Key takeaways
Empowering Asset Managers to Deploy AI Without Compromising Internal Compliance
Learn how to satisfy internal governance teams while unlocking the full potential of your firm’s data and AI investments
AI offers tremendous opportunities for asset management firms—from automating workflows to enhancing client service and decision-making. But adoption often stalls when internal compliance and governance teams don’t have a clear line of sight into how these tools operate, where the data flows, or whether safeguards are in place.
That’s where this webinar comes in.
In collaboration with The SME Forum, HSO a hosted session designed to help asset management leaders roll out AI securely and confidently, without compromising internal policies or risk standards.
Who Should Watch:
- Chief Data Officers
- Heads of Risk, Compliance, and Governance
- Operations and Transformation Leaders
- Sales & Marketing Executives in Asset Management
- 1
How to align AI use cases with internal compliance frameworks
- 2
Real-world examples of firms deploying AI securely in sales, operations, and reporting
- 3
A practical roadmap to AI adoption that satisfies internal reviewers
- 4
How to assess your AI readiness—and explore Microsoft-supported pilots
Watch the following webinar sections
The Data Story
Your Path to Compliance
AI Compliance in Practice
Redemption Request Agent Demo
The Data Story
Your Path to Compliance
AI Compliance in Practice
Redemption Request Agent Demo
Your Speakers
Jonathan Tripple, HSO
Microsoft Cloud Specialist, Financial Services
Tom Berger, HSO
VP and Industry Director, Financial Services
Mike Hammons, HSO
Enterprise Architect - AI, Data, Power Platform
Marceline Smith, Microsoft
Global Black Belt, Service Transformation Lead
Unlock AI Value—On Your Terms
A complimentary, 2-hour strategy workshop - virtual or in-person at HSO's NYC office - to identify and prioritize high-impact Copilot and AI use cases in Capital Markets while keeping internal compliance front and center.
Make compliance your catalyst, not your constraint, for AI innovation.