Pandora VP AI & Innovation On Omnichannel Excellence, Data Quality & AI Deployment | Shoptalk Europe

Omni Talk Retail

In this exclusive interview recorded live from the Walmart Commerce Technologies Studio at Shoptalk Europe, Baltazar Ozonek, VP of AI & Innovation at Pandora, the world's largest jewelry company, shares insights on unlocking the value of data and AI in an omnichannel retail environment.

With a focus on customer experience and brand alignment, Baltazar discusses the importance of data quality, AI deployment, and personalization across all channels.

Discover how Pandora is navigating the challenges of legacy tech and leveraging its vertically integrated supply chain as a competitive advantage. Baltazar also delves into the critical components of successful AI implementation, including data requirements, tech requirements, and people capabilities.

Learn about the significance of measuring incremental gains, avoiding diminishing returns, and ensuring true revenue uplift when deploying AI solutions. Baltazar emphasizes the need for a pragmatic approach that balances commercial opportunity with the complexity of AI models.



This podcast uses the following third-party services for analysis:

Podcorn - https://podcorn.com/privacy
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In this exclusive interview recorded live from the Walmart Commerce Technologies Studio at Shoptalk Europe, Baltazar Ozonek, VP of AI & Innovation at Pandora, the world's largest jewelry company, shares insights on unlocking the value of data and AI in an omnichannel retail environment.

With a focus on customer experience and brand alignment, Baltazar discusses the importance of data quality, AI deployment, and personalization across all channels.

Discover how Pandora is navigating the challenges of legacy tech and leveraging its vertically integrated supply chain as a competitive advantage. Baltazar also delves into the critical components of successful AI implementation, including data requirements, tech requirements, and people capabilities.

Learn about the significance of measuring incremental gains, avoiding diminishing returns, and ensuring true revenue uplift when deploying AI solutions. Baltazar emphasizes the need for a pragmatic approach that balances commercial opportunity with the complexity of AI models.



This podcast uses the following third-party services for analysis:

Podcorn - https://podcorn.com/privacy
2024-06-05 15 min
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