Gain the clarity, control, and foresight to shape resilient data strategies. This training enables leaders to unlock business value, ensure compliance, and build trusted foundations for AI adoption in a rapidly evolving global data ecosystem.
Data has been dubbed as “the new oil”, employing a metaphor to highlight its importance to power businesses as well as its risks to get burned and pollute its environment. While there is an awareness of the value of data, especially in the age of AI, it also has been recognised that data can be sensitive, costly to maintain, and negatively impact the interests of individuals, business, and society. It is estimated that data accounts for 40% of overall data centre costs, while over 80% of that managed data is considered stale as it does not yield any business value.
While data legislation has historically been perceived as an economic burden and innovation inhibitor, recent strategic policy shifts aim to reduce barriers of data sharing to benefit society. For example, the EU Data Act, which was enforced in September 2025. It increases the incentives of data holders to voluntarily enter into data sharing agreements, reduces the legal uncertainty, levels imbalances in power, and mandates technical interoperability.
This training course condenses the knowledge that leaders need to stay up to date with their data strategy in the age of AI. It comprehensively summarizes the current state and trends of the global data ecosystem and enables participants to recognise business opportunities, understand risks and gain actionable insights to draft and validate their data strategy. It summarises and contrasts the regulatory and policy of approaches of the big three (EU, USA, China).
This training focuses on strategic decision-making rather than technical details, providing executives with the knowledge and tools needed to make informed strategy decisions regarding their data initiatives.
This training course condenses the knowledge that leaders need to stay up to date with their data strategy in the age of AI. It comprehensively summarizes the current state and trends of the global data ecosystem and enables participants to recognise business opportunities, understand risks and gain actionable insights to draft and validate their data strategy. It summarises and contrasts the regulatory and policy of approaches of the big three (EU, USA, China).
This training focuses on strategic decision-making rather than technical details, providing executives with the knowledge and tools needed to make informed strategy decisions regarding their data initiatives.
| Topic | Description |
|---|---|
| Introduction and motivation (20 minutes) |
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| Core concepts of the data ecosystem (30 mins) |
|
| Regulatory landscape, policy approaches and industry best practices (120 mins) |
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| Data opportunities and costs (40 mins) |
|
| The data trust architecture (30 mins) |
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| Data risk mitigation (30 mins) |
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| Practical data governance use-case exercise (40 mins) | |
| Develop and validate a compliance strategy (30 mins) |
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| Summary and Q&A (20 mins) |
This training is ideal for leaders shaping data and AI strategy in their organisations:
This training is delivered by senior thought leaders and active participants in the global regulatory and data governance ecosystem.
Duration: 1 full-day or 2x half days
Option 1: Virtual instructor-led
Option 2: On-site in Singapore
Dr Martin Saerbeck brings over two decades of experience in AI, digital innovation, and risk management, specialising in building AI solutions that meet rigorous standards for safety, security, and compliance. As CTO and Co-Founder of AIQURIS – a TUV SUD Venture, he drives the mission to enable organisations to deploy AI in high-stakes environments with confidence. Dr Saerbeck’s work has been instrumental in establishing the TUV SUD AI Quality Framework, which serves as a benchmark for AI auditing and certification across industries such as manufacturing, healthcare, and aerospace.
