CDAO Dallas 2025 schedule

To lead in today’s data economy, CDAOs must evolve into enterprise influencers—translating data vision into commercial outcomes and cultural impact. 

• What does a business-first data strategy look like—and how do you build it? 

• Aligning analytics to executive KPIs and revenue levers 

• Overcoming internal friction to elevate the data function's influence 

• Cultivating enterprise-wide trust in data leadership 

Scaling AI is not just a technical challenge—it’s an organizational one. This session unpacks how to scale responsibly, sustainably, and with buy-in. 

• How do you avoid AI fatigue, burnout, and organizational skepticism? 

• Strategies to tame model sprawl and minimize shelfware 

• Balancing speed with executive trust and ethical guardrails 

• Making AI adoption a habit, not a headline 

What does it take to build a modular, adaptable data stack—without losing control?

Learn how composability supports agility while maintaining governance and clarity across the enterprise. 

Beyond the pilot phase, real-world GenAI implementation brings new challenges. This session shares tested strategies for navigating that shift. 

• Balancing innovation with oversight in regulated environments 

• Embedding GenAI into workflows without disruption 

• Mitigating hallucinations and measuring what matters 

• Governance frameworks that support scalable GenAI use 

Data marketplaces are shifting the way enterprises unlock value—internally and externally. Here’s how to lead the transition from data silos to data ecosystems. 

• What does it take to build (or buy) a successful data marketplace? 

• Using data fabrics and virtualization for secure, scalable access 

• Driving monetization through data productization 

• Legal, privacy, and trust considerations for sharing at scale 

Showcasing ROI is the ultimate test of any data initiative. This session explores what success looks like—and how to get there faster. 

• Making the shift from performance metrics to financial impact 

• Speaking the language of the C-suite and the board 

• Calculating ROI in long-cycle or cross-functional use cases 

• How to avoid overpromising and underdelivering with AI 

Even the strongest data strategies fail without execution. This session focuses on how to close the gap between intention and action. 

• Breaking down silos between strategy, product, and engineering 

• Operationalizing AI and analytics without overcomplication 

• Driving cross-functional alignment and accountability 

• Common blockers—and how high-performing teams overcome them 

Governance doesn’t have to be the blocker—it can be the enabler. Learn how modern frameworks support innovation without sacrificing security. 

• Evolving governance for AI-powered, decentralized architectures 

• Managing lineage, auditability, and transparency 

• Building trust without slowing teams down 

• Operationalizing policies that scale with your tech stack 

The future of supply chain is proactive, not reactive. This session explores how AI is driving smarter logistics across high-impact industries. 

• Applying predictive AI for demand sensing and resource planning 

• Reducing risk with scenario modelling and real-time insight 

• Connecting operational data to business performance 

• Tools and models that have delivered measurable ROI 

True data transformation starts with people. Discover how to embed data fluency, trust, and curiosity into your company’s DNA. 

• The anatomy of a successful data culture program 

• Driving adoption through training, storytelling, and incentives 

• Creating alignment across tech, business, and leadership 

• Embedding data into everyday decision-making 

As AI adoption accelerates, security and compliance must keep up. Here’s how to design environments that are both innovative and resilient. 

• Navigating regulatory frameworks like NIST and the EU AI Act 

• Embedding security into data architecture from day one 

• Balancing privacy with performance and accessibility 

• Preventing breaches and building enterprise trust 

Real-time decision-making requires more than dashboards—it demands action at the edge. Learn how to bring intelligence closer to the source. 

• Architectures that enable edge-driven intelligence 

• Use cases across telecom, energy, and retail 

• Managing latency, scale, and cost of edge deployments 

• Moving from data capture to automated action 

Tomorrow’s CDAO won’t just lead data—they’ll shape the organisation itself. This keynote explores the future-ready traits of next-gen data leaders. 

• Building teams that blend technical depth with business fluency 

• Creating agility through organisational design and tooling 

• Driving innovation across the enterprise, not just the data team 

• Leading with trust, transparency, and strategic influence