Sofia AI and Machine Learning Meetup

## AI Is Changing How Companies Understand, Anticipate, and Manage Risk

This is a time of year when many organisations take stock of risk — operational, financial, geopolitical, regulatory, and reputational. It is also a time when executives and professionals are still trying to understand what AI actually means in practice, beyond slides and slogans.

A crucial clarification upfront: the objective of enterprise risk management is not to eliminate risk.

• Every corporation must take risk to create value. Investment returns are inseparable from uncertainty, exposure, and change.
• The real challenge is not whether to take risk, but which risks are worth taking, which are not, and how non-productive risk is identified, mitigated, or avoided.
• Navigating risk well — not avoiding it — is what produces sustained returns.

The presentations at this meetup sit precisely at the intersection of these themes.

AI is no longer a future technology in enterprise risk. It is already reshaping how risks are detected, interpreted, prioritised, and acted upon — often earlier, faster, and at a scale that was previously impossible. Its value lies not in removing uncertainty, but in improving how organisations distinguish signal from noise, align risk-taking with expected returns, and respond before risks crystallise.

At the same time, there remains a wide gap between the promise of AI and its responsible, effective deployment inside real organisations.

The discussion will be practical, not theoretical.

## Who Should Attend

1. Risk professionals and analysts
Including those in insurance, asset management, corporate law, crisis management, and PR.
2. Strategy, intelligence, and corporate affairs (& PR) professionals
Anyone involved in sensing, interpreting, and acting on external risk.
3. Data scientists and ML practitioners
Especially those interested in how models are used — and constrained — in high-stakes, real-world environments.
4. Educators, students, and recent graduates
With an interest in AI applied to business, policy, and decision-making.
5. News obsessives, historians of recent events, and serious readers of finance and geopolitics
If you follow markets, crises, power shifts, or institutional failure patterns for pleasure, this one is for you too.

We will provide more information closer to the event.