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

• 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

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

• 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

• 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

• 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, Head of Data Management & Digital Air Selangor