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When you think of Artificial Intelligence, you may think of some scene from a movie where robots are taking over the world…well, I can’t say that won’t happen :), but I can say, that some people are starting to find ways to make manufacturing medicine more efficient using it.
On today’s episode of the Modern Biopharma Podcast, I had the pleasure of talking with Vijay Yadav, from Merck.
We didn’t talk about robots taking over the world, but we did talk about how Vijay’s team is leading the industry and finding new ways to make AI and Machine Learning useful towards a more efficient and higher quality future in the modern biopharmaceutical plant. While many are talking about it, Vijay and his team are doing it.
Listen in…today we talk about:
The Automated Vision Inspection process
What made this process a success?
What were the risks/downsides of running this technology?
What makes the culture different that you’ve been able to make such progress with AI in an industry that is so resistant to change?
How have you been able to build a team for this work? It seems that other industries are driving this kind of work
Learn more about Vijay through one of his articles:
https://ispe.org/pharmaceutical-engineering/november-december-2020/vision-inspection-using-machine
https://towardsdatascience.com/quantify-the-business-impact-of-your-data-science-project-b742e4b3208f
https://www.linkedin.com/pulse/artificial-intelligence-vs-machine-learning-whats-what-vijay-yadav-1/
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When you think of Artificial Intelligence, you may think of some scene from a movie where robots are taking over the world…well, I can’t say that won’t happen :), but I can say, that some people are starting to find ways to make manufacturing medicine more efficient using it.
On today’s episode of the Modern Biopharma Podcast, I had the pleasure of talking with Vijay Yadav, from Merck.
We didn’t talk about robots taking over the world, but we did talk about how Vijay’s team is leading the industry and finding new ways to make AI and Machine Learning useful towards a more efficient and higher quality future in the modern biopharmaceutical plant. While many are talking about it, Vijay and his team are doing it.
Listen in…today we talk about:
The Automated Vision Inspection process
What made this process a success?
What were the risks/downsides of running this technology?
What makes the culture different that you’ve been able to make such progress with AI in an industry that is so resistant to change?
How have you been able to build a team for this work? It seems that other industries are driving this kind of work
Learn more about Vijay through one of his articles:
https://ispe.org/pharmaceutical-engineering/november-december-2020/vision-inspection-using-machine
https://towardsdatascience.com/quantify-the-business-impact-of-your-data-science-project-b742e4b3208f
https://www.linkedin.com/pulse/artificial-intelligence-vs-machine-learning-whats-what-vijay-yadav-1/