As AI moves from experimentation to enterprise-wide adoption, data and AI leaders are increasingly focused on one critical question: how ready is their organization to scale AI responsibly and effectively? If you missed our live webinar, you can now access the full executive session on-demand.

In this session, Monte Carlo and CDO Magazine spotlight key findings from our recent survey of Chief Data Officers and senior data & AI leaders, examining how organizations are preparing their data foundations, governance frameworks, and operating models for the next phase of AI.

Why this session is essential for 2026

This conversation goes beyond the research, bringing these insights to life through a discussion between Monte Carlo’s CEO and data & AI leaders who are navigating AI readiness firsthand. Together, they explore what it truly means to be AI-ready.

Key discussion points:

• Ensuring data quality and reliability: How to prepare your data foundation to handle AI scaling responsibly.
• Aligning stakeholders: Strategies to ensure everyone from IT to the business is on the same page.
• Managing risk and governance: Updating governance frameworks for the next phase of enterprise AI.
• Demonstrating business value: How to measure, build trust, and unlock meaningful impact from your AI initiatives.

The expert panel:

• Pankaj Kamble, SVP, Data & Insights, US Bank
• Qahir Rajwani, VP Client Experience & Analytics, CIBC Mellon

Moderator: Barr Moses, Co-Founder & CEO, Monte Carlo Data

Assess your AI readiness

Don’t let a weak data foundation hold back your organization’s AI potential. Access this practical, forward-looking exchange to identify the steps needed to build trust and scale responsibly.