@engineering_bae They let me own a piece of it! It’s a diff model than most consultancies — equity isn’t held out as a “someday” benefit for those lucky enough to make partner. Instead, everyone who contributes to the biz can buy in. I was happily surprised how much that changes the atmosphere
Women face impossible standards while pursuing leadership. We need to challenge organizations to confront sexist double binds and double standards in order to better support women's workplace advancement. https://t.co/636dAcqYXI
YC in 2024 is just going to be a series of email battles between founder and VC chatbots about whether they can meet before Demo Day
Let the best AI win!
No matter how high you climb or how much you earn, if you aren't proud of how you got there, you haven't succeeded.
Status is a reward for the result. Character is revealed by the process.
The most meaningful accomplishments lie on the path that aligns with your principles.
Carol Austensen, Managing Director of SEI Atlanta, was recently featured in @FortuneMagazine and @Forbes! Check out her article and learn all about our unique employee-owned firm and why we’ve been able to grow to a team of over 450 consultants: https://t.co/giV2eOi3Ro
6/ A first step towards accountability is a process for new features, which I call the Analytics Requirements Document (ARD). Similar to a PRD, it outlines data requirements for new launches. I've mentioned it before, but it deserves its own post.
https://t.co/sNmc1NMo8k
Time Spent With Coworkers
Steady during the prime working years from age 20-60.
Key Lessons:
• You'll spend a lot of time at work.
• Who you choose to work with is one of the most important decisions you'll make.
Find work—and coworkers—that create energy in your life.
AI journalism has a hype problem. To move past the cycle of reacting to each story, @sayashk and I analyzed over 50 pieces from 5 prominent outlets. We've compiled a list of recurring pitfalls that readers should watch out for and journalists should avoid. https://t.co/uHFUpHMZ6U
@KLdivergence Love it! I feel like this show would benefit from having some past #Tableau#IronViz finalists helping to break down the data https://t.co/niyKUaZTHR
#IronViz - Tableau announced the Iron Viz topic a few weeks back, “what brings joy”. Wait...Iron Viz brings me joy! How about an Iron Viz about Iron Viz? So I’ll make it official, here is my 2021 Iron Viz entry - The History of Iron Viz! https://t.co/vNqtGltfX9
@ahc Nice to have reminders like this on Twitter (welcome back from your break, @ahc !), perhaps ironic that I wished wisdom like this would “go viral” on this platform?
Diversity is smarter than homogeneity.
New data on 6.6 million science papers in all 45 subfields of medicine: mixed-gender teams generate more novel and influential work than same-gender teams.
Similarity breeds groupthink. Variety fuels deeper reflection and broader learning.
From possibility to power.
The art of a successful social movement, according to expert @HahrieHan of @JohnsHopkins@SchwabFound
https://t.co/dJjvbhoA7y
If you have less than 3 hours to spare & want to learn (almost) everything about state-of-the-art explainable ML, this thread is for you! Below, I am sharing info about 4 of our recent tutorials on explainability presented at NeurIPS, AAAI, FAccT, and CHIL conferences. [1/n]
if you'd benefit from shoulder-surfing an experienced #DataViz designer as they explore a data set...@VizWizBI has a goldmine for you https://t.co/HCiyRzda6q
When someone doesn't buy your idea, remember this: you might not either if you weren't selling it.
Data: 57% of people rejected their own argument when they thought it was someone else's.
Critical thinking is holding yourself to the same reasoning standards as you hold others.
Happy International Women’s Day! This is a day for taking action and raising awareness. Visit the International Women’s Day website to find out more about gender bias. #BreakTheBias
https://t.co/eEv47BareY
@alexkyllo Agreed! Product managers are often reinventing the wheel with every new product. Some of it may be necessary since “north star” metrics shift depending on the business model, but at least have some honest takes on what approaches work and don’t for specific strategies, etc
Feel like your #DataAnalytics team is missing the mark balancing #agility and #selfservice at scale? We've been exploring better approaches -- and concepts from #explainability in Artificial Intelligence #XAI are at the center. I was recently interviewed by my firm on this topic