Digital Reasoning’s groundbreaking and patented technology learns from experience and is able to transform your data into the knowledge you need to accurately answer questions.
Example: The Procter & Gamble Company today announced the appointment of Rajat Gupta, managing director of McKinsey & Company, to its board of directors.
Organization: Proctor & Gamble Company
Person: Rajat Gupta
Title: managing director
Organization: McKinsey & Company
Position: board of directors
Example: The Rajat Gupta being discussed is the same Rajat Gupta who serves on the board of Goldman Sachs, was born in 1948 and graduated from Harvard.
Example: Rajat Gupta now has non-public information about P&G. His former mentor is Raj Rajaratnam, who is the founder of Galleon Group — which is selling shares of P&G.
Most data systems just point you in the direction of a document. They tell you to read this or read that. Synthesys takes documents out of the equation and gives you what you truly want: Knowledge. Synthesys believes the best way to represent this knowledge is in the form of a graph. The knowledge graph provides the ability to understand entities and facts in relationships, enabling you to identify opportunities and risks so you can make crucial decisions.
Say you want to know:
Synthesys will answer those questions for you. So rather than spend time searching for answers, you can focus on solving the problem.
Digital Reasoning helps you create your own knowledge graph, derived from your own private data; deployed safely behind your firewall. And, it can be enriched with any public data sources.
Synthesys has a number of unique abilities that enable it to read and understand your human-generated data better than any other software.
Synthesys has an astounding understanding of human language. It understands what people have said and can deal with the ambiguity of words—for instance, when different names are referring to same thing (Joe, Joseph, Joey). It not only understands the words being said but also learns from the in-context usage, exposing the real human meaning in the data.
Synthesys doesn’t just identify the names of people, places and organizations; it relates them to the real-world entities they represent. Once identified, it accumulates knowledge about those entities to include attributes (DOB, POB, date founded, HQ location, etc.), relationships and facts, creating rich knowledge profiles. These profiles are the fundamental building blocks needed to make relevant predictions about future behaviors of employees, customers or potential threats.
Most solutions index data and expect you to know what you’re looking for. As a result, key information gets overlooked. Synthesys offers a smarter way by providing organizations the ability to build and configure pattern detection logic to identify key risk/performance indicators. Synthesys is now on the lookout for these patterns, proactively detecting activities of interest.
The best thing about Synthesys: Its knowledge graph gets smarter and grows with you. It never forgets. It's persistent and pervasive. Synthesys teaches itself to draw conclusions based on what you’re looking for in your data. That means, like a great employee, Synthesys becomes even more intelligent and valuable over time.
Synthesys Glance™ is a new Web application that enables analysts to interactively browse and analyze knowledge profiles of people and organizations to discover valuable patterns and relationships that were previously difficult to detect in the data. Glance provides organizations the ability to identify and respond to threats and opportunities more quickly than ever before.
Synthesys is designed to take advantage of distributed computation technologies such as Apache Hadoop and Storm; and provides distributed data storage and retrieval on multiple technologies such as Cassandra, HBase, or Accumulo. Digital Reasoning's skilled Professional Services team is ready to help you implement Synthesys at scale to achieve your mission. And our team of experienced data scientists will guide you on the journey of data-driven discovery and prediction.