#AnalyticsXC o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.

How Ansira Uses Machine Learning to Help Panera Bread Improve Customer Experiences and Business Results

Trae ClevengerEVP, Chief Strategy OfficerAnsira

Shawn UtkeVP Customer Engagement ManagementPanera Bread

Machine Learning

The Data Challenge

1 gigabyte = 1.6 HD cat videos

1 zettabyte = 1,600,000,000,000,000,000,000 HD cat videos

Machine Learning

• A field of study that…

–Develops algorithms that can learn from data in order

to make predictions or prescribe actions

–Gives computers the ability to learn without explicitly

being programmed

Requirements for Success

DATA PROCESSPEOPLE

Machine Learning Approaches

• Supervised Learning

• Unsupervised Learning

• Reinforcement Learning

Supervised Learning

• Classification

–Predict to which category a new observation belongs

• Regression

–Predict a numerical value for a new observation

Cat Dog

Supervised Learning Techniques

• Linear Regression

• Logistic Regression

• K-nearest Neighbor

• Classification & Regression Trees

• Neural Networks

• Support Vector Machines

• Ensemble Methods

• And many more…

Unsupervised Learning

• Clustering

– Segment observations into similar groups

• Association Rule Mining

– Identify relationships or groups of items that are found together in

transaction-type data

• Anomaly Detection

– Identify observations which do not conform to an expected pattern

???

Unsupervised Learning

Indoor Outdoor

Anomaly!

Unsupervised Learning Techniques

• Clustering

– K-Means

– Hierarchical

• Association Rule Mining

– Apriori

• Anomaly Detection

– Highly dependent on type of anomaly and data

– Often based on other machine learning techniques

Reinforcement Learning

• Effective in unknown and noisy environments

• Decisions must be made on the exploration vs. exploitation tradeoff

– Exploration – take an action to learn more about the environment

– Exploitation – take an action to maximize the expected reward

Choose Observe Obtain

Reinforcement Learning Techniques

• Like other machine learning approaches, there are many models and

algorithms that can be used to choose actions in a reinforcement

learning problem. Two common approaches are:

– Multi-armed bandit algorithms

– Gaussian process regression

C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.

#AnalyticsX