Beyond The Generative AI Hype: Why Culture And Data Are The True Game-Changers In 2025
Feb 4, 2025
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Tom Godden, an Enterprise Strategist and CXO Advisor at AWS, dives into the core elements that make generative AI truly effective. He argues for transforming Centers of Excellence into Centers of Engagement to foster innovation. The conversation emphasizes the necessity of breaking down data silos and cultivating a data-sharing culture. Godden also highlights the human factors in AI adoption, including the vital role of data champions, and explores emerging technologies like digital twins and quantum computing.
Transitioning from Centers of Excellence to Centers of Engagement empowers employees to experiment and share insights, fostering innovation.
Breaking down data silos and nurturing a culture of data sharing enhances collaboration, unlocking new opportunities for generative AI implementation.
Deep dives
Transforming Innovation Mindsets
Organizations are shifting from a perfectionist approach to a more experimental mindset when it comes to technology implementation. Instead of waiting to perfect an initiative before launching, companies are embracing iterative experimentation, which allows for real-time learning and adaptation. This new perspective redefines the concept of a Center of Excellence (COE) to a Center of Engagement, where all employees are empowered to contribute, test, and share their findings. Emphasizing collaboration over strict hierarchies fosters a culture of innovation that can drive meaningful technological advancements.
Data Sharing as a Competitive Advantage
The traditional mentality of hoarding valuable data is becoming obsolete as organizations recognize the strategic advantage of data sharing. Companies that encourage open communication and collaboration between departments can unlock new opportunities and improve competitive positioning. For example, a financial services firm has initiated 'data discovery days' to facilitate cross-departmental interactions, leading to unexpected collaborations and innovative use cases. This shift emphasizes the importance of breaking down silos and creating a culture where sharing data is not just encouraged but seen as essential.
Evolving Data Strategies for Generative AI
Many Chief Data Officers struggle to evolve data strategies to support generative AI due to entrenched legacy systems and cultural resistance to change. Despite a clear understanding of the importance of data quality for generative AI, a significant portion have yet to implement necessary adjustments, creating a paradox where investment decisions are stalled. Leaders can address these issues by fostering a shift from data ownership to data stewardship, promoting an easy-to-use self-service data platform, and nurturing data champions within their organizations. By prioritizing a culture of experimentation and understanding what 'good data' looks like, organizations can position themselves to fully leverage the potential of generative AI.
If you want to move beyond the AI hype and understand what truly drives success with generative AI, this conversation will give you the practical insights you need.
🎯 I'm joined by Tom Godden, Enterprise Strategist and CXO Advisor at AWS, to explore crucial topics including:
🔄 why we need to reimagine Centers of Excellence as Centers of Engagement, 📊 how to break down data silos and create a data-sharing culture, 🎯 what makes data "good" for generative AI, 🤝 the human side of AI adoption including the role of data champions, and 🔮 emerging trends like the convergence of IoT, edge computing, and digital twins.
For more insights on technology transformation and culture, follow Tom Godden on LinkedIn, where he regularly shares his perspectives as a top voice in the field.
Thank you #AWS for partnering with me on this episode. #Sponsored
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