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DataFramed

#153 From Data Literacy to AI Literacy with Cindi Howson, Chief Data Strategy Officer at ThoughtSpot

Sep 4, 2023
Cindi Howson, Chief Data Strategy Officer at ThoughtSpot and a renowned expert in data analytics, discusses the rise of data and AI literacy in organizations. She emphasizes the cultural shift needed to embrace generative AI, highlighting its profound impact on job roles and the importance of bridging business needs with technology. Cindi explains how AI literacy complements data literacy and reveals how generative AI can enhance data accessibility, transforming data management and empowering a new generation of data professionals.
39:19

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Generative AI tools accelerate data literacy by making data more understandable and accessible through generating questions, providing explanations of visualizations, and offering in-app assistance.
  • AI literacy is crucial for organizations adopting generative AI, as it extends data literacy by enabling individuals to understand and interpret AI-generated outputs, including biases, limitations, and the need for human oversight.

Deep dives

The impact of generative AI on data literacy

Generative AI is changing the way organizations and individuals interact with data, accelerating data literacy. It allows for more approachable data exploration by generating questions based on data and popular queries. Additionally, it provides descriptions and explanations of data visualizations, making data more understandable and accessible. Generative AI also supports in-app support and assistance, helping users with their data-related needs. By utilizing generative AI, organizations can empower their data teams to focus on harder problems, such as predictive and prescriptive analytics, and enhance data storytelling skills. With generative AI tools, data analysts can do more with less, focusing on interpreting insights and effectively communicating data-driven findings.

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