Include Technology in Drug Manufacturing for Greater Control and Operational Efficiencies.

Artificial intelligence (AI) and machine learning (ML) can help optimize the drug manufacturing process. This leads to higher productivity, with better efficiency, and a faster turnaround time.

Quality control

Programs developed using AI and ML can replace the traditional trial and error approach while manufacturing drugs.

  • AI enabled smart cameras for quality inspections.
  • Continuous quality control using Process Analytical Technology (PAT).
  • AI tools to indicate any possible errors.
  • Access to more meaningful and real-time data for operational excellence.

Automation

One of the major advantages of AI and ML is automation, which ensures you hit the target on time without compromising on the quality.

  • Automate collecting and managing real-time data.
  • Continuous monitoring and process improvement.
  • Identification of trends and anomalies in the data.

Predictive maintenance

AI and ML can help in predictive maintenance of the manufacturing equipment and reduce the risk of sudden downtimes.

  • Predictive analytics to foresee and predict the requirement of maintenance.
  • Cloud computing for operational efficiency, and easy scalability.
  • Customized dashboards for accurate decision making.

Get in Touch

i2e Consulting is a pharma focused IT service provider company
which is leading innovation in the industry.

Explore opportunities and gain competitive advantage.

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