CDAO Malaysia schedule

• Exploring the latest developments in AI like Agentic AI and XAI while understanding the current impact of GenAI
• Exploring strategies to integrate AI into organisations to embed AI into strategic planning and decision-making
• Highlighting the necessity for leaders to champion ethical AI practices and promote a culture of continuous learning and innovation

Speakers:

Sam Majid CEO National AI Office

Ong Hong Hoe Director of Digital Technology Labuan Financial Services Authority

• Discuss how Natural Language Processing (NLP) can make complex data more accessible to users by allowing them to interact with data using natural language queries
• Examining how NLP can provide contextual insights from unstructured data sources, enabling organisations to make more informed decisions
• Addressing the challenges organisations face when integrating NLP technologies into their existing systems

• Exploring how data democratisation can help drive efficiencies through self-service analytics tools and empower business units to generate insights. Examples from your organisation
• Examining the importance and challenges of security in the drive towards AI and data democratisation
• Unlocking business value through AI and data democratisation: How can you measure impact?
• Understanding ethical challenges of AI in an open data world
• Thoughts around how to accelerate talent growth through innovation and collaborations

Moderator

Ashis Patwary Senior Director of Business Development Tiger Analytics

Panellists

Aditya Ranjit Tuli, Chief Digital Officer, SD Guthrie

• Identifying the AI skills gap and developing targeted training programs
• Building a flexible learning culture to keep pace with AI advancements
• Encouraging a mindset shift towards AI adoption and innovation

Moderator

Rachna Gupta Chapter Lead She Loves Data

Panellists

Arfah Aridz Director, Data Conduct - Responsible AI & Data Ethics Standard Chartered Bank

Dr Sheila Mahalingam Principal Assistant Director IT Ministry of Digital

Datin Habsah Nordin Head of AI Center of Excellence PETRONAS

Md Abdul Mukaddem Director, Digital Commercial & AI Coca-Cola Singapore, Malaysia, & Brunei

• Discussing how innovative analytics tools can transform raw data into actionable insights, enhancing customer understanding and engagement strategies.
• Identifying key metrics for success - defining relevant metrics that align with business goals
• Integrating feedback for continuous improvement

• Exploring the infrastructure requirements to support the computational intensity of agentic AI
• Discussing the importance of robust data pipelines and real-time processing capabilities to ensure agentic AI systems can make accurate, timely decisions in dynamic environments
• Examining how enterprises can enhance their IT infrastructure with advanced cybersecurity measures and fault-tolerant systems to safeguard autonomous AI operations against threats and disruptions 

• Discussing the importance of designing analytics tools that are intuitive and user-friendly, enabling easy access to insights for all users
• Exploring methods for gathering user feedback to continuously improve analytics tools and ensure they meet user needs effectively
• Highlighting strategies for empowering users with self-service capabilities, allowing them to explore data independently and make informed decisions

• Regulatory and Ethical AI Governance – Navigating Malaysia’s evolving AI and data privacy regulations (Bank Negara, PDPC) and aligning with global frameworks like GDPR
• Building Responsible AI Practices – Implementing AI governance policies, minimising reliance on PII, and ensuring fairness, transparency, and accountability
• Balancing AI Innovation with Privacy and Ethics – Exploring best practices for integrating AI into business processes while ensuring ethical use of data, minimising reliance on personally identifiable information (PII), and maintaining transparency

• Understanding the complexities of adhering to diverse data protection regulations across different jurisdictions
• Facilitating secure data transfers cross-border while maintaining compliance with local laws and international standards
• Highlighting the need for collaboration between organisations, regulators, and stakeholders to create effective governance frameworks

• Instilling a sense of ownership among employees regarding data governance, encouraging accountability at all levels
• Creating training initiatives to enhance the understanding of data governance principles
• Understanding the importance of establishing feedback loops to continuously improve governance practices

• Explore how agentic AI systems make decisions independently and the ethical implications of limited human oversight
• Discuss frameworks for assigning responsibility and ensuring traceability in actions taken by autonomous AI systems
• Examine how global compliance standards are adapting to agentic AI, and what organisations must do to stay ahead

• Building scalable, business-aligned data strategies to fuel innovation, customer value, and revenue generation
• Unpacking evolving data monetisation models—from internal efficiency gains and enhanced personalisation to new data-as-a-service business models
• Discussing what’s needed to build trust, infrastructure, and talent to support them

AI has the potential to transform businesses, but its success relies on one critical factor—trusted, high-quality data. Despite the excitement around AI, only 4% of businesses believe their data is AI-ready. Without accurate, complete, and well-governed data, AI can produce biased, unreliable, and even damaging outcomes. In this session, we’ll explore:

• The risks of AI failures caused by poor data quality and governance
• Essential strategies for improving data integrity to enable AI success
• Practical solutions for integrating, enriching, and governing data to maximize AI value

• How 5G slicing enables targeted analytics and real-time responsiveness
• Practical implementations of IoT-driven data analysis for network and customer experience optimisation
• The critical role of network architecture in enabling data democratisation across large organisations
• Challenges encountered in real-world deployments—and how to overcome them

• Utilising storytelling techniques that resonate with stakeholders and facilitate understanding
• Simplifying data visualisation to make it more accessible and actionable for decision-makers
• Connecting insights to strategic actions to drive business strategies and outcomes

• Building effective collaborations among stakeholders to enhance innovation and driving business growth
• Navigating regulatory and compliance challenges while forming data partnerships, ensuring that data sharing aligns with legal frameworks and ethical standards.
• Maximising value through data integration to unlock new insights

Panellists

Eva Poovan Head Group Data Astro

Kelferd Hor Chartered IT Professional, Digital Banking Innovation British Computer Society

Dr Izzatdin Abdul Aziz Head, Center for Research in Data Science (CERDAS) Universiti Teknologi PETRONAS

• How can organisations adopt AI and advanced analytics while staying compliant with evolving laws like the PDPA, Cybersecurity Act, and Data Sharing Act?
• The growing importance of the Data Protection Officer role and how data governance must shift from checkbox compliance to proactive risk management
• As AI systems demand more data, how do we manage security, privacy, and ethical use—especially in sectors handling sensitive information?

Speakers:

Lip Kar Lock VP, Operational Excellence Transformation Air Selangor

Jacky Cheong Head of Enterprise Data Governance CelcomDigi