Agenda

09:00 – 10:00

REGISTRATION AND REFRESHMENTS

10:00 – 10:10

OPENING REMARKS

10:10 – 10:30

Reimagining Vision 2030 Through Data Intelligence: From National Ambition to Measurable Outcomes

  • Translating Vision 2030 priorities into data-driven execution across economy, government, and society
  • Moving from digital transformation to intelligence-led national performance
  • Establishing data and AI as strategic enablers of long-term economic resilience

10:30 – 10:50

Saudi Arabia’s AI Momentum: Building a Globally Competitive, Trusted Intelligence Ecosystem

  • Positioning the Kingdom as a regional and global leader in applied AI and analytics
  • Advancing trust, transparency, and accountability in large-scale AI adoption
  • Creating an ecosystem where policy, innovation, and enterprise intelligence reinforce each other

10:50 – 11:10

From Copilots to Agents: The Next Evolution of Generative AI in Business

  • Key differences between copilots, assistants, and agentic systems
  • Identifying high-value use cases for autonomous agents
  • Managing reliability, accuracy, and performance at scale

11:10 – 11:30

From Data Availability to Data Advantage: Unlocking Value Across Enterprises and Institutions

  • Why data abundance does not always translate into business or policy impact
  • Converting fragmented data into consistent, decision-ready intelligence
  • Measuring success through outcomes, not dashboards

11:30 – 11:50

Beyond the Hype: Making Generative AI Deliver Real Enterprise Value

  • Separating experimentation from scalable GenAI impact
  • Identifying high-value GenAI use cases across operations, knowledge work, and strategy
  • Managing risk, hallucination, and governance in GenAI adoption

11:50 – 12:20

Panel Discussion

Redefining Transformation: The Power of AI and Analytics in Action

  • Why transformation today is led by insight, not technology alone
  • Embedding AI into core decision-making processes
  • Lessons learned from scaling analytics across complex organizations

12:20 – 12:50

NETWORKING BREAK & VISIT TO EXHIBITOR LOUNGE

12:50 – 13:10

Decision Intelligence at the Executive Level: Designing for Clarity, Speed, and Confidence

  • Elevating leadership decision-making with predictive and prescriptive analytics
  • Reducing noise and complexity in executive intelligence
  • Aligning insights with strategic priorities and risk appetite

13:10 – 13:40

Panel Discussion

Turning Enterprise Data into Continuous Intelligence: Beyond Dashboards and Reports

  • How modern analytics platforms enable always-on insights
  • Moving from periodic reporting to real-time, decision-ready intelligence
  • Demonstrating measurable impact across business functions

13:40 – 14:00

Building the Data & AI Organisation: Skills, Roles, and Operating Models for Scale

  • How CDO organisations are evolving to support enterprise-wide AI adoption
  • Defining new roles across data engineering, analytics, AI risk, and product ownership
  • Build, buy, and partner decisions in a constrained talent market

14:00 – 15:00

LUNCH & VISIT TO EXHIBITOR LOUNGE

15:00 – 15:15

Storytelling with Data: Influencing Strategy Through Insight, Not Information

  • Turning complex analytics into compelling executive narratives
  • Designing insights that drive action, not just awareness
  • Evaluating the business impact of data storytelling

15:15 – 15:30

Data Virtualisation, Mesh, and Warehousing: Designing a Cohesive Enterprise Data Strategy

  • Understanding when and where each approach delivers the most value
  • Avoiding architectural silos and duplication
  • Aligning data architecture with business and national objectives

15:45 – 16:00

Panel Discussion

The Next Wave of Advanced Analytics: Adaptive, Predictive, and Self-Learning Systems

  • How analytics is evolving beyond static models
  • Continuous learning systems in dynamic environments
  • Preparing organizations for adaptive intelligence

16:00 – 16:30

CLOSING REMARKS & VISIT TO EXHIBITOR LOUNGE

09:00 – 10:00

REGISTRATION AND REFRESHMENTS

10:00 – 10:20

Building an Intelligence-Driven Economy: Execution, Scale, and Long-Term Value

  • Shifting focus from digital capability building to intelligence-led execution
  • Scaling analytics and AI across institutions without fragmentation
  • Embedding data intelligence into long-term national and economic planning

10:20 – 10:40

Agentic AI at National Scale: Accelerating Intelligence-Led Transformation

  • The role of agentic AI in large, complex national and enterprise systems
  • Opportunities and risks of autonomy at scale
  • Ensuring trust, transparency, and alignment with national priorities

10:40 – 11:00

AI-Enabled Cities: Designing Intelligence-Driven Urban Experiences

  • Using data and AI to improve mobility, safety, and service delivery
  • Real-time urban intelligence for planning and resilience
  • Ethical considerations in large-scale urban analytics

11:00 – 11:20

Why AI Fails Without Trustworthy Data: Elevating Quality, Context, and Consistency

  • The hidden cost of poor data quality in AI initiatives
  • Embedding quality and accountability into analytics lifecycles
  • Preparing data foundations for long-term AI success

11:20 – 11:40

Predictive Customer Intelligence: Anticipating Needs Before They Are Expressed

  • Using AI to move from reactive to anticipatory engagement
  • Integrating customer data across touchpoints
  • Measuring impact on loyalty, retention, and growth

11:40 – 12:10

Panel Discussion

Generative AI in the Real World: What’s Working, What’s Not, What’s Next

  • Real-world GenAI success stories and failures
  • Organizational readiness and capability gaps
  • Preparing for the next phase of intelligent systems

12:10 – 12:40

NETWORKING BREAK & VISIT TO EXHIBITOR LOUNGE

12:40 – 13:00

Measuring the Economics of Data and AI: Cost, Value, and Accountability

  • Understanding the true cost structure of analytics and AI initiatives
  • Moving from use-case ROI to portfolio-level value measurement
  • Making informed investment decisions in an AI-intensive environment

13:00 – 13:30

Panel Discussion

Ethical Data Governance: Protecting Privacy, Ensuring Fairness, and Enabling Value

  • Managing sensitive and personal data responsibly across analytics ecosystems
  • Aligning data governance with ethical and societal expectations
  • Enabling data-driven innovation while maintaining trust and compliance

13:30 – 13:45

From Data Exposure to Data Assurance: Strengthening Security Across Analytics Ecosystems

  • Addressing risks introduced by shared, distributed, and self-service analytics models
  • Ensuring confidentiality, integrity, and availability of analytical data
  • Building confidence in analytics-driven decisions through robust security practices

13:45 – 14:15

Panel Discussion

The Road Ahead for Data and AI: Priorities for the Next Phase of Maturity

  • How data and AI priorities are evolving as organisations move beyond early adoption
  • Key focus areas leaders should concentrate on over the next few years
  • Ensuring sustained value, scalability, and alignment with organisational goals

14:15 – 15:00

LUNCH & VISIT TO EXHIBITOR LOUNGE

15:00 – 16:00

AWARDS

*The above is a running agenda and is subject to change