Chief Digital & Data Officer Indonesia Summit
Indonesia is vying for the position of ASEAN regional digital hub. With Government-led digital ambitions, national AI strategies are being crafted, digital workforces are evolving, and infrastructure is modernizing.
Yet, careful strategy is needed for enterprises to harness advanced data science and AI/ML to fuel the next era of digital growth. Chief Digital Officers, Chief Data Officers and AI leaders must strike the right balance between investment and ROI, modern infrastructure and budget constraints, cutting-edge innovation and robust governance, and the right level of automation. It’s a winning formula that can help your company drive optimal business returns.
The inaugural Chief Digital & Data Officer Indonesia Summit will discuss how to create this formula, piecing together real-world experience, critical technological advances and upcoming digital trends that matter. It facilitates peer-to-peer discussions between digital, data, IT, e-commerce, CX, and AI leaders as they share their experiences, triumphs, visions, and insights. The Summit addresses data readiness, digital revenue, core reinvention, ROI, speed, collaboration, and emerging tech as CDOs reconsider how technology is delivered, address skill gaps and reframe what success looks like.
Why Chief Digital & Data Officer Indonesia 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 Meng Liu 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.
Speaker:
AI is evolving quickly, and some technologists believe that it heralds new capabilities, enhancing automation, CX, decision-making, and productivity. Others opt that AI’s fast-paced advancement creates conceptualization, implementation, and governance challenges, hampering its ROI and potential. This panel will explore:
- Envisioning and conceptualising AI use cases amidst quick technological advancements
- Accelerating adoption lifecycles, from ideation to deployment
- Balancing rapid product changes with long-term ROI
- Tightening data and AI governance without impeding the speed of innovation
- Rethinking data architecture and storage considering data sovereignty requirements
- Developing data, technology, and governance talents to propel the adoption of cutting-edge technologies
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.
Facilitating the next generation of AI requires heavy computing power and seamless access to distributed data sources. Stringent requirements on data privacy, security, and sovereignty are another data gravity barrier, as they impose significant constraints on the movement and storage of data across locations and borders. With sustainability now a board-level priority, CDOs must reevaluate and innovate the IT infrastructure that supports emerging infrastructure needs. This session will explore infrastructure strategies to unlock the potential of AI.
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:
SPEAKERS
