Data Scientists deal with a complex world of Big Data – increasing volume, velocity and variety of data – demanding an evolution in the solutions for analytics. Analytics today are not just about statics but really understanding the meaning of content regardless of the source or the structure. This is even more the case with unstructured data. While unstructured data has been a major issue in the area of Intelligence and National Security, its now a mainstream problem with the overwhelming amount of information that users and business most face every day from Social Media and Online content. We can’t just search or count anymore- it is vital to create and make sense of the valuable interconnections of entities and relationships that are key to our daily decisions. Tim will introduce Automated Understanding for Big Data and explain how this new evolution is the fundamental step in the next wave of software. Tim will show the power of this new capability on a large and valuable dataset that has never been deeply understood by software before.
This session is sponsored by Digital Reasoning
I am the Chairman and CEO of Digital Reasoning Systems. Digital Reasoning builds data analytic solutions based on a distinctive, patented mathematical approach to understanding natural language and leverages bleeding edge cloud technologies to make these analytics work effectively on vast amounts of data. The value of Digital Reasoning is not only the ability to leverage an organization’s existing knowledge base, but also to reveal critical hidden information and relationships that may not have been apparent during manual or other automated analytic efforts. Our products are presently used in connection with large and deployed defense intelligence systems in support of intelligence analysts in the Federal Government.
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