Effective Strategies for Data and AI Literacy

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.

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