Episoder
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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.
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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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Manglende episoder?
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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.--- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support -
Intro & Discussion on AI Career and Passion
00:00:00 - 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 AI
00:00:32 - 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 Community
00:02:10 - 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 & Challenges
00:04:12 - 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 Systems
00:12:47 - 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 Balance
00:22:49 - Erica talks about personal growth, balancing work with personal life, and the importance of hobbies and social connections.Outlook on AI and Future Technologies
00:34:14 - Erica's take on the current state of AI and speculation on future waves of technology innovation.Closing Remarks
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00:39:52 - Final thoughts and encouraging words from Erica.
00:40:03 - Outro and information on joining Women in Data. -
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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Scott Taylor, a principal consultant at MetaMeta Consulting, brings a wealth of experience and a unique perspective on the strategic importance of proper data management. Known for making data management concepts accessible and engaging, Scott has transformed the way businesses view their data, emphasizing the "strategic WHY" over the "technical HOW." In this episode, we'll explore how storytelling can bridge the gap between data and business strategy, the innovative use of data puppets to create fun and memorable content, and Scott's own journey in the data world. With accolades such as DataIQ 100 and CDO Magazine Leading Data Consultant, Scott's approach to data storytelling is not to be missed. Whether you're a data professional looking to inspire change within your organization or just curious about the power of data stories, this episode is packed with insights, tips, and tales from the forefront of data management.
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Amy Hodler is the Founder, Graph Evangelist, GraphGeeks
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Arynn is a solutions engineer, data advocate, and Industrial-Organizational Psychology practitioner. She has over 10 years of experience on both sides of data, as a practitioner across several industries and as a SaaS employee. Arynnbridges the gaps between people, processes, and data - a growing need as more companies adopt AI into their businesses. Reference Posts: https://www.shipyardapp.com/blog/why-does-data-orchestration-exist/
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Tune in for a rhythm-packed episode of Data Bytes Podcast, where we hit the high notes with Max Hilsdorf, a maestro in data science and a virtuoso in musicology, currently orchestrating success as a Data Science Consultant at Statworx. In this upbeat chat, Max conducts us through the electrifying world of AI in music, from remixing the creation process to auto-tuning the future of melodies. We'll riff on everything from AI's headline gigs in music genres to its backstage impact on composers and musicians. Max shares his own chart-topping journey of harmonizing data with do-re-mis, including encore-worthy projects and how he composes his work's score, balancing algorithms and arpeggios. As we crescendo into the future, Max forecasts the next big hits in AI music, ethical encores, and how AI might scout the next superstar from the garage band to the grand stage. So, plug in, turn up the volume, and let's jam to the future of music and AI with Max Hilsdorf—it's going to be a smash hit!
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We dive into the intricate world of data engineering with none other than Joe Reis, a celebrated figure in the tech education and data engineering arena. Joe, currently wearing multiple hats as an Instructor at DeepLearning.AI, CEO of Ternary Data, author with O'Reilly Media, and an adjunct professor at the University of Utah, brings a wealth of knowledge and experience to our table.
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In the latest episode of the Data Bytes Podcast, we had the pleasure of hosting Megan Lieu, a prominent figure in the data science community. Currently working at Deepnote and as an instructor at LinkedIn Learning, Megan brings a wealth of experience from her diverse roles in data science and analytics.
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Andy Cotgreave, Senior Data Evangelist at Tableau, sits down with us and talks about the future of dashboarding. We also chat about The Evolution of Tableau Dashboards and Data Communication and Storytelling in Tableau Dashboards. He has a wealth of experience and this episode is packed full of insights.
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Join us on the Data Bytes Podcast as we explore the dynamic world of tech ecosystems, innovation, and inclusive AI communities with Louis Stewart, Head of Strategic Initiatives, Developer Ecosystem at NVIDIA.
Discover the ingredients for successful tech ecosystems, the impact of government policies, and real-world examples of thriving tech hubs. Learn about fostering diversity and ethics in AI, and gain valuable advice from Louis Stewart's career journey.
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In this episode of the Data Bytes Podcast, we're joined by Yesenia Espinal, Associate Vice President for Data Analytics at Howard University. With her extensive background in data management and institutional research, Yesenia offers a unique perspective on the role of data analytics in higher education.
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We had the privilege of chatting with Stefanie Khan, the Director of Business Intelligence & Data Analytics at UPS, and a visiting professor at DeVry University. Here’s a quick rundown of what we covered:
A Journey Through Data Worlds.
Analytics Modernization at UPS.
Championing Women in Tech.
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In this insightful episode of Data Bytes, we sit down with Tracy Ring, a luminary in the intersection of AI and Life Sciences. Currently serving as the CDO and Global Generative AI lead in Life Sciences at Accenture, Tracy brings a wealth of experience from her previous roles at Deloitte, Capgemini, Walgreen's, Abbott Labs, and Kraft Foods. Her educational background from Harvard Business School and Miami University has laid a strong foundation for her exceptional career.
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In our latest episode of Data Bytes, we were honored to host Shinji Kim, a multifaceted leader in the technology industry and the Founder & CEO of Select Star. With a wealth of experience that spans multiple roles, from startup advising to product management, and academic backgrounds from renowned institutions like the University of Waterloo and Stanford University, Shinji is a wellspring of knowledge on data discovery and management.
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Are you curious about what distinguishes a Senior Data Analyst from a junior one? Or perhaps you're an aspiring SQL instructor looking for tips to deliver an effective learning experience? This episode is the treasure trove you've been waiting for!
We are thrilled to have Jess Ramos, a Senior Data Analyst at CrunchBase and a LinkedIn Learning Instructor, share her expertise and insights. With years of experience in the fast-paced corporate world, Jess reveals the nuances of a Senior Data Analyst's role and how they become linchpins in decision-making processes within their organizations. Learn how you can equip yourself with advanced skills and methodologies to maintain your relevance in this ever-evolving field.
But that's not all! Jess also delves into the art of teaching SQL effectively. From breaking down complex topics for beginners to staying current in a rapidly changing tech landscape, Jess provides a wealth of tips for educators aiming to foster a dynamic and comprehensive learning environment.
Don't miss this enlightening conversation that bridges the gap between data analysis and effective education in SQL. Tune in, get inspired, and level up your data game! 📊💡
About Jess:
Jess is a Senior Data Analyst at Crunchbase and an instructor with LinkedIn Learning. She has spent most of her career in the finance and tech industry working on SaaS products. Jess creates content on data, SQL, and tech careers on LinkedIn, Instagram, and TikTok and has a passion for sharing what she loves with her 110K+ followers. She wants to make data analytics accessible for all while also offering realistic expectations for what it's like in the field.
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