AI Innovation Masterclass: The Enterprise Blueprint for Agentic AI, Risk & ROI


Enterprise leaders across APJ are under relentless board pressure to operationalize Agentic AI. However, moving from isolated LLM pilots to production-grade autonomous workloads immediately exposes three structural friction points:

  • Unpredictable Unit Economics: Compute-heavy AI models accelerating public cloud egress and infrastructure spend.
  • Sovereignty & Compliance Mandates: Navigating complex, highly fragmented APJ data residency laws without degrading model performance.
  • Architectural Complexity: Legacy hybrid environments that were never engineered for real-time, agentic data flows.

This executive masterclass delivers the strategic and operational blueprint required to scale AI infrastructure securely, predictably, and at enterprise scale.

Speakers

Steve Bandrowczak

Steve Bandrowczak is a former CIO and former CEO of Xerox.

Dr. Art Langer

Academic Director of the M.S. in Technology Management programs, Columbia University

Register

By submitting this form you are agreeing to Nutanix and its authorized partners to contact you by phone or email for additional information about upcoming events, product news and other marketing information. You can unsubscribe from receiving marketing communications at any time. Nutanix's use of data for its communications are subject to our Privacy Statement. The applicable partner’s communications are subject to the partner’s privacy statement which can be found on its website.



Featured Topics

1

Capital Efficiency & TCO Optimization

Practical frameworks for decoupling high-density AI compute from escalating public cloud fees and unpredictable licensing models.

2

APJ Data Sovereignty & Risk Mitigation

Operationalizing localized data governance and compliance controls to deploy agentic models across fragmented regulatory jurisdictions.

3

Platform Simplification for Scale

How leading global enterprises are modernizing their underlying hybrid multicloud architecture to transition from experimental AI pilots to resilient, enterprise-grade production.