7th Chief Digital & Data Officer Hong Kong 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, given the decoupling of East and West technological ecosystems, 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 Hong Kong 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, compliance, and emerging tech as CDOs reconsider how technology is delivered, address skill gaps and reframe what success looks like.
Why Chief Digital & Data Officer Hong Kong Summit is Different
- Create business impacts and outcomes through digital and data initiatives
- Achieve agility and digital capability for pre-digital, legacy-laded enterprises
- Craft seamless experiences for customers and employees to drive human-centricity
- Build data and AI capabilities through structure, talent and tech
- Explore exponential technologies for monetization opportunities
AGENDA
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 analyst 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
- Democratising AI with self-services and improved accessibility
Moderator:
Facilitating the next generation of AI requires massive computing power and cost-effective data storage. Stringent requirements on data privacy, security, and sovereignty add an additional layer of consideration in removing data gravity barriers. And with sustainability now a board-level mandate, CDOs must rethink the IT infrastructure behind the data. This session will explore ways to unlock the potential of AI at all scales.
The global technology ecosystem is diverging. Hong Kong, in the crossroads of East and West, sees significant implications in investment decisions for tech solutions, from infrastructure to architecture, front end to back end. And CDOs must adapt accordingly. This panel will discuss:
- Establishing China & non-China tech strategies without duplicating costs
- Navigating potential risks for medium to long-term tech adoption
- Adapting tech roadmaps according to HK-China integration and company’s strategic directions
- Integrating fragmented infrastructure and architecture, such as data lakes
- Rethinking data gathering, broader architectures, and tech tool deployments
Interviewer:
The AI revolution isn't coming — it's here. Businesses that can harness the power of AI and data will lead the pack; those who can't will be left behind. But AI is only as powerful as its connections. The ability to manage and move massive amounts of data securely and reliably is critical to harnessing the true power of AI.
This roundtable discussion, co-hosted by Digital Realty and AT&T, will take a case study approach to overcoming significant barriers. Learn how AI leaders shape diverse industries, from manufacturing, financial services, oil and gas, and agriculture to real estate, F&B and data analytics. Along the way, we will explore why AT&T's rich history in network connectivity and Digital Realty's global data center infrastructure offer unique advantages to your AI ambitions.
AI is gaining a larger share of most conversations amongst CXOs, and digital leaders are expected to have answers and plans even as they struggle with legacy challenges. Leveraging learnings from successful AI-led transformations, this session demonstrates how digital leaders can elevate their priorities, drive board agenda, and become agents of change across their organizations, by taking their role in the driver’s seat for delivering success through AI.
AI is evolving quickly, and some technologists believe that it heralds new capabilities. Others opt that AI’s fast-paced advancement creates conceptualisation and implementation 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
- Deriving the capabilities and limitations of AI to manage management expectation
- Strengthening human creativity for ideas and designs amidst GenAI reliance
Moderator:
The world is built on mistrust, with good reasons. And we can't trust the data, the algorithms, the external vendors, and our neighbors across borders. These culminate into non-actions, segmentation, manual intervention, and legislations that all prolong or delay AI and automation initiatives. This panel will discuss:
- Tightening data and AI governance without impeding the speed of innovation
- Feeding data to third party systems and platforms safely
- Rethinking data architecture and storage considering data sovereignty requirements
- Understanding underlying AI models to avoid treating AI as black boxes, in particularly for AIaaS
- Overcoming the accuracy and IP challenges of GenAI
- Minimizing human-in-the-loop intervention to enhance automation
Interviewee:
SPEAKERS
