Advanced Analytics and Microsoft Azure Machine LearningLaurent DANICANServices DirectorMicrosoft Central and Eastern Europe

I need our systems to think. I need them to learn and I need them to present issues and problems and anomalies to the employees, to the managers

.Adam CoffeyPresident and CEO WASH Laundry Systems

What is Machine Learning

Computing systems that become smarter with Experience“Experience” = past data + human input

“

”

Machine Learning and Advanced Analytics

Beyond Business Intelligence

Source: Gartner

VA

LU

E

DIFFICULTY

HINDSIGHT

INSIGHT

FORESIGHT

Descriptive analytics

Diagnosticanalytics

Predictive analytics

Prescriptive analytics

What happened?

Why did it happen?

What will happen?

How can we make it happen?

Traditional BI Advanced AnalyticsINFORMATION

IMPROVEMENT

ThyssenKrupp Elevator maintains more than 1.1 million elevators worldwide, including in the most iconic buildings

GOALS

• Competitiveness

• Uptime and Satisfaction

• Costs

SOLUTION

Connected Asset Monitoring Platform with Power BI and Azure Machine Learning

Real Time Performance dashboards (mobile, pc, …)

Predictive downtime analysis and Prescriptive maintenance

OUTCOMES

• Significantly Improved uptime and reliability

• Reduced Costs for Thyssen Krupp and its customers

Microsoft Confidential

Vision Analytics

Recommenda-tion engines

Advertising analysis

Weather forecasting for business planning

Social network analysis

Legal discovery and document archiving

Pricing analysisFraud detection

Churn analysis

Equipment monitoring

Location-based tracking and services

Personalized Insurance

Advanced Analytics are core capabilities that can bring huge value for your business & administrations

What can Machine Learning do for you…?

Croatian Health Insurance Fund

Predictive Analytics projects to prevent hospital

frauds

3 steps1. Envision concept and identify scenarios2. Prove that it worked (POC)3. Fine tune, extend and roll out

Key Outcomes

1. Increased accuracy of Fraud Detection2. Reduce costs and manual treatment3. (next step) fraud prevention4. Further scenarios identified (Pharmacies)

Machine learning previous landscapeHard-to-reach solutionsHuge set-up costs of tools, expertise,

and compute/storage capacity

Siloed and cumbersome data management restricts access to data

Complex and fragmented tools limit Data exploration and model definition

Many models never achieve business value due to difficulties with deployment

Expensive

Siloed data

Disconnected tools

Deployment complexity

Break away from limitations

Solutions at the speed of today’s worldFully managed

Connected Best in Class Algorithms (+ R + Python)

Deploy in minutes

No software to install, No hardware to manage, One portal to view and update

Simple drag, drop and connect interface for both data acquisition and modeling

Sample experiments, tested algorithms,

support for custom R

Tooled for quick deployment, hand-off and updates – click “Publish Web Service”

Machine Learning & Advanced Analytics

Laurent Danican

“Empower every people and organization on the planet to achieve more”

Select a business goal Prepare your data Conduct a Pilot Iterate , bring value and

achieve More

Thank you!