teams to cultivate a diverse AI toolkit and learn to select the right tools for the right tasks to maximize impact and agility.This episode is essential for anyone who wants to understand how to build an organization that is truly ready for AI, combining strong technical foundations with adaptable leadership and a culture that looks toward the future.
  • 8. Let's Talk Evolution #8 - Beyond Adoption: The Next Phase of AI Readiness

    30:26||Ep. 8
    In this episode of Let’s Talk Evolution, Damien Kopp, a global AI and innovation leader with over 25 years of experience across Europe, North America, and Asia, shares his insights on the realities of AI adoption beyond early experimentation. He discusses why so many AI initiatives fail to scale, emphasizing the need for clear business objectives, data governance, and trust-building across organizations.Damien explains that the real value of AI lies not in accelerating existing processes but in fundamentally rethinking how businesses operate to unlock exponential growth. He also addresses common misconceptions about AI and jobs, stressing that automation targets tasks, not entire roles, and that human adaptability, ethical reasoning, and continuous learning will remain essential in the AI era.The conversation extends to the risks of over-collecting data, the emerging threat of quantum computing, and the importance of preparing for a fragmented global AI landscape. Damian’s perspective highlights how thoughtful leadership, ethical design, and strategic readiness can help organizations and individuals thrive in a world where technology and society evolve side by side.
  • 7. Let's Talk Evolution #7 - AI in Traditional Industries: From Data to Deployment

    18:18||Ep. 7
    In this episode of Let's Talk Evolution, Jin Lee, Co-Founder of TicTag, shares how traditional industries are embracing AI and what it truly takes to move from raw data to full-scale AI deployment. Starting as a pandemic-era startup focused on crowdsourced data annotation, TicTag has grown into a company delivering complete AI solutions across retail, manufacturing, mining, and logistics. Jin explains how the company integrates social impact by employing diverse groups, including people with disabilities, while maintaining world-class data accuracy through gamification and multi-layer quality checks.Jin also explores the challenges that traditional businesses face when adopting AI, including data readiness, workforce education, and translating insights into real business value. He highlights how TicTag’s end-to-end approach allows companies to integrate AI into existing processes without requiring deep technical expertise. The discussion also touches on the global AI talent landscape in Southeast Asia, emphasizing communication skills, adaptability, and continuous learning as key traits for success in an ever-evolving industry.This episode offers valuable insights into how AI innovation, social impact, and human adaptability can work together to drive transformation in legacy industries. If you're keen to learn more about Jin and his company Tictag check them out here: https://www.tictag.io/ai-solutions
  • 6. Let's Talk Evolution #6 - AI, Apps, and the Future of Vertical Entertainment

    15:34||Ep. 6
    In this episode of Let's Talk Evolution, Timothy Oh, General Manager of COL Group, explores how AI and vertical storytelling formats like micro dramas are reshaping the global entertainment industry. With over 17 years of experience in media, tech, and entertainment, Timothy discusses how short, mobile-first videos have evolved into a multi-billion-dollar market, changing how audiences engage with stories on platforms such as TikTok and Instagram.He also explains how COL Group integrates AI throughout the content creation process, including scriptwriting, data analysis, and quality assurance. This approach enables faster production cycles, smarter creative decisions, and more personalized storytelling experiences. The conversation also examines how creators can maintain authenticity while leveraging AI’s capabilities, innovative ways to monetize micro dramas, and the rise of interactive storytelling where viewers can actively influence story outcomes.This episode provides valuable insights for creators, producers, and media professionals who are navigating the intersection of creativity, data, and technology in an ever-evolving entertainment landscape.
  • 5. Let's Talk Evolution #5 - Inside The World of Digital Twins and Synthetic Data

    20:04||Ep. 5
    In this episode of Let’s Talk Evolution, Daniel Yu, CEO and Co-Founder of MetAI, shares how his Taiwan-based deep tech startup is transforming industrial AI through digital twins and synthetic data. Drawing from his journey from finance to AI entrepreneurship, Daniel explains how MetAI tackles the “AI adoption gap” by building high-fidelity virtual environments that replicate factories and warehouses in detail. These digital twins generate synthetic data used to train robotics and AI systems faster, safer, and more efficiently than real-world testing.Daniel also discusses the misconceptions surrounding digital twins, emphasizing that they are not just 3D models but behaviorally accurate environments with real operational logic. With support from Nvidia, MetAI developed algorithms that can turn CAD blueprints into simulation-ready environments, drastically reducing time and cost. Taiwan’s strong manufacturing ecosystem gives MetAI access to real-world insights, enabling the company to produce highly relevant synthetic data for industrial applications.By treating synthetic data as a core product rather than a byproduct, MetAI is building the foundation for a new era of physical AI infrastructure. This episode dives into how digital twins, simulation, and AI training converge to shape the future of smart factories and robotics innovation.