AI Transformation in 2025-Speed, Innovation and Solving long-term Value

The discussion on AI transformation in 2025 emphasized a balanced approach between speed and precision, particularly in product development. Companies are leveraging AI for various applications, from customer service chatbots to complex algorithms for developmental milestones. Successes include using AI for breathing monitoring in infants and enhancing customer satisfaction through personalized interactions. Failures, such as inaccurate digital twin technology, highlighted the importance of thorough validation and external partnerships. The conversation also touched on the cultural impact of AI, the need for internal AI literacy, and the challenges of measuring AI’s long-term value.

Action Items

  • [ ] Launch AI-generated marketing campaign at upcoming industry event.
  • [ ] Expand the AI “team member” initiative to create additional AI agents for the marketing team.
  • [ ] Evaluate opportunities to overlay AI into existing programs to drive efficiency and free up employee time.

Outline

AI Transformation Strategy and Product Development

  • Speaker 1 discusses the crawl, walk, run approach to building new products, emphasizing the need to move quickly for vanilla products like customer service chatbots and more slowly for complex algorithms like those for developmental milestones.
  • The company has a strategy of building proof of concepts in-house, validating them with beta users, and then slowly rolling them out to users once they pass initial gates.
  • Speaker 1 highlights the importance of brand trust, especially with audio-visual data involving children, and the need for high accuracy and security.
  • Speaker 2 acknowledges the non-one-size-fits-all approach and asks for examples of AI leading to competitive advantages.

Successes and Failures in AI Implementation

  • Speaker 3 shares a failure in using digital twins for customer insights, where the accuracy rates from third-party providers did not meet expectations, leading to abandoning the project.
  • A success story involves using AI to improve customer experience in a regulated environment, resulting in higher customer satisfaction and superior agent conversations.
  • Speaker 3 emphasizes the importance of conducting multiple experiments to determine where to focus resources and developing internal AI literacy.
  • Speaker 2 transitions to discussing learning from both successes and failures, inviting another panelist to share a success story.

Leveraging AI for Breathing Monitoring

  • Speaker 1 shares a success story about developing a fabric fan for breathing monitoring for young children, leveraging existing AI and computer vision capabilities.
  • The product was brought to market quickly due to the company’s existing data, framework, and team familiarity with building algorithms.
  • Speaker 2 mentions the importance of data readiness and asks about failures.
  • Speaker 4 discusses the importance of failing fast and learning from mistakes, particularly in the marketing and advertising domains.

Measuring AI Transformation and Organizational Challenges

  • Speaker 2 asks about measuring AI transformation, and Speaker 3 explains the focus on long-term impact and framing the right problems for generative AI.
  • Speaker 5 acknowledges the focus on problem identification rather than immediate measurement.
  • Speaker 2 shifts the discussion to internal dynamics and organizational challenges in aligning with AI.
  • Speaker 1 talks about the evolving mission of the company and ensuring the team understands the role of AI in achieving that mission.

Internal Fear and Marketing Strategies

  • Speaker 2 asks about tackling internal fear around AI’s impact on jobs, and Speaker 4 addresses the common trepidation in marketing.
  • Speaker 4 emphasizes AI as an enablement tool that frees up time for creative work and reduces administrative burdens.
  • Speaker 2 invites Janelle to discuss leveraging AI beyond customer insights, and Speaker 3 shares a success story about using ChatGPT for creative campaigns.
  • Speaker 4 shares an example of using AI to enhance an existing program, highlighting the importance of celebrating short-term successes to reduce fear.

Audience Questions and Final Thoughts

  • Speaker 6 asks about the necessity for protocols to mitigate liabilities and the impact on smaller operations.
  • Speaker 4 and Speaker 3 discuss the challenges and opportunities for smaller organizations in leveraging AI while ensuring compliance.
  • Speaker 3 reflects on the progress made in AI literacy and the importance of taking time to build a solid foundation.
  • Speaker 2 concludes the session, emphasizing the importance of readiness and the need to move slowly to move fast, and thanks the panelists for their insights.