Full Transcript
Access the complete word-for-word transcript for easy reference and accessibility.
The amount of data that they generate for manufacturing each and every pill or a capsule or a vial is huge. However, the ability to analyze the data and bring out the insights, that is always extremely difficult because of many different reasons. However, from a perspective of digital transformation, pretty much everybody has realized that this is the way to transform for the future.
And to some extent, we are seeing the transformation journey essentially on two very different ends of the spectrum. On the one side, the really large organizations with sophisticated manufacturing facilities are doing it in a highly sophisticated manner. They are saying, ‘How can I improve the yield in my bioreactor?’ It’s a 14-day process.
But at the end, even if I get a 2% or 3% increase, that’s like $5 million of extra product to sell. On the other extreme, there are these one molecule, two molecule companies who are still basically working entirely on paper, but their needs are exactly the same. They want to leapfrog from a digital transformation perspective.
Saying that here I have paper, but can you extract all the information and give me all the insights that I need in order to basically change my business? So extremely two very different ends of the spectrum, but everybody is geared towards needing to do something to change. Not changing is not an option. The threshold for change is a little bit high in the industry.
/ Any questions? We'd love to help
Frequently Asked Questions.
Mareana has helped numerous firms in the Pharmaceutical, Chemical, Medical Device, and Industrial Manufacturing industries.
Digital transformation helps life sciences companies improve manufacturing efficiency, reduce operational risks, enhance compliance, and gain valuable insights from large amounts of production data.
AI is used in pharma manufacturing for predictive analytics, process optimization, quality monitoring, yield improvement, anomaly detection, and extracting insights from manufacturing data.
Pharmaceutical companies often face challenges related to regulatory compliance, data integrity, system validation, operational risk, and resistance to adopting new digital technologies.
Regulatory compliance ensures that pharmaceutical products are safe, effective, traceable, and manufactured according to industry standards established by agencies like the FDA and EMA.
Smart manufacturing in life sciences uses connected systems, AI, IoT, and real-time analytics to automate and optimize pharmaceutical production processes.
Small pharmaceutical companies can use digital technologies to automate paper-based processes, improve operational visibility, reduce manual errors, and scale production more efficiently.
Contact Us
Would you like to learn more about our pharmaceutical manufacturing solutions? Fill out the form below and one of our experts will reach out to you promptly.