Undergrad Duo Places First at KPMG Case Competition
During TechFest 2021, undergraduate students from the University of Maryland’s Robert H. Smith School of Business took home top honors in the KPMG Excel Competition. Hosted by the Department of Decision, Operations and Information Technologies, the competition was open to all UMD students.
At TechFest, Exploring Cybersecurity and Data Privacy
At Maryland Smith’s annual TechFest, speaker Jesse Hwang opened his presentation with a warning. “The COVID-19 crisis has forced banks and their customers to use digital tools and processes to compensate for branch, office and call center closures,” said Hwang, a senior manager of cyber technical at Capital One. “This embarking on a cloud and digital transformation journey makes banks lucrative targets for cyber-criminals, who treated the pandemic as a once-in-a-lifetime gold rush.”
Bjarnadóttir Earns Best White Paper Award
New research from Maryland Smith’s Margrét Bjarnadóttir that asks how organizations can leverage AI to build a more equitable workforce has been named the Best White Paper in the 2021 Wharton Analytics Conference.
Students Invited to TechFest
Maryland Smith’s Department of Decision, Operations & Information Technologies is getting ready for TechFest. The annual forum brings together industry leaders who are at the forefront of addressing cybersecurity and privacy issues using modern tools. This year’s industry speakers will include Jesse Hwang, a senior manager of cyber technical in the financial sector, and Lahar Mishra, MS ’19, a technical risk management analyst at Verizon Media.
Cars Are About to Cost a Lot More. Here's Why.
Welcome to the age of the empty car lot. The auto industry is experiencing a huge disruption with computer chips in scarce supply.
The Chip Shortage Isn't Ending Anytime Soon
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?
Can AI Help Create More Equitable Workplaces?
Can we partner with artificial intelligence and machine learning tools to build a more equitable workforce? New research may offer a way.
The Ugly Side of Beauty AI
The pitfalls to AI-driven beauty scoring begin with the premise that beauty is in the eye of the beholder.