Their presentation emphasized that while the internet transformed how people access and share information, artificial intelligence represents a fundamentally different shift. As outlined in their research, the internet scaled access to information and connectivity, but humans remained the primary decision-makers. In contrast, AI increasingly generates, revises, and even acts on decisions within systems, signaling a shift in where judgment and authority reside . This distinction sparked meaningful discussion among attendees, encouraging participants to rethink how AI will shape organizations, leadership, and accountability in the years ahead.

The session drew strong engagement from faculty, students, and staff across the university, leading to a lively exchange of ideas during the Q&A portion. Attendees were particularly interested in the broader implications of AI’s role in decision-making, including how it may reshape industries, redefine professional roles, and influence the future of digital ecosystems.

Throughout the visit, students engaged with leading organizations including IBM, Volkswagen Group, Bloomberg Industry Group, PTC, Ashoka, and HomeFix. Industry professionals shared how analytics and generative AI are being leveraged to drive strategic decision-making, optimize operations, and create meaningful social impact. At IBM’s Innovation Studio, students explored how AI and agent-based systems are transforming business performance, while sessions at Ashoka highlighted the role of data in advancing global social entrepreneurship initiatives. At Volkswagen Group, students gained insight into AI applications in manufacturing and the increasing use of low-code platforms to streamline data workflows.

A standout moment of the experience came during a visit to HomeFix, where students participated in a real-world analytics challenge using actual CRM data. Working in teams, they developed predictive models and delivered concise five-minute presentations, simulating the fast-paced, results-driven environment of modern analytics roles. Additional visits, including Bloomberg Industry Group and PTC, provided exposure to how data powers industries ranging from government and finance to technology, while also offering valuable career insights and networking opportunities. 

The panel featured alumni Bhoomika Kapoor, Data Engineer at Tesla, and Rob Testa, Demand Generation Manager for Samsung SDS, who shared their career journeys and perspectives on how data-driven decision-making is transforming industries. Moderated by Dr. Marina Johnson, Associate Professor in the Information Management and Business Analytics department, the discussion provided practical takeaways for students on developing analytical skills, adapting to change, and navigating career opportunities in the evolving digital landscape.The evening concluded with a networking session connecting students to professionals.

Dr. Kibis emphasized the importance of aligning card choice with personal financial goals, whether minimizing interest, maximizing rewards, or reducing fees, and explained how features like foreign transaction charges, introductory bonuses, and purchase protections factor into decision-making.

During the conversation, they discussed the role of artificial intelligence in higher education, how online programs are supporting working professionals, and the importance of leadership and lifelong learning.

According to Dr. Kibis, most people do not have the best credit card for their needs. While there is no exact figure, studies suggest many are financially unhealthy, with over half carrying debt. Very few—possibly under 1%—actively optimize their credit card use. To choose the right card, individuals should consider their credit score and financial goals (e.g., rewards, low interest, travel benefits). Credit card terms often reflect economic conditions, with higher rates and complex rewards signaling caution from lenders. While avoiding credit cards can be wise for some, responsible use can offer key benefits like credit building and fraud protection.

The STEM-designated MS in Business Analytics program prepares students for careers in the data-driven world of modern business with a rich, relevant curriculum taught by expert faculty with firsthand knowledge of industry practices.  The program includes experiential learning opportunities delivered through an embedded practicum course and interaction with a network of experts  and employers. Program participants strategically apply analytics to real business issues, examining  causes, developing actionable recommendations, and effectively communicating results. Graduates emerge with the ability to use data to assess and address complex problems from multiple perspectives, making them key strategic assets for any business.

TechGuide offers actionable insights to help readers make data-driven decisions about the best tech-focused educational and career opportunities. From medicine to entertainment, and from classrooms to stadiums, technology is transforming how we live, connect, and work — including where we work.

]]> /business/2025/06/30/feliciano-school-of-business-earns-recognition-for-business-analytics-degree-value/feed/ 0 /business/wp-content/uploads/sites/263/2024/08/investing-300x200.jpg /business/2025/04/08/david-vincenti-shares-real-world-strategies-in-harvard-series/ /business/2025/04/08/david-vincenti-shares-real-world-strategies-in-harvard-series/#respond Tue, 08 Apr 2025 14:57:35 +0000 /business/?p=3930 Feliciano School of Business Adjunct Professor (Department of Information and Business Analytics) David Vincenti, recently led a webinar series for the Harvard University Clinical and Translational Science Center titled .

David Vincenti is a seasoned project manager and engineer with over 30 years of experience in the medical device industry. His career includes leading projects in technology development, global business integration, and organizational redesign. Vincenti has been recognized for his leadership and mentorship, particularly in guiding early-career technical professionals. This four-part series explored the fundamentals of project management and how its principles apply across various disciplines and teams, providing valuable insights into troubleshooting, forecasting, and problem-solving within professional team settings.

Each session focused on key aspects of project management, providing practical tools and strategies for success. Participants gained hands-on experience with project management templates and techniques that they can now confidently implement in their own work environments. The final session featured a panel discussion of experts who utilize project management in their respective careers, offering real-world insights and best practices.

As a result, many makeshift hospitals were woefully underused. To establish best practices and optimization for their use in the future, Eyyub Kibis, assistant professor at the Feliciano School of Business in the Information Management and Business Analytics department, researched their use from April 2020 to September 2020. “God forbid if another pandemic happens in the future, our results might shed some light on how to use those makeshift hospitals and help officials make better plans,” says Kibis. 

His data helped the students in his Optimization Methods for Business Analytics course understand resource allocation. “We’re always talking about resource allocation and optimization.” says Kibis. “This was an optimization model to efficiently distribute available resources, like money and hospital beds.”  

Mathematical models and optimization methods might appear to be quantitative methods that are used exclusively in business, but Kibis tells his students they have other applications too. “They can be used for nonprofit and for-profit purposes,” he says. “We are providing a service for officials that can be utilized during the time of a pandemic like COVID or Ebola.” 

Beyond optimization, Kibis has researched data mining methods for biological diseases like cancer, which was not much different from his research during the pandemic. “A cancerous cell spreads to nearby cells and then to the entire body. In a pandemic you have patient zero and the disease spreads to nearby patients. It becomes a pandemic,” says Kibis. His cancer research resulted in an optimization method establishing best treatment models and schedules for stage two breast cancer patients. “These topics are related to optimization. In my optimization class we talk about minimizing disease,” says Kibis.

In 2015, the United Nations established 17 global Sustainable Development Goals. Kibis’ research has contributed to its Good Health and Well-Being goal. “My research provides preventative measures. We try to minimize the transmission of disease and improve public health preparedness.”

Dr. Albizri also highlights common mistakes to avoid, pertaining to credit score, costs, applications, and budgeting. Avoid applying for loans without first checking your credit report for errors and understanding the true cost of borrowing. This can be executed by evaluating the APR, fees, and penalties, not just the interest rate. Be cautious applying for multiple loans, which can negatively affect your credit score, and always read the fine print to spot hidden fees or unfavorable terms. According to Albizri, the best online lenders prioritize transparency, competitiveness, convenience, and their reputation. Dr. Albizri’s expert insights emphasize the importance of thorough research and informed decision-making to secure the best loan terms and avoid common oversights in the online lending process.