CDO Matters Ep. 51 | Data Leadership and Next Gen Data Teams
May 30, 2024
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Jordan Morrow, a data and analytics expert, discusses the evolving roles in data teams for success in an AI-driven world. They cover topics like AI literacy, AI governance, CDO challenges, balancing data foundations, measuring data product usage, and embracing probabilistic thinking.
Importance of AI literacy in modern life for ethical use and understanding of AI tools.
Challenges of defining and implementing AI governance to address ethical and regulatory aspects.
Evolution of data team structure with new roles like lead evangelists and product managers for value delivery.
Deep dives
Shift to Include AI in Data Literacy Book
Discusses the decision to update a book on data literacy to include artificial intelligence (AI) content in a second edition. It highlights the process of revisiting chapters, adding new content, and launching the updated version. The shift towards integrating AI into data literacy reflects the growing importance and impact of AI in various industries.
Importance of AI Literacy and Effective Utilization
Emphasizes the significance of AI literacy in modern life and the need for individuals to understand how AI works, its impacts, and its ethical use. The discussion focuses on the effective and ethical utilization of AI tools, prompting users to have a sound understanding and ability to evaluate and apply AI in their personal and professional lives.
Challenges and Opportunities in AI Governance
Explores the concept of AI governance and the need to understand and define this evolving area. The conversation delves into the challenges of defining AI governance, the pace of AI advancements, and the necessity to address the ethical and regulatory aspects of AI implementation. There is an emphasis on the importance of proactively exploring and defining AI governance.
Leadership and Adaptive Strategy in Data and AI
Discusses the evolving role of leadership in data and AI, highlighting the importance of being adaptive and forward-thinking. It emphasizes the need for leaders to proactively adapt to changes, focus on business success, and prioritize continuous learning and development. The conversation touches on the challenges and opportunities in developing authentic leadership qualities in the context of data and AI.
Product-Oriented Approach to Data Analytics
Shifts the focus towards a product-driven approach in data analytics, advocating for a mindset that measures the usability and value of data products. It underlines the significance of continuous evaluation, adaptation, and value-driven decision-making in data analytics. The discussion highlights the importance of aligning data products with business needs and fostering a culture of iterative improvement and value delivery.
Next-Gen Data Team Structure and Roles
Explores the concept of a next-generation data team structure, emphasizing the need for new roles like lead evangelists, value engineers, product managers, and evaluators. The discussion revolves around creating a dynamic and adaptive team that focuses on value delivery, strategy alignment, and proactive change management. It advocates for a holistic approach to data leadership, encompassing a blend of technical expertise, strategic vision, and customer-centric mindset.
Jordan Morrow is a visionary thought leader and prolific author in the world of data and analytics, and on Episode #51 of the CDO Matters Podcast, he joins Malcolm to discuss data leadership and building a ‘next gen’ data team.
In this engaging and provocative discussion, Jordan and Malcolm discuss the most important roles and responsibilities that are today missing on most data teams but are increasingly critical to succeed in an AI-driven world of constant change and disruption.
