
Lindner’s Applied AI Lab equips students, partners with cutting-edge expertise
Trainings, research and upskilling facilitate real-world AI impact
As artificial intelligence (AI) continues to transform businesses worldwide, Lindner has responded by providing advanced AI training and education to students, faculty, staff and industry partners. The Applied AI Lab was founded to facilitate this mission.
A collaboration between the Center for Business Analytics and Lindner’s department of operations, business analytics, and information systems (OBAIS), the Applied AI Lab outfits the college’s internal and external stakeholders with the tools needed to use the latest AI developments to solve real-world business problems:
- Students: Curricular innovation that empowers business problem solvers by embedding relevant AI content and inventive instruction methods into Lindner courses and programs.
- Business partners: Training and partnerships that build and deepen AI expertise via the Center for Business Analytics.
- Incubator: AI “starter kits” for research, applications and product development.
- Lindner expertise: AI training and upskilling opportunities for Lindner faculty and staff.
The Applied AI Lab is directed by Jeffrey Shaffer, Kirk and Jacki Perry Professor of Analytics and an assistant professor-educator of OBAIS.
Custom training
Jonathan Paul, vice president, director IT, AI & governance, Fifth Third Bank. Photo provided.
The Center for Business Analytics is at the forefront of analytics and AI training and professional development. Each of the center’s public training courses has the ability to be delivered in a private setting and customized to meet organizational requirements.
Fifth Third Bank elected to use the custom option for a course that introduced its employees to generative AI, AI’s foundational concepts, prompt engineering applications, AI governance and ethics, and real business use cases.
“We wanted to be very strategic and get the ball rolling on deploying AI,” said Jonathan Paul, vice president and director of IT, AI & governance at Fifth Third Bank. “We can’t just have these pockets of AI gurus that are doing nothing but research, developing and prototyping AI, and then leave the rest of the company behind, right?”
Paul emphasized the training’s wide-ranging influence, noting participants ranged from executive leadership to early-career data engineers to employees from finance, treasury and commercial units. Over the past year, Shaffer has trained nearly 100 Fifth Third employees.
“These trainings fit a multitude of personas,” Paul said. “We took a broad stroke with this one, but you could dial it in and look at AI for data engineers or AI for business solutions, and tailor them in those ways. We wanted to be very strategic and get the organization comfortable with AI.”
Public training
One of the center’s most popular public training courses, “Generative AI in Business: Applications, Challenges, Ethics and Governance,” requires no AI or coding experience. Due to high demand, it has expanded from two to four half-day sessions.
The course continuously evolves, incorporating emerging AI topics like prompt engineering and agentic workflows to stay aligned with the latest trends and advancements.
Generative AI in Business reinforced my belief that AI isn’t just a tool — it’s a catalyst for transformation.
John Higgins IT SAP Analyst, Cintas
Since June 2024, almost 100 attendees from 40 organizations — hailing from small businesses and Fortune 500 companies alike — have completed the course. AI’s reach is illustrated by the industries represented in the attendee list, including automobile sales, banking, healthcare, logistics, parking services and sustainable packaging, among many others.
“Generative AI in Business reinforced my belief that AI isn’t just a tool — it’s a catalyst for transformation,” said John Higgins, an IT SAP Analyst at Cintas. “From automation to decision-making, the possibilities are endless when AI is leveraged strategically and ethically to enhance efficiency and innovation.”
AI in research
Jahnavi Galla, MS ’24. Photo provided.
Dong-Gil Ko, associate professor at OBAIS, hires and sponsors Lindner masters of business analytics and information systems students to help him preprocess data for his “Ko Lab,” where the primary research involves electronic health records.
Students learn database skills, machine learning, natural language processing and large language model techniques while executing data preprocessing work critical to Ko’s research.
Students like Jahnavi Galla, MS ’24, now a full-time senior data analyst, have supported the Ko Lab and had papers accepted into industry journals and the Production and Operations Management Society (POMS) Conference, a flagship event in the operations management field.
“Working in the Ko Lab gave me exactly the kind of hands-on experience that made me job ready,” said Galla, who presented a study at this year’s POMS Conference that explored how strong patient-provider relationships impact the way providers respond in telehealth messages. “Beyond the technical skills, the Ko Lab also helped me get comfortable with problem solving, working independently and adapting quickly.”
Faculty and staff upskilling
Nearly 90 Lindner faculty and staff signed up for Shaffer’s internal “AI’s Got Talent” training sessions over the recent academic year. The two-hour training sessions covered the basics of generative AI, best practices for using it (and what to avoid), and featured a hands-on component for leveraging AI to solve real-world problems.
Featured image at top: Applied AI Lab Director Jeffrey Shaffer instructs Fifth Third Bank employees during a private generative AI workshop. Photo/Suzanne Buzek.
Applied AI Lab at Lindner
Lindner formed the Applied AI Lab to ensure students, faculty, staff, partners and supporters can use the latest AI advances to solve real-world business problems. Contact Applied AI Lab Director Jeffrey Shaffer for more information.
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