6 steps for leading successful data science teams
To support data science teams, start by pointing them toward the right problem.
To support data science teams, start by pointing them toward the right problem.
Researchers launched an in-house Data Science and Artificial Intelligence (DSAI) challenge to beat MIT’s machine-learning models for predicting clinical trial outcomes. The results are now available.
No more C-suite showdowns. Instead, here are four strategies to point your organization forward.
Better than mean variance? This approach to portfolio formation accounts for shocks like pandemics and “drifts” like climate change.
Dannielle Appelhans makes sure she’s a visible presence for women wanting a career in science and technology.
From gun safety to voting rights to climate action, CEOs from Levi Strauss and Unilever describe how they decide which social issues to back, and why.
Businesses are poised to see big productivity gains from artificial intelligence. Make sure you’re prepared.
With Browning the Green Space, Kerry Bowie deploys a passion for streamlined efficiency to promote equity and inclusion in clean energy.
Institutional investors like Goldman Sachs and Citigroup have pledged to invest in projects that tackle the climate crisis. Here’s how they’re doing it — and where challenges remain.
Research topics include analyzing firm behavior, data-driven sequential decision-making, inequality and worker power, and renewable energy integration.