A retrieval chatbot for commercial and sales teams has become one way Akinsola “Akin” Jeje is putting his AI studies to work. Working in medical devices and the healthcare value chain, he is applying his learning to a workplace innovation involving a knowledge engine and governance layer for the tool. His experience offers a practical perspective on AI adoption in healthcare, grounded in the business operations that support the industry.
Akin chose Quantic’s MS in AI Engineering with two clear goals. He wanted to develop the skills to originate, design, build, and deploy AI systems and lead their adoption within his organization. His workplace innovation brings those ambitions together. Through Quantic MSAIE, he is developing AI expertise to put to use in a field he knows well.
Quick Answer: How is Akin Jeje approaching AI adoption in healthcare?
Akin applies Quantic MSAIE learning to a non-clinical workplace innovation involving a retrieval chatbot for commercial and sales teams. His approach connects healthcare experience, AI engineering, and governance.
- Building and leading: He chose Quantic’s MS in AI Engineering to develop practical AI skills and lead organizational adoption.
- Considering governance: His proposal includes a knowledge engine and governance considerations for the chatbot’s requests and responses.
- Learning with support: He values the flexible format, academic and administrative staff, and extensive alumni network.
What experience does Akin bring to AI adoption in healthcare?
Akin’s interest in healthcare includes a concern for who can access it. His professional focus includes expanding healthcare provision in underserved communities, bringing a personal purpose to his work in the industry.
He studied biochemistry and basic medical sciences at Olabisi Onabanjo University. In business development at MEDICOOL LIMITED, he worked with healthcare stakeholders through collaboration, negotiation, and conflict resolution. His experience also includes a Lead role at MediCash Inc., whose work combines health and wellness information, access to services, and personalized communication.
That background gives his AI studies a practical context. He understands the healthcare environment in which he wants to introduce new capabilities, including the commercial and sales teams his workplace innovation aims to support.
Why did Akin choose Quantic’s MS in AI Engineering?
Akin wanted hands-on skills to design, build, and deploy AI systems, alongside the ability to lead adoption within his organization. His goals connect engineering with the decisions involved in putting technology to use.
The Quantic MSAIE curriculum integrates rigorous technical learning with AI adoption, leadership, and management. Applied projects connect business challenges with AI solutions, developing technical capabilities and business judgment together. The program serves technology-motivated professionals with varied business and technical experience.
For Akin, this combination is relevant to the medical devices and healthcare value chain in which he works. An innovation program at his workplace has provided an opportunity to apply that learning.
How is Akin applying his Quantic MSAIE learning to workplace innovation?
An annual innovation program at Akin’s workplace gave him an opportunity to put his learning into practice. Employees submit ideas in clinical and non-clinical categories, with shortlisted entrants presenting to a review council.
Akin’s non-clinical entry involves a knowledge engine and governance layer for a retrieval chatbot serving commercial and sales teams. Following the campaign’s conclusion, he reports receiving an excellence award and an honourable mention.
When asked what has stood out about his studies, he points to the connection with his professional work:
“I am currently deploying my knowledge from the program as I deepen my skills and domain expertise in the medical devices and healthcare supply and value chain.”
His account shows how coursework can inform an innovation proposal within an existing professional setting. For Akin, the work also raises questions about governance and the responsibilities involved in introducing AI into business operations.
Why is governance important to Akin’s approach to AI?
Akin treats governance as part of technical design. His account includes governance and regulatory tooling connected to the chatbot’s requests and responses, placing the responsibilities of adoption alongside the work of developing the tool.
For broader context, the NIST AI Risk Management Framework offers voluntary guidance on incorporating trustworthiness into AI design, development, use, and evaluation. It provides a useful reference for considering governance throughout an initiative.
Akin’s emphasis aligns with Quantic MSAIE’s focus on preparing technically proficient professionals to lead and implement AI for business needs. His proposal connects that ambition with the commercial operations of the healthcare industry.
What does Akin value about learning with Quantic?
Alongside the opportunity to apply his studies at work, Akin values the everyday experience of learning with Quantic. “Convenience, flexibility” are the first qualities he names when asked about his favorite aspects of the program. He also highlights its modern approach and extensive alumni network.
Akin also gives credit to the people supporting his education. He highlights both academic and administrative staff, noting the support available throughout the year.
His appreciation for Quantic therefore extends beyond the coursework to the people around it. He is also finding ways to participate in that wider community. Research and writing give him opportunities to contribute while developing his own AI capabilities.
How is Akin connecting with the Quantic community?
Akin is contributing to the Quantic Entrepreneur Club as a technical researcher and writer. Through that role, he has been able to “connect with current students and experts in the field.” His involvement gives him a way to contribute research and writing while building relationships beyond his coursework.
Researching and writing for the club lets him contribute to Quantic’s wider community while continuing his own education.
Leading AI adoption with healthcare experience
“I stand on the shoulders of many,” Akin says, acknowledging the people who have shaped his outlook on life.
That appreciation accompanies his ambition to keep learning. Through Quantic MSAIE, he is developing AI capabilities alongside his healthcare expertise and applying that knowledge to a workplace innovation proposal.
His journey illustrates how professionals can build on industry experience while developing the technical skills and judgment needed to lead AI adoption.
Explore Quantic’s MS in AI Engineering to learn how the program bridges AI and business, preparing professionals to lead and implement real-world AI initiatives.
FAQs
Akin chose the program to build hands-on skills to design, build, and deploy AI systems. He also wants to lead AI adoption within his organization. These goals connect his healthcare experience with the engineering capabilities and implementation skills he wants to develop.
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He is applying his learning to a non-clinical workplace innovation involving a retrieval chatbot for commercial and sales teams. His work includes a knowledge engine and an intelligence layer he describes as the tool’s governance layer. Akin says the innovation earned him an excellence award.
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Akin describes the intelligence layer as the chatbot’s governance layer. He also identifies governance and regulatory tooling connected to its requests and responses. His account places these considerations within the technical work of developing an AI agent or application for a business setting.
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Quantic MSAIE integrates rigorous technical learning with AI adoption, leadership, and management. Applied projects connect AI deployment expertise with business needs, helping students develop technical capabilities and business judgment together. The program prepares professionals to lead and implement AI initiatives within organizations.
More Student Spotlight:
- Leading AI Business Transformation: Jeff Dahl’s Quantic Journey
- Leading AI Adoption From the Front: Warren Rehman’s Quantic MSAIE Journey
- Bridging AI and Business: Christopher Arnold’s Quantic MSAIE Journey
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