When we cluster and classify we can do so in various ways across industry sector, customer size , revenue generated , length of tenure etc.
Which latent set of variables help point towards root cause of customer behavior ?
Author: DeepContext LLC
Artifical Intelligence, Machine Learning, Conversational Systems, Photography, Videography
Correspondence Routing
Ingest analyze sentiment , classify and route incoming correspondences or documents .
Protected: Classification
Regression: Prediction of Trends
A simple analytics use case is predicting mortgage default. We can use different predictive models, e.g., C5 classification model in SPSS or Spark ML Random Forest Classifier in the notebook.
Unraveling Layers of Unstructured Data
In today’s fast paced business environment often a combination of capabilities is needed to achieve tangible business benefit, to build solutions that gather content from multiple sources, traditional databases all the way to including web and social. With those solutions, you can store, analyze, and report on data by using a combination of analytics and data science capabilities to drive actionable insights and visualization.
Unstructured data over unstructured content usually refers to text, sound, pictures, video. The analysis of unstructured content or unstructured data starts with the notion of cognitive capture with the ability to OCR the content.
Pulling structured data out of the depths of unstructured content allows us to gain access to that content.
Amalgamation takes that derived content and looks it up in systems of record, to match it with a Master Data Management system, to match it with a customer profile, a market segment, a recommendation, a basket analysis, a collaborative filtering.
AI Patterns 