CDO Matters Podcast

The podcast discusses top data predictions for 2024, including investments in AI data, software, and consulting, the potential decline of Chief Data Officers in the private sector, and the increasing demand for CDOs in the public sector. It also explores the concept of data product ownership and its value in data management, highlights the importance of fundamentals and driving value with AI, and explores the potential implications of AI's advancement in mathematics and encryption.

Malcolm welcomes Erik Zwiefel, CDAO of Microsoft Americas, on this live episode. Topics include AI readiness for CDOs, data governance and responsible AI, the future of technology and LLMs, leveraging tools for data quality, and understanding data lake house architecture.

This podcast explores the top data trends of 2023, including the growth of AI, the demise of the data mesh, and advancements in language-based deep learning models. It also discusses the importance of mindset in data quality, the future impact of ETFs, blockchain, and data valuation, and the significance of valuing and measuring data impact.

The podcast discusses the importance of creating a data culture within organizations and the challenges faced by data and analytics leaders. It explores the role of organizational culture and HR in fostering a data-driven culture. The relationship between data culture and intuition in decision-making is also explored. Additionally, the podcast highlights the need for data leaders to quantify business outcomes and model the impacts of decisions using AI and decision science.

Mark Stouse, Founder and CEO of Proof Analytics, discusses the frustration organizations face in realizing benefits from data management investments. He highlights the need for CDOs to prioritize specific business needs and outcomes. The podcast covers challenges of operationalizing analytics, the value of automation and targeted AI, establishing causality in predictive analytics, and the current state of data science functions.

In this episode, Dan Everett, an expert in understanding and navigating change, discusses the challenges of driving change as a new data leader. He shares strategies for fostering fairness and engaging employees, explores the influence of culture on organizational behavior, and emphasizes the importance of questioning ingrained behaviors.

Wendy Turner-Williams, former CDO of Tableau and VP of Data Strategy for Salesforce, discusses her vision for The Association: a community of data practitioners dedicated to overcoming challenges. They also explore topics such as Salesforce's V2 Mom process, the growth & impact of AI, challenges faced by CDOs, collaboration with cyber teams, and creating peer-to-peer standards & data sharing.

Veronika Durgin, VP of Data with Saks, shares insights on applying the '30% rule' to learn the language of business. They discuss centralization benefits, the obsession with decentralization, and the importance of a common language in data management.

The podcast explores the need for modern data leadership in a world of constant change. It discusses challenges faced by data leaders, the importance of prioritizing customers, and shifting focus from data quality to business value.

Joe Reis, co-author of the bestselling O'Reilly book, 'Fundamentals of Data Engineering', discusses the importance of understanding and managing data engineers effectively. They also talk about the challenges and strategies for bridging the gap between development and data teams, as well as the future of models in data engineering and the significance of having a clear data strategy.