ConvergeHEALTH™ CognitiveSpark™
for Manufacturing
Delivering real AI advantage to life sciences manufacturing
A cloud-based, AI-powered solution that leverages
proactive insights to help optimize the life sciences
manufacturing value chain.
Why CognitiveSpark™ for Manufacturing?
Optimize life sciences manufacturing with AI-powered insights
Life sciences manufacturers provide essential drugs and medical supplies to health care patients and caregivers. As such, they must produce quality products at scale while continuously building value, even in the face of disruption. How can life sciences manufacturers leverage the data at their fingertips to build a competitive advantage?
CognitiveSpark for Manufacturing puts your organization’s data foundation to work, providing actionable insights that enable improved decision-making and lead to positive outcomes across the life sciences manufacturing value chain.
Our cloud-based solution incorporates AI throughout the life sciences manufacturing process, driving growth for your organization while ensuring patients get the quality therapies they need.
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The benefits
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01
Improve product yield
Monitor the quality of raw materials and select materials that can optimize your life sciences manufacturing yield.
02
Increase manufacturing efficiencies
Continuously monitor performance and leverage insights to enable real-time life sciences manufacturing process optimization, improving process and efficiency.
03
Streamline quality control
Identify potential deviations from expected behaviors in the batch, reducing batch release times and lead times.
04
Reduce maintenance costs
Analyze data to detect patterns that indicate premature failure of equipment and recommend proactive maintenance.
05
Improve sustainability
Automate routine tasks and improve decision-making to build more sustainable practices and reduce product waste and harmful environmental impact.
06
Integrate with existing platforms
Plug into third-party platforms, enabling ease of data flow and analytics, scalability, and flexibility.
Solution capabilities
Predictive analytics and ML
Machine learning and model adjustments enable real-time predictions and feedback for running processes against optimal target models.
Real-time monitoring
Visibility across assets, users, and processes offers real-time recommendations to enhance operational efficiency and quality oversight.
Process normalization
Comparisons of manufacturing processes and quality outcomes across batches, products, lines, etc. uncover potential discrepancies.
Knowledge discovery
Templated advanced analytics models for discrete and continuous data proactively predict, detect, and address anomalies.
Advanced analytics
Multivariate calculations across sites, products, batches, and operations detect incidents and identify root causes.
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ConvergeHEALTH CognitiveSpark for Manufacturing in action
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Insights to guide your journey
