Intelligent Data Driven Applications that Learn and Adapt

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Transcript Intelligent Data Driven Applications that Learn and Adapt

Intelligent apps
learn and adapt to deliver
more powerful experiences
Your app
Making an app intelligent
Feedback loops use data
to improve results over time
Your app
Add intelligence
to existing apps
Add intelligence
to existing apps
Ski rental reservation
Displays products
Handles transactions
Add intelligence
to existing apps
With intelligence
Predicts demand to help customers
know what to expect
Ski rental reservation
Displays products
Handles transactions
Add intelligence
to existing apps
Lift status
Shows open/closed status
Add intelligence
to existing apps
With intelligence
Predicts wait time
Warns based on traffic
Identifies anomalies
Lift status
Shows open/closed status
Add intelligence
to existing apps
Dining
Shares menu
Takes reservations
Add intelligence
to existing apps
With intelligence
Knows where you want to eat next
Dining
Shares menu
Takes reservations
Demo
Pablo Castro
Software Architect
Database Systems Group
Architecture
Ski rental
Architecture
Lifts and runs
Architecture
Dining
Store data
Today’s
ingredients
for intelligence
Collect
events
SQL Server with R
Azure Blob Storage
Azure Event Hubs
Learn
and adapt
Azure Machine Learning
Improve the
experience
R Tools for Visual Studio
Azure Stream Analytics
Azure Search
Azure SQL Database
Azure DocumentDB
Azure Data Lake
Azure SQL Data Warehouse
Azure Redis Cache
Azure Data Lake
Azure HDInsight
Power BI
Cortana Analytics Suite
Azure App Service
Transform business
with intelligent apps
Tailored experiences
Forecasting
Anomaly detection
Ski rental reservation
Lift status
Dining
Demand
Fraud
Personalized offers
Revenue
Supply chain delays
Cross-channel experiences
Growth
Customer dissatisfaction
Product recommendations
Next Monday:
1) Pick an existing app.
2) Start adding in intelligence.
Instrument your app to collect telemetry and start a feedback loop.
See if any Cortana Analytics pre-built models will make your app smarter.
Use AzureML with telemetry data to add an intelligent behavior to your app.
Add search and recommendations to your app.
Try R services for SQL Server 2016 for ETL-free advanced analytics.