Intro [00:00:00] Priscila discusses the importance of an accessible data infrastructure and data literacy. [00:00:41] Sadie: Introduction of Priscila Papazisis, her achievements and roles. [00:01:06] Sadie: Discussion on AI and data literacy strategies for organizations. [00:01:27] Priscila: Priscila responds about strategies for fostering data literacy in organizations. [00:02:03] Priscila: Importance of executive support in building a data-driven culture. [00:02:36] Priscila: Training programs for data literacy across various companies. [00:03:05] Priscila: Reiteration of the need for accessible data infrastructure. [00:03:42] Priscila: Emphasizes employee engagement with data for decision-making. [00:04:12] Priscila: Continuous improvement and promoting an environment for feedback. [00:04:36] Sadie: Challenges in providing and encouraging training in organizations. [00:05:07] Priscila: Finding time and interest for employee training in a busy schedule. [00:06:25] Priscila: Importance of understanding statistical concepts, data visualization, and AI in business. [00:07:39] Priscila: Critical thinking and application of AI and machine learning in business. [00:08:20] Priscila: Understanding industry trends and market dynamics. [00:08:50] Sadie: Priscila shares examples of business value from data literacy programs. [00:09:10] Priscila: Story about enhancing logistics in a health insurance company. [00:10:23] Priscila: The impact of data literacy programs she initiated. [00:11:16] Priscila: Operational improvements from data-driven decisions. [00:12:42] Priscila: Importance of practical results from data products. [00:13:19] Priscila: Engaging in continuous learning and leveraging data literacy. [00:14:10] Sadie: Discussing common pitfalls in implementing data and AI programs. [00:14:28] Priscila: Key challenges and advice for data and AI program implementation. [00:16:45] Sadie: Advice for individuals improving their data and AI literacy. [00:17:09] Priscila: Recommended resources and personal approaches to data literacy. [00:18:37] Priscila: Emphasis on data storytelling and problem-solving with data. [00:20:42] Sadie: The role of storytelling in data and AI. [00:21:11] Sadie: Priscila's journey into the data field. [00:22:10] Priscila: Career path and evolution in data roles. [00:23:16] Priscila: Contributions to the data community and networking. [00:25:36] Sadie: The value of community in data and AI. [00:26:27] Sadie: Final advice for women in data and AI careers. --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support