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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