Increasingly sophisticated artificial intelligence (AI) tools, and the corresponding rise of connectors and integrations, present unprecedented opportunities to migrate to “headless” tech stacks that personalize and improve the digital learning experience. Headless learning tech stacks separate the user experience (UX) from back-end operations. This avoid the traditional limitations of learning platform user experience configurations and allow us to surface learning in the interfaces that our employees use every day — all while maintaining the advanced permissioning, tracking and controls that learning platforms provide.

In this session, Bain & Company will share how it is following this approach to close the gap between legacy platforms and leading AI tools. Attendees will hear lessons from Bain’s learning ecosystem modernization, including how it balances innovation with existing commitments and operating principles, without increasing resources.

Key Takeaways:

  • Recognize where a headless learning tech stack can benefit the learner experience and where a traditional LMS may still make sense.
  • Identify how to prioritize which changes to make to your organization’s stack.
  • Evaluate how to transform your tech stack based on your organization’s AI usage and workflows.
  • Assess whether your current platform and content can support a decoupled front end.

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Speakers

Matthew Murray, VP of Digital Learning, Bain & Company

Matthew Murray leads the digital learning team at Bain. He has over 20 years of leadership in learning and talent development, with expertise in learning strategy, digital learning, consulting, change management, simulation design, performance improvement and emerging technologies.

Venkat Subramanian, Director of Digital Learning, Bain & Company

Venkat Subramanian is the product owner for Springboard, Bain’s global learning platform. He has over 25 years of experience in learning technology and digital learning, with expertise in learning platform architecture, systems integration, large-scale platform migrations and learning analytics.