Data Bytes Women in Data

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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[00:00:00] - Ania discusses her approach to energy use and following curiosity without questioning its practicality.

[00:00:34] - Introduction of Ania Cwojdzinska as a vibrant member of the Women in Data community, mentioning her background and achievements.

[00:01:24] - Sadie asks Ania about the intersection of data science and psychology and how Ania incorporates both in her work.

[00:03:02] - Ania shares her journey into data science during her PhD, highlighting the benefits of interdisciplinary approaches.

[00:04:52] - Discussion on the rigors of academic research and its relevance to data careers.

[00:05:47] - Ania talks about her surprise at the continued use of Excel in industry and the transition from academia to industry.

[00:08:05] - Sadie inquires if Ania has started using Excel in her industry work.

[00:08:27] - Exploring Ania's growth mindset and whether it was innate or developed over time.

[00:10:46] - Ania discusses leading the growth group for Women in Data and the various activities and workshops they conduct.

[00:13:35] - The unique aspects of the Women in Data growth group and its contribution to the community.

[00:14:42] - The inclusivity and openness of the Women in Data community.

[00:15:33] - Ania reflects on her advice for women in data careers, emphasizing self-awareness and the blend of personal interests with professional skills.

[00:20:16] - Sadie thanks Ania for her mentorship and contributions to the community.

[00:20:45] - Ania shares her most proud accomplishments: fostering lifelong friendships and achieving self-contentment.

[00:24:31] - Sadie and Ania discuss redefining success and the importance of being comfortable and happy with oneself.


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Discussion on AI in Business


[00:01:00] Sadie introduces the main conversation topics.
[00:01:20] Cal shares his anticipation for future meetups.
[00:01:26] Discussion on the rapid developments in AI.
[00:02:03] Key indicators companies overlook when identifying AI opportunities.


[00:02:28] Cal elaborates on challenges and solutions in AI opportunity realization and measurement.
[00:03:41] Approaches to mapping out the value of AI projects.


[00:04:53] Sadie questions the average time to see benefits from AI implementation.
[00:05:52] Cal discusses AI implementation timelines and the importance of build vs. buy decisions.


[00:08:20] Discussion on successful integration of AI into workflows and overcoming adoption barriers.
[00:09:23] The role of AI literacy in preventing unintended consequences.


[00:13:08] Conversation shifts to responsible AI and baseline principles for ethical considerations.
[00:14:16] Cal emphasizes the comprehensive nature of responsible AI beyond ethics.


[00:20:33] Cal shares his journey to founding Panda Data and its acquisition.
[00:24:52] Discussion on navigating the challenges in highly regulated industries.
[00:27:41] Cal's personal motivations and overcoming obstacles.
[00:32:09] What's next for Cal at Further and the vision for AI auditing practice.


[00:36:14] Cal shares his personal goal of visiting 100 countries and its relevance to understanding AI and data science.




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Intro & Discussion on AI Career and Passion00:00:00 - Introduction and advice on pursuing AI as a career.00:00:17 - The importance of passion and intellectual rigor in AI.

Erica's Background & Journey into AI00:00:32 - Introduction to Erica Luna Lee: her background in tech and founding Women of AI.00:01:16 - Erica's entry into the AI space and her journey from research to tech leadership.

Moving to Silicon Valley & Building a Community00:02:10 - Erica's move to Silicon Valley and the importance of community in career development.00:03:09 - The unique ecosystem of Silicon Valley for technology and innovation.

Career Advancement & Challenges00:04:12 - Insights on career advancement and the significance of choosing the right manager.00:09:06 - Discussing the challenges for women in leadership roles and how to navigate them.

The Importance of Support Systems00:12:47 - The critical role of support systems for female executives and founders.00:16:51 - Erica shares advice for female founders and the importance of having a supportive network.

Personal Growth & Finding Balance00:22:49 - Erica talks about personal growth, balancing work with personal life, and the importance of hobbies and social connections.

Outlook on AI and Future Technologies00:34:14 - Erica's take on the current state of AI and speculation on future waves of technology innovation.

Closing Remarks00:39:52 - Final thoughts and encouraging words from Erica.00:40:03 - Outro and information on joining Women in Data.


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Dive into the world of Machine Learning Operations (MLOps) with the remarkably insightful Maria Vechtomova. She is an MLOps Tech Lead at Ahold Delhaize and Co-Founder of Marvelous MLOps.

TimeStamps:


00:00:00 - Introduction to the episode with Maria Vechtomova.
00:00:32 - Sadie introduces Maria Vechtomova and her career.
00:01:06 - Maria expresses her appreciation for the DataBytes podcast.
00:02:06 - Conversation about past experiences with piano lessons.
00:03:12 - Maria's transition from economics to data and MLOps.
00:04:31 - The impact of having inspiring colleagues.
00:06:07 - Discussion on the value of freedom and management styles in Maria's career.
00:07:14 - Maria talks about the founding of Marvelous MLOps.
00:09:09 - The impact of publishing articles and LinkedIn engagement.
00:10:39 - How the field of MLOps has evolved over the years.
00:14:10 - The state of MLOps practices in the industry.
00:16:27 - Advice for data scientists on best practices for MLOps collaboration.
00:18:19 - Ideal handoff models between data engineering, data science, and MLOps teams.
00:20:58 - Describing a typical week for an MLOps engineer.
00:24:21 - How to balance leadership and technical knowledge.
00:26:26 - Discussing the representation of women in MLOps and tech.
00:29:51 - Conclusion and thanks to Maria and listeners.
00:30:05 - Outro with an advertisement for Women in Data community memberships.



Join Women in Data as a Member: https://womenindata.mn.co/plans/389742?bundle_token=786e315f336334cfdfd416404db1fbf5&utm_source=manual




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As the Founder and Host of "The Ravit Show,"  @theravitshow  Head Community Evangelist, and a Gartner Ambassador, Ravit has cultivated a unique perspective on the importance of community in the tech world. In this episode, we delve into why community is at the heart of everything Ravit does, exploring the passion that ignited his love for building connections and the invaluable lessons he's learned along the way. Ravit will also share his top tips for those looking to foster their own communities and brands. Additionally, we'll tap into Ravit's vast experience speaking with leading minds in Data & AI to uncover the latest trends and innovations shaping our future. Finally, Ravit opens up about his personal journey, revealing how his childhood has influenced his career path and philosophy. Don't miss this opportunity to gain insights from a true community builder and innovator in the field of data and AI.




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Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support