Live Webinar

From Generative AI to Trusted Enterprise Copilots: Scaling Responsible AI

May 28 • 10 a.m. ET • 4 p.m. CET

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About the webinar

Generative AI is reshaping how organizations work, but getting from early experimentation to real, enterprise-wide impact takes more than a generic AI assistant. Domain-aware copilots bring together generative AI, advanced analytics, decisioning and institutional knowledge to deliver AI that’s secure, scalable and responsible.

In this session, SAS and Microsoft will show how their collaboration makes that possible. By combining deep analytics expertise with enterprise-grade generative AI infrastructure, they’re helping organizations move faster with confidence.

The result? Increased productivity for both technical and business users – without sacrificing governance, trust or measurable business outcomes.

In this webinar, you’ll:

  • Understand the evolution from generic GenAI tools to enterprise-ready copilots.
  • Learn what makes domain-aware AI secure, scalable and trustworthy.
  • Explore real-world use cases across data, analytics and industry workflows.
  • Identify practical steps to scale AI responsibly and drive measurable value.

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About the experts


Manisha Khanna

Global Product Marketing Leader – AI, GenAI and Agentic AI

Manisha leads a global team of experts evangelizing AI and generative AI technologies across the areas of market strategy, messaging, engagement, content and product readiness. She has a deep understanding of market dynamics, customer needs and SAS technologies. Manisha holds a double master’s in business administration from the Indian Institute of Management (IIM) and in computer science from the Indian Institute of Technology (IIT) Madras – both specializing in artificial intelligence. Manisha is a published author on predictive analytics topics in IEEE journals, and she regularly speaks on topics of AI, generative AI, trustworthy and responsible AI and analytics.


Brett Wujek

Head of Product Strategy, Next Generation AI Technologies

Dr. Brett Wujek leads product strategy for next-generation AI technologies at SAS. He and his team work to establish the vision and roadmap for products incorporating the latest AI technologies, including generative AI and synthetic data generation. Brett previously worked as a data scientist in the machine learning R&D division at SAS. Prior to that role, he led the development of engineering simulation and design software at Dassault Systèmes. His formal background is in design optimization methodologies. He earned his PhD from the University of Notre Dame for his work developing efficient algorithms for multidisciplinary design optimization.


Sunil Albert

Director, Customer Success (Data and AI) at Microsoft

Sunil Albert is a director of cloud solution architecture at Microsoft, partnering with enterprise and strategic customers to turn cloud, data and AI investments into measurable business outcomes. With more than 20 years at Microsoft, he brings a blend of technical leadership, consulting experience and executive advisory perspective. Sunil leads and coaches high‑impact solution architects who guide customers from early experimentation through production‑ready, governed deployments that are operationally ready and economically defensible. He is known for grounding strategy in clear business justification, ROI and success metrics, so value persists well beyond initial go‑lives. Sunil helps organizations navigate the hard parts of transformation-aligning architecture and delivery with governance, security, cost management and organizational readiness. He emphasizes repeatable patterns, operating models and pragmatic decision‑making that enable solutions to scale, remain compliant and endure.

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