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Strategic Perspectives From Those Shaping Today's AI Agenda
SESSION SPOTLIGHT
The Human Side of AI: Skills, Culture, and Organization Design
Preparing the workforce for an AI-driven future requires a collaborative approach. What are the critical skill gaps, continuous learning, and inclusive upskilling initiatives necessary to ensure no one is left behind? Our industry experts will share practical strategies, success stories, and challenges to equip individuals for an AI-powered economy, and a more resilient workforce.
- What are the critical skill gaps that need to be addressed for your employees to thrive in an AI-driven future?
- How can you foster a culture of continuous learning to keep up with the rapid pace of AI advancements?
- What upskilling initiatives should you implement to prepare all employees for an AI-powered workforce?
- Do you need to create a separate AI team within your organizational design?
Discover More Agenda Highlights
Tuesday, June 3rd
Tuesday, June 3rd
1:00 - 1:30 PM | How CISOs Are Transforming AI Security into Business Advantage
The evolving CISO role has moved beyond defensive postures to become a strategic business enabler. Gaurav Kapil reveals how forward-thinking security leaders are embedding AI throughout the software development lifecycle, creating secure innovation pathways rather than roadblocks. Drawing from board-level experiences at Bread Financial, he’ll demonstrate how security transforms from cost center to value creator through enhanced threat prediction and streamlined response. Walk away with practical approaches to position AI security as an enterprise-wide competitive advantage driver.
1:50 - 2:20 PM | Modernizing Data Architecture for AI Success: Lessons Learned
Most companies charge into AI without invigorating or fixing their data infrastructure. The following panel of leaders share stories about what worked— and what hasn’t — when rebuilding their data foundations for AI. You'll hear how companies are solving specific challenges: connecting fragmented data across business units with data intelligence, handling the massive volume requirements of training through data operations, and building data platforms that maintain data quality at scale.
- How do you prioritize data quality, integration and governance before scaling AI initiatives?
- How can your enterprise break down data silos and unify fragmented information to fuel AI models effectively?
- What team structures and operational strategies can ensure your organization is an AI winner and not stuck in endless data chaos?
3:30 - 4:00 PM | From Pilot to Production: Scaling AI Across Business Units
Moving AI projects from successful pilots to enterprise-wide adoption requires more than just technical know-how. In this panel, leaders share their frameworks for scaling AI across diverse business functions with measurable results. Hear how companies are implementing Wave 2 GenAI use cases that go beyond basic automation, including early successes with agentic AI systems that can plan and execute complex workflows. Discover how to measure productivity gains, secure ongoing executive support, and build scalable technical foundations to deliver consistent value.
- How can you use agentic AI systems to transform workflow automation and drive operational efficiency beyond traditional methods?
- What frameworks should you consider for scaling AI across business functions and ensuring measurable, lasting results?
- What strategies are necessary for building a sustainable AI foundation?
Wednesday, June 4th
Wednesday, June 4th
9:45 - 10:15 PM | From Failing Fast to AI Excellence: How Agentic AI Transformed Healthcare Decision-Making at Takeda
In an era where AI and automation are reshaping industries, healthcare and pharmaceuticals stand poised to leverage the transformative potential of agentic artificial intelligence (AI). This keynote will explore how embracing a “fail-fast, learn-fast” mindset catalyzes innovation in AI-driven healthcare solutions. Through real-world narratives and lessons learned, Leo Barella will unpack how iterative learning creates opportunities to regulate, integrate, and build trust in AI systems while enabling improved patient outcomes. The session will uncover strategies for fostering resilience, iterative innovation, and governance in healthcare AI adoption, culminating in actionable ideas for decision-making excellence powered by generative and agentic AI.
10:50 - 11:20 AM | The Human Side of AI: Skills, Culture, and Organization Design
Preparing the workforce for an AI-driven future requires a collaborative approach. What are the critical skill gaps, continuous learning, and inclusive upskilling initiatives necessary to ensure no one is left behind? Our industry experts will share practical strategies, success stories, and challenges to equip individuals for an AI-powered economy, and a more resilient workforce.
- What are the critical skill gaps that need to be addressed for your employees to thrive in an AI-driven future?
- How can you foster a culture of continuous learning to keep up with the rapid pace of AI advancements?
- What upskilling initiatives should you implement to prepare all employees for an AI-powered workforce?
- Do you need to create a separate AI team within your organizational design?
2:25 - 2:55 PM | Responsible AI in Practice: Approaches to Ethical AI Development
Companies racing to deploy AI face tough questions about risks, ethics, and long-term value. How are organizations balancing innovation with governance, establishing clear risk guidelines, and turning ethical considerations into competitive advantages?
- How can your enterprise balance AI innovation with strong governance?
- What AI governance frameworks should you implement to ensure responsible deployment?
- How can ethical considerations be turned into a competitive advantage while creating AI systems that deliver long-term value?
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