When Are Groups “Real”?
When Are Groups “Real”? By Gunnar Carlsson, Ayasdi – JUNE 24, 2015 One of the key capabilities in topological data analysis is the identification of coherent subpopulations in complex data sets. Often these groups are...
Tagged: Ayasdi
Creating Effective Risk Models Using Machine Intelligence
Creating Effective Risk Models Using Machine Intelligence Ayasdi White Paper July 2015 Abstract Why Effective Risk Models are Critical There is a growing need for financial institutions to have sound models in place that...
Transforming the Client Experience at the Private Bank using Machine Intelligence
Transforming the Client Experience at the Private Bank using Machine Intelligence Ayasdi White Paper, June 2015 Abstract Delivering a Transformative Client Experience: A Strategic Priority Private banks strive to deliver superior client service through...
Three Properties of Topological Analysis
Three Properties of Topological Analysis By Gunnar Carlsson, Ayasdi Topology is the study of shape, but it is in fact the study of shape from a particular point of view. For example, it does not...
Why Topological Data Analysis Works
Why Topological Data Analysis Works By Gunnar Carlsson— Ayasdi, JANUARY 06, 2015 Topological data analysis has been very successful in discovering information in many large and complex data sets. In this post, I would like to...
Prof. Gunnar Carlsson, Ayasdi
Gunnar Carlsson President and Co-Founder, Ayasdi. Gunnar Carlsson is one of the most renowned mathematicians in the world. He is Ayasdi’s President and a co-founder and has an undergraduate degree from Harvard University and...
TDA and Machine Learning: Better Together
TDA and Machine Learning: Better Together Ayasdi, White Paper. The New Data Analytics Dilemma Now more than ever, organizations rely upon their data to make informed decisions that can affect millions of lives and...