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The Long Learning Curve For Artificially Intelligent Drug Manufacturing Begins Now

 
• By Bowman Cox

Drugmakers quickly adopt low-impact AI/ML models in quest to eventually automate manufacturing processes. Already, they are learning a lot about how these models can support their operations. One finding: innovative change management approaches may be required to unlock their full potential.

Big machine learning curve
the human learning curve comes first • Source: Shutterstock

The pharmaceutical sector has quickly begun using artificial intelligence and machine learning models (AI/ML) in manufacturing and quality assurance, participants in recent workshop discussions indicated – but is unlikely to give the technology control over manufacturing processes or product release anytime soon.

Meanwhile, pharmaceutical manufacturers are working to optimize the AI/ML models they are using, for example by relying on recent regulatory innovations to capitalize on their learning abilities even in the

Key Takeaways

  • Firms are far from giving AI systems control of their manufacturing processes even though it could be very beneficial because it also could be disastrous, and they still have much to learn about it.

  • Instead, they have been looking for machine learning models to handle routine tasks, identify problems and propose solutions

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