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Leading Enterprise Data Teams // Sol Rashidi // #227

Apr 26, 2024
Sol Rashidi, an esteemed executive in AI and Data, discusses the importance of prioritizing relationships, a 'Wrong Use Cases Formula' for project prioritization, and effective communication in data leadership. She shares insights on balancing criticality and complexity in project prioritization, evaluating team skills, navigating data complexity, adapting to change in company culture, and upcoming AI quality conference.
42:59

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • When selecting AI use cases, consider complexity and criticality alongside business value for strategic project prioritization.
  • Building successful data teams involves understanding team dynamics, individual strengths, and fostering relationships with team members and stakeholders for credibility and transformation.

Deep dives

Prioritizing Complexity and Criticality Over Business Value in Use Case Selection

When selecting use cases for AI implementation, focusing solely on business value can be limiting. The speaker emphasizes the importance of considering both complexity and criticality. By assessing the complexity of deployment, availability of necessary resources, and criticality to the business, a more strategic and effective use case selection process can be established. This approach helps in prioritizing projects that are both manageable and critical for the organization.

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