Chief Digital & Data Officer Thailand Summit
Companies in Thailand realise that AI presents vast potential. With its fast evolution through various iterations, huge changes to business models and processes are expected, making it the priority for most in the next 18 months.
Yet, use case identification, enterprise-level implementation, and efficient scaling remain elusive. Further limited by ROI expectation, limited resources, and legacy systems, Chief Digital Officers, Chief Data Officers, Chief Information Officers and AI leaders are finding it challenging to move beyond simple productivity-enhancing initiatives.
The 2nd annual Chief Digital & Data Officer Thailand Summit brings together digital, data, IT, and AI leaders to explore technology value creation, critical technological advancements, and upcoming digital trends. Through peer-to-peer discussions, thought leadership discussions, and real-world experience sharing, the Summit looks to unearth the latest best practices in driving data accessibility, infrastructure readiness, ROI, speed, scale, and governance.
Why Chief Digital & Data Officer Thailand Summit is Different
- Create business impacts and outcomes through digital and data initiatives
- Achieve agility and digital capability through architecture, application, and process modernization
- Craft seamless experiences for customers and employees in a phygital world
- Enhance data and AI capabilities through structure, talent and tech
- Refine talent and organizational strategies for digital and data resources
- Explore exponential technologies for monetization opportunities
AGENDA
As AI reshapes everything from operating models to automation platforms, digital leaders face conflicting pressures: scale versus control, speed versus stability, innovation versus integration. The challenge is no longer just adoption; it’s governance across a rapidly diversifying stack of models, tools, and agentic systems. In this keynote, Forrester analyst Frederic Giron will unpack the real trade-offs CDOs and CTOs must navigate to move beyond pilot-stage AI and embed intelligence into the core architecture of the enterprise. You will learn how to build toward autonomous operations without sacrificing oversight, trust, or strategic flexibility.
Data is the heart of every AI strategy, and GenAI demands a reimagined approach to maximize ROI. This keynote explores why an open data lakehouse architecture is the key for GenAI, and why a solid data foundation is essential to unlock the full potential of your business' data. Learn how IBM’s watsonx.data delivers hybrid, open, and secure architectures to unlock data’s full potential and accelerate AI adoption, turning information into competitive advantage.
AI is set to transform businesses in Thailand. Enterprises are embarking on AI journeys, which are stalling due to a range of factors. This panel will examine the ways to overcome various hurdles in realising the AI potential, including:
- Anticipating how the business landscape will be impacted by AI
- Exploring AI use cases that are financially impactful and viable
- Modernising legacy systems, architecture, and infrastructure
- Solving persistent data accessibility, ownership, quality, and governance issues
- Building and accumulating talents and skills in both technical and general employees
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Enterprises are under pressure to develop AI at speed and scale. Whether it is traditional ML, agentic AI, or GenAI, the need to amplify the impact and productivity of the data science team persists. Find out how an end-to-end AI/ML platform can bring the robust tooling required for efficient model design, development, and delivery.
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Agentic AI promises to revolutionize productivity and efficiency. It is also a step towards the eventual goal of AGI. Yet, with the existing data and infrastructure as foundations, are enterprises ready for this next iteration of AI? This panel will discuss:
- Potential real-world applications of agentic AI in enterprises
- Overcoming tech debts for Agentic AI: Data, IT, and readiness
- Autonomous vs human intervention: The pros, cons, and feasibility of removing humans from the loop
- Creating relevant oversight mechanisms to responsibly mitigate risks in Agentic AI
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For Thailand's data and AI leaders, it’s time to move beyond the AI stall. While the country’s Generative AI ambition remains high, with 73% considering it, data quality chaos, fractured lineage, and the immediate urgency of PDPA compliance get in the way. It can also leave them with a potentially costly, non-scalable data architecture that'll drain budgets instead of driving innovation.
This exclusive executive roundtable hosted by IBM will explore how to turn AI stalls into data dividends. Featuring fellow data leaders from IBM and DataStax, an in-depth introduction to IBM watsonx.data premium and regional case studies, the highly-focused 90-minute session will provide actionable solutions for scaling AI and setting the data agenda.
Thailand is emerging as a regional AI hub. The country's ambitious digital goals under the Thailand 4.0 strategy are motivating businesses to speed up their GenAI efforts. But scaling these initiatives into production requires more than government encouragement.
While pilot projects show potential, successful GenAI and Agentic AI initiatives require a strategic approach that balances innovation with trust. Thai business leaders are bridging this gap by reducing data complexity, adding safety guardrails, and transforming mindsets.
This roundtable, hosted in partnership with Dataiku, will discuss scaling GenAI and Agentic AI with a reliable governance strategy. We will hear from your peers and technology expert Andy Tan, Dataiku’s Senior Solution Engineer ASEAN, to explore successful cases of building trusted and scalable GenAI.
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