7th Chief Digital & Data Officer Asia Summit
The AI revolution is fueling the next era of digital growth. To stay ahead of the curve, companies must harness AI for competitive advantage, rapid adaptability, and data-driven decision-making—especially in today’s unpredictable market.
However, realizing your AI/ML potential demands careful strategy. 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 7th annual Chief Digital & Data Officer Asia Summit aims to discuss how to craft 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 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
Between pace, costs, skillsets, partnerships, compliance, and outcomes, digital teeters on the balance. To successfully outperform their competitors, CDOs must strike the delicate balance that maximizes the benefits best suited for their enterprise needs. A leading consultant will provide his/her perspective on the contrasting goals, restrictions, and considerations CDOs face and how they can prevail in their digital journeys in an AI World.
AI is revolutionizing experiences changing how customers and employees engage with enterprises. With renewed expectations and behaviors come new opportunities to create value. This panel will examine:
- Enhancing personalized customer journeys, from engagement to conversion
- Creating immersive and memorable customer interactions, from online to offline
- Preparing for autonomous custobots, or machine customers, that will disrupt routes to market
- Reshaping work and employee experiences, from automation to augmentation
- Improving developer experiences to overcome skill gaps
Enterprises use data as strategic assets to predict demand, build product strategies, and manage supply chains. But you need the right solutions to close the gap between data and actionable insights. Find out how to manage, own, and derive such insights faster, increase profitability and streamline operations.
Facilitating the next generation of AI requires massive computing power and cost-effective data storage. Stringent data privacy requirements also increase the need for Edge AI. This session will explore the need to rethink the IT infrastructure behind the data to help CDOs unlock the potential of AI.
CDOs are committing to fast-paced technological advancements to pursue the next wave of digital transformation in the interconnected world. But can the existing IT infrastructure cope with the significant change in computing needs and the shift in business requirements? This panel will discuss:
- Modernizing core IT to place workloads strategically through connectivity
- Orchestrating IT infrastructure with consideration of outcomes, simplicity, sovereignty, security, sustainability, and regulatory requirements
- Rethinking data gathering, broader architectures, and tech tool deployments
- Balancing the dual priorities of core modernization and cost rationalization
Enterprises are under pressure to develop AI for efficiency, cost optimization, outcome acceleration, and better decision-making. But they also face a critical talent shortage. The answer may lie with low-code/no-code. Find out how no-code AI tools can speed up AI developments and drive higher-value outcomes.
Generative AI is the latest hype in a series of transformative technologies. Businesses and lay users are excited, and digital leaders must get ready to leverage their potential. Yet, prompt writing in layperson terms, interoperability with existing systems, and data protection remain hurdles that we must overcome. This session illustrates the optimal ways to adopt and integrate GenAI with the right IT architecture, skillsets, and tech tools.
Data is the foundation for driving business impact through AI and prescriptive analytics that separate organizations from competitors. But is producing and hoarding more and more data necessarily the right approach? This panel will explore how CDOs can:
- Unlock business value from trusted, timely, complete, and secure data
- Harmonize data across locations, jurisdictions, and systems
- Establish proper structure, governance, and integration to accelerate data insights
- Analyze unstructured data through large language models and AI
AI training requires massive data sets, but AI teams must also tread carefully on data availability, readiness, and an ever-shifting regulatory environment. Synthetic data can be an answer. Find out how synthetic data can be more accessible and flexible while providing better privacy and higher utility than real data.
In the past year, enterprises have been fascinated by large language models and generative AI. With computation, energy consumption, and cost factors as significant considerations, opportunities exist to go smaller or bigger. This panel will explore:
- Producing AI solutions at lower price points
- Building smaller, specialized LLMs for cost and energy efficiency
- Orchestrating multi-modal GenAI for cross-domain applications
- The pros and cons of proprietary AI and open-source models
Policymakers across the globe are focusing on AI’s unprecedented growth to safeguard their citizens. While responsibility and ethics have long been on the minds of CDOs, CDAOs and CAIOs, how will establishing AI regulations impact research, development and production? This panel will discuss:
- AI legislations around the world: Notable policies and similarities
- Safeguards required for compliance without impeding AI progress
- Balancing innovation with responsibility in AI development
- Establishing a responsible and explainable AI culture and structure
- Preventing AI hallucination and adopting Causal AI