Apache Kafka and Machine Learning in Pharma and Life Sciences

Slides:

Blog Post:

AI/Machine learning and the Apache Kafka ecosystem are a great combination for training, deploying and monitoring analytic models at scale in real-time. They are showing up more and more in projects but still, feel like buzzwords and hype for science projects.

See how to connect the dots!

- How are Kafka and Machine Learning related?

- How can they be combined to productionize analytic models in mission-critical and scalable real-time applications?

- We will discuss a step-by-step approach to build a scalable and reliable real-time infrastructure for drug discovery doing data integration, feature engineering, image processing, model scoring and processing orchestration.

Use Cases:

R&D Engineering
Sales & Marketing
Manufacturing & Quality Assurance
Supply Chain
Product Monitoring & After Sales Support
VoC (Voice of Customer)
Single View Customer
Yield/Quality Optimization
Improved Drug Yield
Proactive Service Scheduling
Testing & Simulation
Drug Diversion
Process/Quality Monitoring
Inventory & Supply Chain Optimization
Proactive Service Offers
Patent Research and Analytics
Personalized Offers / Ads
EDW Offload
Supply Chain Network Design/Risk Management
Product Predictive Maintenance
Clinical Trials
Customer Segmentation
Smart Products
Serialization & e-Pedigree
Product Usage Tracking
GTM
Global Facilities
Inventory and Logistics Visibility
Warranty & Recall Management