“
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 Coffey
President and CEO
WASH Laundry Systems
What is Machine Learning
”
Computing systems that become
smarter with Experience
“Experience” = past data + human input
How can we
make it happen?
What will
happen?
Why did
it happen?
What
happened?
Prescriptive
analytics
Predictive
analytics
Diagnostic
analytics
Descriptive
analytics
Traditional BI
Advanced Analytics
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
What can Machine Learning do for you…?
Advanced Analytics are
core capabilities that can
bring huge value for your
business & administrations
Churn
analysis
Social network
analysis
Recommendation engines
Location-based
tracking and
services
Vision Analytics
Weather
forecasting for
business
planning
Legal
discovery and
document
archiving
Equipment
monitoring
Pricing analysis
Fraud
detection
Personalized
Insurance
Advertising
analysis
Croatian Health
Insurance Fund
Predictive Analytics projects to
prevent hospital frauds
Key Outcomes
1.
2.
3.
4.
Increased accuracy of Fraud Detection
Reduce costs and manual treatment
(next step) fraud prevention
Further scenarios identified (Pharmacies)
1.
2.
3.
3 steps
Envision concept and identify scenarios
Prove that it worked (POC)
Fine tune, extend and roll out
Expensive
Huge set-up costs of tools, expertise, and
compute/storage capacity
Siloed
data
Siloed and cumbersome data management
restricts access to data
Disconnected
tools
Complex and fragmented tools limit
Data exploration and model definition
Deployment
complexity
Many models never achieve business
value due to difficulties with deployment
Break away
from
limitations
Fully
managed
Connected
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
Best in Class
Algorithms
Deploy in
minutes
Sample experiments,
tested algorithms,
Tooled for quick
deployment, hand-off
and updates – click
“Publish Web Service”
(+ R + Python)
support for custom R
“
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
”