Abby Knowles

Abby Knowles has a history of leading multi-year, hundred-million dollar technology and business transformations for Verizon. During this session, Abby will share a leadership action plan for moving from scaling Gen AI to Innovating with it, preparing you and your organization for future technology changes. You’ll gain practical strategies to help future-proof your personal leadership and organization to better flow with technology evolution.

• Change resilience: Reviewing the constant change and pressures to scale and innovate
• Implementing a sustainable “Adoption-scale-innovation” framework for scalable technology change
• Creating a Gen AI personal action plan to master key leadership attributes to effectively lead change.
• Visulaizing how these strategies can accelerate your adoption to innovation runway and unlock high performing business value

Effective change management is critical to ensuring adoption, alignment, and long-term success. This panel will discuss strategies for navigating organizational change, fostering an AI-ready culture, and overcoming resistance to transformation.

• Managing workforce impact: Upskilling, reskilling, and redefining roles in an AI-driven environment.
• Overcoming resistance: Strategies for engaging stakeholders and addressing concerns.
• Establishing governance and accountability for responsible AI integration.
• Measuring success: Tracking adoption, productivity gains, and business impact.

Generative AI holds immense potential to revolutionise sectors like banking, healthcare, and government—but innovation in these fields must operate within tight regulatory and compliance boundaries. This panel brings together leaders from regulated industries to explore how they are unlocking AI-driven transformation without compromising on ethics, safety, or governance.

• Balancing agility and control: Driving Gen-AI experimentation while maintaining regulatory compliance
• Rethinking guardrails, tooling, and internal policies enable safe AI deployment at scale
• Identifying high-value, low-risk entry points for Gen-AI in compliance-heavy environments
• Making infrastructure and tooling decisions that meet both innovation and compliance needs