AI is advancing rapidly, but greater capability does not always mean greater reliability.
Fernando Lucini explores why the next phase of AI will be shaped not only by more powerful models, but by the systems, tools and safeguards built around them. Drawing on his experience across Autonomy, HP, Accenture and Faculty, he explains where today’s AI performs exceptionally well, where it remains unpredictable, and why businesses need to understand both its potential and its limitations.
The conversation explores AI hallucinations and reliability, the rise of open-source models, the growing importance of AI harnesses, and the challenge of deciding how much autonomy these systems should be given.
As AI becomes capable of solving increasingly complex problems while still making surprisingly basic mistakes, Fernando examines how organisations can capture its value without placing too much trust in imperfect systems.
