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The morning sessions will kick off by setting the stage for how AI is transforming professional education. Attendees will be introduced to foundational topics such as AI’s role in personalized learning and content creation, with an emphasis on how these innovations are evolving the educational landscape. The focus will be on presenting actionable insights that highlight AI's capabilities to tailor learning experiences and enhance pedagogy. Through expert discussions, participants will explore how AI is being integrated into educational systems, laying a strong foundation for deeper exploration throughout the day.

Session 1A: AI and Personalized Learning will focus on how AI technologies are reshaping the landscape of professional education by delivering customized learning experiences. Attendees will gain insights into the growing importance of personalized learning and the specific ways AI is enhancing this field.

- Explore the significance of personalized learning in professional education and why it is critical for effective skill development.

- Understand how AI is transforming learning environments by tailoring educational content to the unique needs and learning styles of individuals.

- Discover examples of AI-based personalized learning platforms and tools that are revolutionizing the way professionals acquire new skills.

Session 1B: AI ROI in Enterprise Learning will cut through the hype and focus on the business case for AI in professional education. Attendees will learn how leading enterprises are measuring the return on investment from AI-powered learning initiatives, including productivity gains, time-to-competency reduction, and cost savings from content creation at scale.

- Understand the financial metrics that matter when evaluating AI learning platforms, including cost-per-learner, content production velocity, and learner outcome improvements.

- Explore frameworks for building business cases that resonate with CFOs and executive leadership, demonstrating clear ROI from AI investments.

- Review real-world case studies from enterprises that have achieved measurable results, including reduced training costs, faster upskilling cycles, and improved employee retention through personalised learning paths.

Session 2A: Content Creation AI and Pedagogy will explore how advancements in AI are reshaping educational methods and transforming content creation processes. Participants will gain insights into how pedagogy has evolved over time and how AI tools are now enhancing teaching practices.

- Explore the historical evolution of pedagogy and how modern education methods are integrating technology to enhance learning.

- Understand how AI is revolutionising content creation, making it easier to personalize lessons and adapt teaching methods to individual learners.

- Review examples of AI-driven pedagogical systems and how they are being used to improve learner engagement and outcomes across various educational contexts.

Session 2B: The healthcare and life sciences sector faces unique challenges: rapidly evolving medical knowledge, strict regulatory compliance, and the need for continuous professional development across diverse roles. This session explores how AI is transforming clinical education, pharmaceutical training, and bioscience upskilling while maintaining the highest standards of accuracy and compliance.

- Explore how leading healthcare organizations are using AI to rapidly update clinical training materials in response to new research, drug approvals, and treatment protocols.

- Understand compliance and regulatory considerations when implementing AI-powered learning in heavily regulated industries like pharma and medical devices.

- Discover how AI-driven personalization is helping healthcare professionals learn complex procedures, diagnostic techniques, and patient care protocols tailored to their specialty and experience level.

Session 3A: Intellectual Property and AI will focus on how AI impacts intellectual property rights for content creators and the legal frameworks needed to protect their work. This session will also explore the intersection of AI and skill development systems, highlighting the evolving nature of ownership in the digital age.

- Examine the challenges of safeguarding intellectual property (IP) in an era where AI plays a major role in creating content.

- Understand the importance of updating legal protections to keep pace with AI-driven innovation and content creation.

- Explore real-world examples of AI-based skill development systems and how they manage IP concerns for creators and educators alike.

Session 3B: Every enterprise faces a critical decision: should we build our own AI learning infrastructure or partner with specialized platforms? This session provides a strategic framework for making this decision, exploring the trade-offs between custom development and platform partnerships, and highlighting the hidden costs and benefits of each approach.

- Analyze the true total cost of ownership (TCO) for building internal AI learning platforms versus leveraging external partners like Starweaver, including technology costs, talent acquisition, and ongoing maintenance.

- Understand when custom development makes sense versus when best-in-class partnerships deliver faster time-to-value and better outcomes.

- Explore hybrid models that combine internal expertise with external platform capabilities, maximizing control while minimizing risk and development time.

Please bring a sandwich or food to your desk, as we have only allocated 30 minutes for lunch.

The afternoon sessions will shift toward the practical and forward-looking aspects of AI in education, building on the concepts introduced in the morning. The focus will move to real-world applications of AI in assessment and learning analytics, offering attendees a closer look at the tools and techniques transforming data-driven learning. These sessions will also explore the future of AI in education, discussing both the opportunities and challenges that lie ahead, and providing recommendations on how to navigate this evolving landscape with an emphasis on innovation and scalability.

Session 4A: Tooling Education with AI: Not Ruling Education explores how AI can be a powerful tool to enhance education without replacing the critical human element. This session will dive into how AI supports educators in streamlining workflows, customizing learning experiences, and optimizing student outcomes while maintaining human-driven pedagogy.

- Discuss how AI-driven tools can personalize and enhance the educational experience without replacing instructors.

- Explore real-world examples of how AI tools are used in classrooms and corporate training environments to assist, not dominate.

- Examine the ethical implications and boundaries of AI in education, ensuring that the technology supports rather than overrides human input

Session 4B: Financial services institutions operate under intense regulatory scrutiny while facing rapid technological disruption. This session examines how banks, insurance companies, and investment firms are using AI to deliver compliant, effective training on everything from anti-money laundering to blockchain technology—all while managing risk and maintaining audit trails.

- Understand how AI-powered learning platforms can embed compliance checkpoints, certification tracking, and regulatory reporting directly into the learning experience.

- Explore how leading financial institutions are upskilling thousands of employees on emerging technologies (AI, blockchain, digital banking) while maintaining regulatory compliance.

- Review best practices for creating audit-ready learning programs that satisfy regulators while delivering engaging, personalized experiences to learners.

Session 5A: AI and Learning Analytics will examine how AI is reshaping the way learning data is analyzed and applied to improve educational outcomes. The session will emphasize the transformative power of AI in delivering personalized insights, predicting learner success, and driving continuous improvement in professional education.

- Explore the role of learning analytics in shaping the future of education, focusing on how data can inform decision-making and enhance learning experiences.

- Understand how AI-driven analytics tools provide educators and enterprises with deeper insights into learner behavior, progress, and engagement.

- Review real-world examples of AI-based learning analytics systems that are being used to optimize curriculum design, boost learner retention, and improve performance metrics.

Session 5B: Content creators and eLearning platforms face a new reality: learners expect personalized, up-to-date content delivered at massive scale. This session brings together platform executives and content partners to discuss the future of content distribution, partnership models, and how AI is reshaping the economics of online learning.

- Understand how eLearning platforms are evolving their content strategies to incorporate AI-generated and AI-enhanced learning experiences.

- Explore new partnership models between content creators and distribution platforms, including revenue sharing, co-creation agreements, and white-label opportunities.

- Discuss the future of content marketplaces: how AI-powered recommendation engines, dynamic pricing, and hyper-personalization are changing what learners expect and what content succeeds.

AI and the Corporate, Enterprise, and Government Perspective will focus on how AI is shaping strategies across different sectors, enhancing decision-making, and driving innovation. This panel will also address the challenges that these sectors face, such as ethical concerns and regulatory compliance, when integrating AI into their operations.

- Examine how corporations are leveraging AI to optimize operations, improve customer experiences, and gain a competitive edge.

- Discuss the unique challenges faced by governments in adopting AI, including transparency, data privacy, and public trust.

- Explore how enterprises are using AI to drive large-scale innovation while managing workforce transitions and technology integration.

The World Economic Forum predicts that 50% of all employees will need reskilling by 2027. But how do you train people for roles that haven't been defined yet? This session explores cutting-edge approaches to future-proofing your workforce, including skills taxonomies, career pathing with AI, and adaptive learning systems that evolve as job requirements change.

- Explore how forward-thinking organizations are moving from job-based training to skills-based development, creating flexible learning pathways that adapt as roles evolve.

- Understand how AI can predict emerging skill gaps and proactively recommend learning journeys before skills become critical business needs.

- Review innovative approaches to career pathing and internal mobility powered by AI, helping employees navigate their own development and reducing costly external hiring.

Confirmed Demonstration:

Starweaver: Journeybuilder.ai (Platform launch showcase)

Proposed Partner Presentations (3 additional slots):

TBD - eLearning Platform Partner (Coursera, LinkedIn Learning, or Udemy representative)

TBD - Complementary Technology Partner (LXP, Skills Platform, or Assessment Tool)

TBD - Client Success Story (Enterprise customer showcasing Starweaver implementation)

Topic: "The Hyper-Personalization Imperative: Why Learning Experience Is the New Competitive Advantage"