8th Chief Digital & Data Officer Asia Summit
AI has gone from an experimental wonder to the lifeblood of many Asian enterprises. While it is driving today’s transformation, innovation, and growth, deriving true value from AI remains a major hurdle.
An added challenge is that AI is evolving, fast. As chief digital officers, chief data officers, and AI leaders search for tangible, positive returns from their AI investments, the new developments continue to shape the landscape and its ROI potential. With Agentic AI in sight, strengthening the IT infrastructure, accelerating data accessibility, and refining governance for building trust have become top C-level goals.
The 8th annual Chief Digital & Data Officer Asia Summit brings together digital, data, IT, e-commerce, CX, 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, digital revenue, ROI, speed, and governance.
Why Chief Digital & Data Officer Asia 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 the AI journey progresses, enterprises are expecting concrete ROI from AI initiatives. However, with a conservative mindset and risk averseness, Singaporean companies are not advancing in AI as quickly as many anticipated. Taking into consideration the technical debt, regulatory landscape, and talent shortage surrounding the field, converting AI potential to performance remains a goal to be achieved. A leading consultant will provide his/her perspective on how to accelerate results and how CDOs can get ahead in the AI race.
Speaker:
Most AI deployments in Singapore are internal and efficiency-focused. Aside from chatbots, most external, customer-facing use cases remain a work in progress. It also means AI’s full potential is yet to be realized. This panel will examine:
- What is stopping the external deployments of AI?
- How to unlock the other half of AI value through CX?
- Beyond chatbots: What are the next customer-facing use cases and POCs prime for deployment?
- How to manage potential relationship challenges due to conflicting results/recommendations between human staff and AI staff?
- How do we build consumer trust in AI by minimizing hallucination and improving reliability?
Moderator:
Panelists:
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.
Running next-generation AI demands immense computing power and efficient data exchange. Enhanced security, compliance, and resiliency requirements add to the need to integrate your applications, services, technologies, and partners. It’s time for CDOs to relook at the IT infrastructure behind the data to address them. This session explores how to build the right data infrastructure to unlock the full potential of AI at any scale.
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
Moderator:
In today's rapidly evolving AI-driven landscape, robust infrastructure is the cornerstone of business success. Enterprises across all sectors face the challenge of managing increasingly complex and distributed data environments. A strong data foundation is critical to support current operations and future AI innovations, particularly as data volumes, velocities, and varieties continue to surge unpredictably.
At this exclusive executive roundtable discussion, organized in collaboration with Digital Realty and Orange Business Services, we'll dive into the critical aspects of building and maintaining resilient, high-performance data infrastructure. We'll explore how to navigate the complexities of data management and leverage strategic infrastructure investments to drive business growth. We'll also examine the concept of data gravity, an unintended consequence of the data explosion, that is now threatening to overwhelm data infrastructure.
AI is transforming lives, boosting industries, and helping tackle some of the most pressing global issues. Yet, trust remains a critical challenge - reflecting a tension between the benefits and risks. Dr. Jianshu Weng will share key insights of a global study that surveyed more than 48,000 people across 47 countries, and explore the impact AI is having on organizations.
AI is evolving quickly, and some technologists believe that it heralds new capabilities. Others believe that AI’s fast-paced advancement creates conceptualization and implementation challenges, hampering ROI and its potential. This panel will explore:
- Envisioning and conceptualizing AI use cases amidst quick technological advancements
- Accelerating adoption lifecycles, from ideation to deployment
- Balancing rapid product changes with long-term ROI
- Deriving the capabilities and limitations of AI to manage management expectation
CDOs, CTOs, CIOs, and CISOs strive to remain the drivers and custodians of technology in their organizations. But, with AI fast-evolving, that might be more challenging than expected. This panel will explore:
- Rogue users: Preventing premature AI adoption by untrained functional users to mitigate risks.
- Runaway costs: Controlling IT budgets to cope with exponential data growth and computing needs.
- Bad actors: Defending against adversary AI with AI for security.
- Decision-making robots: Formulating for the reality of cobots and the near future of custobots.
SPEAKERS
