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Скачать или смотреть Panther Business Briefing Ep. 8 –AI Pt. 3: AI Applications & Healthcare Admin. with Dr. Lina Bouayad

  • Panther Business Briefing FIU
  • 2025-04-08
  • 16
Panther Business Briefing Ep. 8 –AI Pt. 3: AI Applications & Healthcare Admin. with Dr. Lina Bouayad
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Описание к видео Panther Business Briefing Ep. 8 –AI Pt. 3: AI Applications & Healthcare Admin. with Dr. Lina Bouayad

Panther Business Briefing Ep. 8 –Redesigning Processes, AI Applications & Healthcare Administration with Dr. Lina Bouayad

In this eighth episode of the Panther Business Briefing, co-hosts Jayson Read and Baran Pourtahmaseb-Sasi continue their ongoing exploration of artificial intelligence in healthcare. They are joined by Dr. Lina Bouayad, Director of FIU’s MBA in Business Analytics and AI program.

Dr. Bouayad begins by tracing her early involvement with AI and healthcare informatics, offering firsthand insight into how machine learning applications evolved from research labs and federal grant-funded projects into tools that now play a major role in diagnostics, fraud detection, and personalized medicine. She reflects on the shift from experimentation to real-world business integration, including projects like predictive modeling for perishable goods and AI-powered inventory management.

Throughout the episode, she emphasizes the importance of “AI literacy” before implementing new tools. She warns against adopting AI for the sake of trendiness and stresses that not every business problem requires high-powered algorithms. Instead, she encourages leaders to focus on usability, employee training, and data privacy as essential pillars of responsible AI deployment. Beyond tech implementation, leaders need to consider worker adoption, job redesign, and privacy governance.

The conversation then turns to the broader implications of AI adoption in the business world, particularly the concept of “AI entrenchment” and whether smaller firms can keep up. Dr. Bouayad dispels the myth that AI is only for Big Tech, showcasing how startups and mid-size firms can now leverage large language models by customizing them with business-specific data through frameworks like Retrieval-Augmented Generation (RAG). These claims are further reinforced by her personal experiences with her own startups, Looba.ai and Top Health AI.

Looking ahead, she sees wide adoption of AI across all sectors. But rather than a wholesale replacement of jobs, Dr. Bouayad expects a redefinition of roles (particularly in complex professions like medicine and law) where AI augments human abilities rather than replacing it. Notably, Dr. Bouayad emphasizes the importance of AI literacy, data governance, and ethical regulation.

The episode concludes on a key philosophical dilemma of our era: AI tools can improve productivity, but without attention to how they impact critical thinking (especially among students and professionals) we risk outsourcing not just tasks, but our own judgment. From students using ChatGPT to doctors using AI tools for documentation, she says we need to be mindful of how these tools are shaping us—not just how we are shaping them.

Stay tuned for our next episode where we revisit our most notable topics across our previous series’ and share the insights we gained along the way.

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