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Deep Learning Methodology

Deep Learning Analytics for the Responsive 21st Century Enterprise

 
 
 

Ingest, Integrate, Index, Insight and Invest

 

Intuition Machines goes beyond academic Deep Learning applications by embedding the technology into real-world I.T. architecture.  Intuition Machine leverages Deep Learning for Data Integration and Question & Answer solutions.  Our focus is to provide solutions that enhance the Ingest, Integrate, Index, Insight and Invest driven analytics discovery cycle.  Intuition Machine state-of-the-art solutions are synergistically enabled using Big Data Hadoop, Spark, TensorFlow and High Performance Computing technologies.  

 

Software

Connection Machine (CM)

Deep Learning Analytics Suite

Data Inventory and Discovery

Deep Learning Analytics Lifecycle management

Scalable Spark and TensorFlow based Deep Learning

 

 

 

Intuition Machine (IM)

Deep Question and Answer

Automate codification of enterprise knowledge

Leveraging Deep Learning Analytics

 Query Unstructured Data from Learned Features

User friendly Natural Language Queries 

 

 

 

 

Wetware

Carlos Perez

Software Architect Deep Learning

MS Comp. Sci,  Univ. of Massachusetts

Co-Founder

 

Kevin Bates

Enterprise Big Data

MS Computational Chemistry, Rice U

Advisor

 

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Thomas Pe

Financial Risk Developer

Ph.D. Condensed Matter, Iowa State U

Advisor

Albert de Vera

Big Data DevOps

BS Physics, Univ. of Philippines 

Co-founder

 

Rab Boyce

IT Service Management Methodology 

B.S. Software Eng., Univ. West Scotland

Advisor

 

Paco Sandejas

Venture Capital

Ph.D. Electrical Eng.,  Stanford U

Advisor

Josephine Palencia

High Performance Computing

MS Non-Linear Dynamics, Drexel

Advisor

 

 

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Leverage Deep Learning to improve your Data Science pipeline.