Artificial Intelligence – and Its Opinion on AI

Artificial Intelligence – and Its Opinion on AI

??????????? Sue Behrens of the Keck Graduate Institute organized a panel at this month’s Biotechnology Innovation Organization’s annual convention in San Diego.? The title of this discussion, held in the Bioprocessing Theater, could not have been more timely:?

Bridging the Gap: Future Talent Development for Digitization in Biomanufacturing?????????

??????????? Jeff Boesiger served as the moderator and Animesh Ray, Brian Berquist, and Tyler Dewitt joined me on the panel.? We had a very lively discussion – it was one of the most fun panels that I have ever been on – but the most interesting aspect came at the end during the question and answer period.? Jeff said, “here is our first question from the audience – from someone named ChatGPT.”? And I have to admit that Artificial Intelligence generated really good questions for the Artificial Intelligence discussion.?

??????????? To prepare for the session, I’ll admit that I entered the discussion into ChatGPT to see its take on the subject.?

I entered the description:? ???

This session will focus on future talent development requirements to support digitization in biomanufacturing.? It is important to provide bioprocessing context to AI/ML experts, while also ensuring that biomanufacturing resources understand the opportunities for productivity optimization and implementation requirements. Reciprocally, AI empowered by generative models in the manufacturing environment provides opportunities for creation of technology-driven training, in modalities such as AR and VR.?The panelists will discuss curriculum and program offerings to drive realization of the benefits in a manufacturing environment.

And ChatGPT returned this:?

Title: Bridging the Gap: Future Talent Development for Digitization in Biomanufacturing

Introduction: As the biomanufacturing industry embraces digitization to enhance productivity and innovation, there arises a critical need to cultivate a workforce equipped with both bioprocessing expertise and proficiency in Artificial Intelligence/Machine Learning (AI/ML). This session explores the evolving landscape of talent development requirements to support digitization in biomanufacturing, emphasizing the integration of AI/ML expertise with bioprocessing knowledge. Furthermore, it delves into the transformative potential of AI-powered training modalities such as Augmented Reality (AR) and Virtual Reality (VR) in shaping the future of manufacturing education.

Contextualizing Digitization in Biomanufacturing: Biomanufacturing, the process of utilizing living organisms or their components to produce valuable products such as pharmaceuticals, enzymes, and biofuels, stands at the precipice of a digital revolution. The integration of digitization technologies, including AI/ML, holds the promise of optimizing bioprocesses, reducing costs, and accelerating innovation. However, to fully realize these benefits, a workforce adept in both bioprocessing principles and digital technologies is indispensable.

The Importance of Talent Development: Recognizing the symbiotic relationship between bioprocessing and AI/ML, it becomes evident that future talent in biomanufacturing must possess interdisciplinary skills. Bioprocessing experts need to be proficient in AI/ML concepts to leverage digital tools for productivity optimization, while AI/ML specialists require a foundational understanding of bioprocessing principles to effectively address industry-specific challenges. Hence, talent development initiatives must bridge this knowledge gap through tailored curriculum and training programs.

Empowering AI-Driven Training: In addition to traditional educational approaches, the advent of AI-powered generative models opens new frontiers in training methodologies. Augmented Reality (AR) and Virtual Reality (VR) platforms empowered by AI offer immersive learning experiences, enabling trainees to simulate real-world manufacturing scenarios and interact with virtual bioprocesses. These technology-driven training modalities facilitate experiential learning, allowing individuals to acquire practical skills in a risk-free environment.

Curriculum and Program Offerings: To foster the integration of AI/ML expertise with bioprocessing knowledge, educational institutions and industry stakeholders must collaborate to design comprehensive curriculum and program offerings. These initiatives should encompass foundational courses in bioprocessing fundamentals and AI/ML principles, supplemented by specialized modules focusing on their intersection in biomanufacturing. Furthermore, hands-on training labs equipped with state-of-the-art AR/VR facilities can provide learners with practical experience in applying digital technologies to bioprocess optimization.

Conclusion: In conclusion, the future of biomanufacturing hinges on the cultivation of a skilled workforce capable of navigating the convergence of bioprocessing and digitization. By providing AI/ML experts with contextual understanding of biomanufacturing and empowering bioprocessing professionals with digital literacy, we can unlock the full potential of AI-driven productivity optimization in the biotech industry. Moreover, leveraging AI-powered training modalities such as AR and VR holds the key to immersive, technology-driven learning experiences that prepare individuals for the challenges and opportunities of the digital era. Through concerted efforts in talent development, we can pave the way for a future where innovation flourishes at the intersection of biology and technology in biomanufacturing.

And then I asked ChatGPT to develop some questions for the panel for the end of the discussion:?

Here are some questions that could be asked after a presentation on future talent development requirements to support digitization in biomanufacturing:

  1. How do you envision the integration of AI/ML expertise with traditional bioprocessing knowledge shaping the future of biomanufacturing?
  2. What specific challenges do you foresee in bridging the gap between bioprocessing experts and AI/ML specialists within the biomanufacturing workforce?
  3. Can you elaborate on the potential benefits of AI-powered training modalities such as AR and VR in enhancing manufacturing education?
  4. What role do you believe educational institutions should play in preparing students for the evolving demands of digitization in biomanufacturing?
  5. How can industry-academia partnerships contribute to the development of tailored curriculum and training programs to address the talent needs of the biotech industry?
  6. In your opinion, what are the key competencies that future biomanufacturing professionals should possess to succeed in a digitally-driven environment?
  7. Could you provide examples of successful initiatives or case studies where AI/ML integration has significantly improved bioprocessing efficiency and productivity?
  8. What strategies can organizations implement to foster a culture of continuous learning and adaptation in the context of rapid technological advancements in biomanufacturing?
  9. How do you foresee the regulatory landscape evolving to accommodate the integration of AI/ML technologies in bioprocessing operations?
  10. What steps can individuals take to stay abreast of emerging trends and advancements in both bioprocessing and digital technologies to remain competitive in the job market?

?

??????????? Wow.? I’m wondering if I am being replaced.?

??????????? I did have fun on the panel and wanted to thank my fellow panelists for the discussion.? For a thank you email, appropriately ChatGPT wrote this for me:

Dear Colleagues,

I hope this message finds you well. I wanted to take a moment to express my heartfelt gratitude for your exceptional contributions during our recent tenure together on the technical panel. Your dedication, expertise, and collaborative spirit truly made a significant difference in our deliberations and outcomes.

Throughout our discussions, I was continually impressed by the depth of knowledge and the insightful perspectives each of you brought to the table. Your willingness to engage thoughtfully with complex issues and your commitment to finding innovative solutions greatly enriched our collective efforts.

Moreover, your professionalism and teamwork were exemplary, creating an environment where open dialogue flourished, and diverse viewpoints were valued. It was inspiring to witness how we could leverage our collective strengths to tackle challenges and achieve our shared goals effectively.?

Your contributions have not only advanced our projects but have also enhanced our professional growth and development. I am grateful for the opportunity to have collaborated with such a talented group of individuals and am proud of what we have accomplished together.

As we move forward, I am confident that the insights gained from our collaboration will continue to inform and inspire our work. Please know that your efforts have not gone unnoticed and are deeply appreciated.

Once again, thank you for your unwavering dedication and commitment to excellence. I look forward to the possibility of collaborating with you again in the future.

Warm regards,

And I could not have said it better myself.

?

?

?

?

Ying-Tsu Loh

Executive Director at BABEC: Inspiring ALL students to engage in science by empowering teachers

5 个月

Jim, I try to use ChatGPT for various things throughout my week. I do find it getting better and better with my queries and it saves me a lot of time! It's a great tool and of course, use with caution.

要查看或添加评论,请登录

社区洞察

其他会员也浏览了