Join us in this webinar to explore the potential of knowledge graphs to scale analytics and drive sustainable operations in the metals and mining industry. Learn how knowledge graph model relationships between disparate data sources and help in laying a foundation for scaling analytics.Pharma 4.0, also known as Industry 4.0 or the Smart Factory, collects and analyses data from every stage of the production process to optimize output, improve quality assurance, and reduce costs. It addresses regulatory compliance requirements specific to the pharmaceutical industry.
Today, the need for agile real-time insights from rapidly expanding data has led experts to focus on DataOps. DataOps integrates processes, practices, and technology to automate data-related tasks, enhancing agility, speed, and data quality. It fosters a culture of continuous improvement within businesses. Additionally, ontology-based knowledge representation (knowledge graphs) has proven effective in addressing challenges such as interoperability between standards and devices, domain knowledge modeling, and IoT integration.
By leveraging cutting-edge technologies like IoT, DataOps, and knowledge graphs, pharmaceutical companies can achieve faster progress while remaining compliant with regulations.
Agenda
- Limitless Opportunities for Digital Transformation in Pharma
- Empowering Scalable Digital Transformation in Pharma with AWS IoT
- Live Demo 1 - Yield Prediction in Bioreactor Enhancing Pharmaceutical Manufacturing Efficiency
- Live Demo 2 - Data insights for repetitive Golden Batch
- Live Demo 3 - Unlocking the Power of Knowledge Graphs for Increased Traceability & Visibility
- Tridiagonal Smart Apps for Pharma 4.0
- Q&A
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