Modern Data Platform, IoT & the Cloud -how...
summary
Claims a cloud native, lambda architecture data platform that ingests any data type at streaming scale and centralizes 1500 active studies, 5 million patients and 30,000 sites into a real-time command-center for trials. Demonstrated integrations with Fitbit Apple Watch Dexcom and Philips devices, a COVID-19 dashboard fed by Johns Hopkins and Google APIs, and a chatbot/voice bot that cuts first‑call resolution time. Notes 60–80% effort still goes to data curation.
AI-written summary · about
chapters (9)
- 0:00Start
- 2:39Agenda
- 3:14Industry Challenges
- 6:07Virtual Trials
- 6:19Why Virtual Visits
- 8:04Patient Participation
- 26:22Use Cases
- 30:51Predictive Analytics
- 32:39Continuous Glucose Monitoring
related talks
28mHerding Data to the Cloud
27mData Mesh for the Cognitive City
23mKeynote: Intelligent Internet of Things: Start Analyzing Your Global Device Data for Real-Time
44mData Mesh: Lessons from the trenches
41mRevolutionizing Healthcare Delivery Through IoT and AI
35mCloud Native Data Platforms - The why, what and how
33mLeaning into the Data Mesh
19mModern Data Stack Is Dead. Adopt Data Mesh – From Concept To Service