.jpg?format=auto&onerror=redirect&width=300)
United States
For a long time I thought I was purely "a creative type." I couldn't be bothered with combustion engines, and I wasn't interested in classical mechanics - but I loved the math underlying it all.
It took me years (and several rereads of Zen and the Art of Motorcycle Maintenance), but I realized that my delight in abstraction wasn't in conflict with the world of material objects. My appreciation for math was aesthetic. Elegant systems are beautiful and deserving of attention, whether theoretical or at work in a device in your pocket. So I went to work in technology, and I became a writer.
I'm always on the hunt for the awe experience triggered by big ideas. To that end, I've been a product manager in the aerospace industry. I've consulted in marketing for many startups, and I've been honored as a "Woman Leading the AI Industry." I've done psychology research at the University of New Mexico, and I've recently begun pre-Master's coursework in CS with the goal of specializing in computational ecology.
If you want to talk about a complex subject and you're looking for an enthusiastic translator, please contact me at [email protected].
How are PMs handling the landscape amid COVID-19? We surveyed 60+ tech PMs from all industries, levels of experience, and regions of the world to find out exactly what's changed, and we've got some solid advice to help you adjust to the new normal.
I think AI has a serious image issue. There's the robot apocalypse thing, but it also looks really intimidating and inhuman from the outside. But the best in the AI industry never forget that all fancy tech HAS to be about people at the end of the day.
GDPR is an emotional acronym. It's polarizing. First hailed as "the end to the free-for-all internet as we know it," it was supposed to allow customers to take back their data from the clutches of big tech boogeymen. But a little over a year in, users browse the web as they always did.
In the wake of Facebook's Cambridge Analytica scandal and congressional hearings, there's a palpable sense that the pressure slowly building around online data security is about to finally catapult us into uncharted territory. The issues aren't new - Facebook has been a trailblazer in social media tech, but lack of transparency and misuse of user ...
A perfect storm is brewing in pharma M&A. Reduced R&D productivity, comparative advantages of large pharma companies, and the Trump Administration's tax cuts make M&A more attractive than usual for an already acquisitive industry. To navigate these waters, pharma giants must embrace new AI tools to get the job done right.
Enterprise search has been stuck in the 1990s for two decades now. It's hard to believe search hasn't kept pace with the explosion of data. The two must go hand in hand. Yet many of us go to work every day at big companies with complex knowledge management systems and fat IT budgets.
In 2012, an HBR article named Data Scientist the sexiest job of the 21st century. The same article defines the role as a "hybrid of data hacker, analyst, communicator, and trusted adviser. The combination is extremely powerful-and rare." These rare birds are in high demand.