Take Control of the Data of You
summary
A personal data pipeline demonstrates using Cortana Analytics Suite, Azure Machine Learning, Cosmos DB, LUIS.ai and Power BI to detect illness early. Wearable and service feeds (Garmin, Fitbit, Strava, Untappd) sync via Azure Functions into Cosmos DB; a binary classifier flags virus states (e.g. one prediction showed 86% confidence). Outcomes include walking 4041 km in 2014 and running a 67 km ultra in 8h22; code and sample data live on GitHub and the bot answers natural‑language queries against the trained model.
AI-written summary · about
chapters (17)
- 0:00Start
- 1:51Custom Vision Ai
- 8:48Change Formula
- 12:07Track Everything
- 13:08Learn How To Breathe
- 14:04Learn How To Eat
- 15:56Advanced Analytics
- 16:45Fitness and Freshness Graph
- 19:18Asia Function
- 20:35Document Database
- 21:19Data Explorer
- 23:23Cortana Integration
- 27:55Sleep and Beers Correlation
- 35:51The Bot Interface
- 44:56Utterances
- 45:06Date / Time V2
- 53:21Test Your Bot
related talks
01h 04mTake Control of the Data of You
01h 00mTake Control of the Data of You
37mUsing the power of Azure and AI to help fight the COVID pandemic
27mLive and Machine Learn
01h 09mDialogue with your Data: Interactive AI with Azure Cognitive Services
01h 05mAzure Machine Learning for the Developer
19mEnterprise AI-Powered Predictive Maintenance Platform
31mLeveraging Azure PaaS for Real-Time Social Media Analysis