The recent White House Executive Order on AI aims to enhance government efficiency and foster innovation, impacting sectors from healthcare to education. Experts like Prabhudev Konana emphasize embracing AI's potential, while Balaji Padmanabhan highlights the order's focus on improving services and mitigating risks. Academia, including programs at Smith, addresses AI's complexities and future implications.

Toilet paper is back on the shelves, but the COVID-era semiconductor shortage still lingers. Why is that, and when is it likely to end?

On September 23rd, CTADS hosted a visit by several members of the Intel analytics team: Shamin Shirodkar, Senior Director, Supply Chain Decision Solutions, Zhenying Zhao, Principal Engineer and Operations Research/Data Science Manager and Kalani Chieng, Business Operations Manager. Dr. Zhao, who was a post-doc at the Smith School from 2000 to 2005, delivered a presentation in Frank Auditorium for Smith School faculty and students.

Potential pitfalls of machine learning include bias and unequal benefits. In healthcare, these stakes are especially serious.

Being able to analyze data will not be the key to your success in the future. If you expect to have a viable career, you better get in touch with your emotions.

Equal pay for equal work is a simple notion, but surprisingly hard to implement without buy-in from upper management and quantitative tools for decision support.