Many organizations recognize the potential of artificial intelligence but struggle to turn interest into real operational progress, especially within complex, mission-critical mainframe environments. Once organizations begin exploring AI, the next challenge becomes clear: where to start, how to scale, and what capabilities must mature to achieve trusted, enterprise-wide adoption.
This Tech Talk webinar provides a practical, hands-on framework for progressing through the four stages of AI readiness. Attendees will learn the concrete steps organizations can take to move from foundational preparedness to coordinated, enterprise-scale AI execution while avoiding the common gaps that slow adoption and limit results.
Focused on mainframe optimization and transformation, the session explores the real-world requirements for enterprise AI success, including establishing a trusted data foundation, enabling governance without slowing innovation, and building the intelligence and coordination layers required to operationalize AI across teams, workflows, and decision-making processes.
Designed as a follow-up to earlier AI readiness discussions, this webinar moves beyond theory to deliver actionable guidance for organizations beginning their AI journey as well as those looking to accelerate adoption with greater confidence, alignment, and measurable business impact.
After this Tech Talk, you’ll have a much clearer roadmap to turn AI from concept into measurable mainframe outcomes.
What You’ll Learn:
- Understanding of the four stages of AI readiness, where your mainframe stands today, and how to progress through the stages
- How to assess your current AI maturity across data, governance, skills, and operations
- Practical strategies for moving from AI experimentation to scalable operational outcomes
- Why the governance layer is essential for trust, compliance, and sustainable AI Adoption