Sharing a new study I contributed to on the outlook for women in data, analytics, and AI, along with my thoughts on why expanding the talent pipeline is crucial for building a more inclusive future in these fields.
Sharing a new study I contributed to on the outlook for women in data, analytics, and AI, along with my thoughts on why expanding the talent pipeline is crucial for building a more inclusive future in these fields.
Discussing why AI governance is more than just an extension of data governance and how we can use lessons learned from past data management challenges to navigate the future of AI more reasonably.
Data Mishaps Night is a night where we embrace the messiness of data work. Whether you're a seasoned data practitioner or just starting out, there's something for everyone.
Exploring the new AI term LAMs (Large Action Models). What it means and how it relates to LLMs and AI agents.
How making and sharing mistakes can supercharge your growth
A brief review of the book “Chart Spark” by Alli Torban
A brief review of the book “Prediction Machines” by Ajay Agrawal, Joshua Gans and Avi Goldfarb
Sharing my love letter to data which I penned as part of the Pythian “Love Letters to Data” series.
My family entry into the “Dear Nightingale” analogue data creation challenge. Using puppy olympic competition data for our personal dataset and clay to make a 3D dataviz.
An overview of my Chief Data Officer certificate experience at Carnegie Mellon.
How to navigate your career when your compass feels broken
Learn how to create your own virtual data art gallery.
FunDataFriday featuring AI Inclusive. AI Inclusive is a community with the mission of increasing representation and participation of gender minority groups in artificial intelligence.
Discussing the book “Big Data Girl” by Fred Wordie and Santiago Taberna and how to use it to raise Big Data awareness in a classroom setting.
The Women in Analytics Conference has opened their 2022 call for speakers. Find out what it’s like to be a speaker at this conference and how to apply!
Quickly and easily perform exploratory data analysis (EDA) on your individual data set or compare datasets in R with the Inspectdf function!
A list of 10 kid-friendly datasets to explore with for your next stem data project!