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How to scale AI in compliance-driven sectors

Compliance-driven industries face unique challenges when deploying AI - from regulatory scrutiny and data privacy constraints to high cloud costs and infrastructure complexity. In this webcast, leaders from EY, Dell and NVIDIA explore what’s holding AI back in these environments and how organizations can overcome those barriers.

Panelists will discuss how private and hybrid AI deployments can help meet compliance needs, help reduce risk and unlock business value - without compromising performance or governance. Join us to learn how enterprises are moving from AI ambition to real outcomes and what strategies are working in sectors like financial services, life sciences and more.

Topics discussed include:

  • How compliance-driven industries are rethinking AI deployment
  • What to weigh when choosing public cloud, hybrid or on-prem AI
  • Why a unified strategy matters in fragmented tech environments
  • How EY, Dell and NVIDIA reduce risk and support compliance at scale
  • Sector-specific insights from leaders in data-sensitive industries

Strict regulations and data demands slow AI adoption. EY, Dell Technologies and NVIDIA help industries deploy AI securely-on-prem, hybrid or cloud-without sacrificing performance or governance.

Moderator

Johnny Sandhu - EY Global Dell Technologies Alliance Leader; Global Client Services Partner, Ernst & Young LLP

Panel

Chris Nelson - Director of Services, NVIDIA

Leon Taiman - Global Telecom & Edge Practice Lead, Global Transformation Office, Dell Technologies

Vidhya Sekhar - EY Americas Financial Services Data and Analytics Leader

Webcast

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Scaling AI securely in regulated industries
 
Industries with strict data and compliance requirements need more than a cloud-first AI approach - they need a solution that meets regulatory demands without slowing innovation.