Cover Image for Machine Learning & AI for Financial Resilience
Cover Image for Machine Learning & AI for Financial Resilience
12 Went

Machine Learning & AI for Financial Resilience

Hosted by Abhishek kaushik
Registration
Past Event
Welcome! To join the event, please register below.
About Event

🎓 About This Free Webinar

This is a free, live session focused on practical application, not theory.

You will explore how Machine Learning and AI help finance and risk teams detect emerging risks earlier, respond faster to demand shifts, and build resilience in unstable environments.

Expect real-world insights, expert panel perspectives, and an interactive Q&A designed to spark meaningful discussion.

🎯 Who Should Attend

👩‍💼 FP&A and Finance Professionals
Working on forecasting, budgeting, and strategic planning.

⚖️ Risk, Compliance, and Internal Controls Leaders
Navigating uncertainty in volatile and interconnected markets.

📊 Business and Strategy Leaders
Looking to make faster, data-driven decisions.

🧠 Data and Analytics Professionals
Supporting finance, planning, and enterprise risk teams.

🌍 Curious Professionals
Anyone interested in how ML and AI are applied in real-world financial operations.

🚀 What You Will Walk Away With

📈 A practical understanding of how ML and AI are used in FP&A and risk teams today.

🔎 Real examples of ML-driven forecasting, real-time analytics, and automated scenario modeling.

🧩 A clear framework for decision-making under uncertainty.

⚠️ Insight into trade-offs, limitations, and implementation challenges of AI in finance.

💡 Actionable ideas you can apply immediately, even without deep technical expertise.

This webinar is completely free - but the insights are practical, real, and immediately applicable.

Host & Instructor:

Pablo Moreno | Oluwole Fagbohun | Salvatore Capuano

AI Product Manager | Founder & CEO | Research & Tech Lead

Format & Access

  • ​​Format: Live virtual webinar

  • ​​Accessibility: Join from anywhere in the world

  • ​​Pricing: Free

  • ​​Date & Time: 28th March 2026, 3:00 PM (GMT+01:00)

Important Instructions

​​• Registration is mandatory.
• The Microsoft Teams joining link will be shared via email 2 hours before the session.
• Please ensure you register with a valid email address.
• Seats may be limited.

​​👉 Click Register to reserve your seat.

Location
Joining link will be shared 12 hours before the session with registered participants.
12 Went