30. • Drill-down analysis … misunderstood or
distorted
• Metrics dashboards … contradictory and
confusing
• Monthly reports … ignored after two
iterations
• In-house analyst teams … overworked
and powerless
How Data-Driven Decisions
REALLY work
CO M M U N I C AT I O N
B R E A K D O W N
31. How Decisions REALLY should
work
Computer
Collects
Computer
Stores
Computer
Analyzes
Computer
Predicts
CO M P U T E R
D E C I D E S
32. — Everyone at Blue Yonder, all the time
99.9% of all business decisions
can be automated
42. • Business rules are like programs – written by
non-programmers
• Business rules can be contradictory,
incomplete, and complex beyond
comprehension
• Business rules have no built-in feedback
mechanism:“It is the rule, because it is the rule”
Business rules are Programs,
just not very good ones.
63. K-Means Clustering
Naive Bayes
Support Vector Machines
Affinity Propagation
Least Angle Regression
Nearest Neighbors
Decision Trees
Markov Chain Monte Carlo
Spectral clustering
Restricted Bolzmann Machines
Logistic Regression
Computers making decisions
(cold, fast, cheap, rational)
64. • A machine learning algorithm is a system that
derives a set of rules based on a set of data
• It is based on systematic observation, double-
checking and cross-validation
• There is no magic, just data – and without data
there is no magic either
Machine Learning means
Programs that write Programs
92. If you ordered 8,5 cases, you
would waste a lot of meat,
the ideal order amount is 8
cases.
93. Predictive Apps in a Nutshell
Batch and streaming data ingestion, batch
and streaming delivery (with real-time option)
Reduce risk and cost » increase revenue and profit
Trend Estimation Classification Event Prediction
Optimize Returns
Collect Data Predict Results Drive Decisions
94. — John Maynard Keynes
“When my information
changes, I alter my conclusions.
What do you do, sir?”
95. One Common Platform for
Predictive Applications
Multi-Tenant Runtime Environment
Link Store Build Run View
Link your own and
third-party data, easily
integrated via API
Store your data in
high-performance
database as a service
Build machine
learning and
application code
Automatically run
and scale ML models
and applications
Monitor and inspect
resource usage and
model quality
Secure Micro Cloud Infrastructure
Domain Model Predictive Model Application Code
96. — Kevin Kelly
“The business plans of the next
10,000 startups are easy to
forecast: Take X and add AI”
97. How Enterprises adopt
Predictive Applications
Learn about
ADDD
Define Target
Process
Build
Predictive App
Go Live
Make Lots of
Money
99. How Enterprises REALLY adopt
Predictive Applications
Learn about
ADDD
Define Target
Process
Build
Predictive App
Make Lots of
Money
D O U BT S
CO N C E R N S
O B J E C T I O N S
