Artificial intelligence is often presented as a solution to every business challenge. In this thought-provoking presentation, Achilles Georgiu, Head of Data, AI & Innovation at MOL, challenged that assumption, arguing that successful AI adoption begins not with the technology, but with understanding the problem organisations are trying to solve.
Drawing on practical examples and familiar analogies, Achilles demonstrated how different categories of business problems require different AI approaches. From troubleshooting and root cause analysis to digital twins and AI-driven exploration, he explained why applying the wrong technology to the wrong problem can increase complexity, cost and ultimately deliver little value.
A central theme throughout the presentation was the importance of trusted data. Achilles highlighted the risks of relying on AI trained on poor-quality information, warning that organisations can become confidently wrong when inaccurate or incomplete data leads to decisions that appear credible but are fundamentally flawed. He reinforced that data quality and clear problem definition are essential foundations for successful AI deployment.
The presentation also explored the concept of AI-powered flexibility, showing how organisations can better align their operational capabilities with changing business demands by selecting the most appropriate AI techniques for each challenge. Rather than viewing AI as a one-size-fits-all solution, Achilles encouraged delegates to adopt a more disciplined, problem-led approach that delivers measurable business value while avoiding unnecessary investment.
Watch the full presentation to discover how understanding the problem first, choosing the right AI approach and building on trusted data can help organisations make better decisions and unlock greater value from artificial intelligence.
Speaker
Achilles Georgiu, Head of Data, AI & Innovation, MOL
