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In MKTG 4604: Creating Business Value with Data and AI Technologies, students explore the power of marketing by combining machine learning and AI with strategic business insights.
Faculty explore how Essaybot, built on the DASH_box, can streamline grading, improve feedback, and shape AI-assisted learning.
Debashish Ghose uses DASH_Box to overcome hardware bottlenecks and accelerate large-scale data analysis of Kickstarter project trends.
Professor Guohou Shan uses DASH_Box to power large-scale AI models, accelerate discovery, and build real-world applications in information security.
Professor Chris Riedl leverages DASH_Box to power breakthrough research in AI, workforce studies, and network modeling—securely and at speed.
In 2024, D'Amore-McKim professor Shawn Bhimani helped launch Supply Trace, which uses machine learning to comb through millions of data points including news clippings, container labels and shipping documents.
AI doesn't have to be expensive for small and mid-sized businesses. By building strong Human-AI teams, designing processes that enhance collaboration, and fostering continuous feedback loops, companies can leverage AI to improve decision-making, customer service, and adaptability—without the hefty price tag.
Offered at no cost to current D'Amore-McKim undergraduates (including combined majors and minors), the new module also provides students with a digital badge that signals to employers their readiness to apply cutting-edge AI tools in business.
Professors Bruce Clark and Barbara Larson led an insightful exploration into the use of AI in the classroom.
