Live Webinar

AI Readiness vs. Reality: The AI Maturity Journey from Pilot to Scale

Learn how organizations progress through the stages of AI maturity and what it takes to turn early AI initiatives into measurable business value.

Oct. 2, 2026 • 10 a.m. ET

About the webinar

Organizations everywhere are exploring AI, but moving from pilot projects to measurable business value remains a challenge. According to the IDC report AI for SMBs: Closing the Readiness-Reality Gap, many organizations are still working to bridge the gap between AI ambition and real-world results.

In this session, SAS experts and a customer leader will explore the four stages of AI maturity: Experimental, Opportunistic, Structured and Integrated. You'll learn how to assess where your organization stands today, avoid common roadblocks and build the right foundation to move from early AI exploration to broader adoption.

Whether you're just beginning your AI journey or looking to scale existing initiatives, you'll gain practical guidance for turning AI potential into business results.

You’ll learn more about:

  • The four stages of AI maturity and what they look like in practice.
  • How organizations can identify and prioritize high-value AI opportunities.
  • Why defining success metrics is critical to scaling AI initiatives.
  • What it takes to move from pilots to broader business adoption.

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About the experts


Sarah Myers

Senior Industry Marketer, Global Channels & SMB, SAS (Host)

Sarah Myers is a Senior Product Industry Marketer at SAS, where she drives global strategy, positioning and messaging for the small and midsize business segment in support of Global Channels Sales. Known for her customer-first approach, Sarah partners closely with sales, product and field marketing teams to deliver thought leadership, enablement and campaign content to drive pipeline.


David Gardner

Senior Director of Analytics, Boddie-Noell Enterprises

David Gardner is a Sr. Director of Analytics with nine years of SAS experience, specializing in turning complex data into clear, actionable insights. He is committed to exploring diverse data sources to uncover hidden patterns, and a firm believer in using the power of data to spark questions that might otherwise never be asked. He is also an enthusiast of woodworking and golf.


Vasanth Ramdas

Senior Solutions Engineer, SAS

Vasanth Ramdas is a Senior Systems Engineer at SAS with expertise in decision intelligence, machine learning, ModelOps and enterprise AI platforms. Vasanth combines a strong technical background in data science and cloud technologies with hands-on experience helping organizations solve complex business challenges through data-driven solutions. He is passionate about demonstrating innovative applications of SAS and other technologies that drive measurable business value.