AI in Biopharma Manufacturing: Are We There Yet?

Transcript — Are We There Yet? (Trailer)

Transcribed from the recording by AI speech-to-text and reviewed; small errors are possible.

00:07 Jack Prior Hello, my name is Jack Prior, and I've spent my career as a bioprocess engineer in manufacturing science and biopharma manufacturing. Throughout my career, I've had a focus in whole or in part on leveraging process data and process modeling to monitor, understand, and control process variation for purposes of yield improvement, tech transfer, and troubleshooting. I began my career in the late '80s at MIT looking at how to apply artificial intelligence in bioprocessing, perhaps a little bit too soon, but now forty years later in twenty twenty-six, the time for AI seems to have finally arrived.

00:38 Jack Prior The promise has never been greater, but neither have the pitfalls and the challenges. A key question this podcast will seek to answer is are we there yet in our data readiness, in our technology, and in our regulatory frameworks? Things are changing exponentially, and there's a lot to absorb on both the technical and regulatory fronts. I realize that most people... I spend a lot of time walking, exercising, commuting, listening to podcasts, so I set out to see if I could create something useful in this space on the topic of AI in biomanufacturing.

01:05 Jack Prior To get fully up to speed on the evolving regulatory space, I found there are at least forty different regulatory guidances and white papers to understand. So for season one, I set out to try and experiment. Could I generate an overview of these documents in a narrative format leveraging AI? The voices you'll hear are AI characters, not me. They aren't my views or my employer's, and none of this is regulatory advice.

01:28 Jack Prior You might find it a fun way to learn. AI, for this purpose, has its pitfalls. Obviously, AI is prone to hallucination, but in this case, I've done my best using agentic AI to fact-check each episode and each claim, and that information is in the show notes. So

01:42 Jack Prior be aware of the risk, but know that I've done my best to make this accurate. Beyond season one, I hope to bring some live content, perhaps some interviews or other explainers. We'll see how it plays out. But if nothing else, I found this first season of nine episodes to be very useful and educational to put together, and I hope you find some use in it.

01:58 Jack Prior Subscribe wherever you gather your podcasts, or you can find everything at jackprior.ai/podcast. Thank you