Introducing Synthesys From Digital Reasoning: Automated Understanding for Big Data

Big Data presents many large opportunities and challenges because the majority of this data is unstructured. In order to take advantage of this information, agencies need an approach that understands data within context and automates that understanding efficiently at scale. Unfortunately, the current approaches to analyzing Big Data, such as extracting entities, graphing trends, and force-fitting data into fixed ontologies, result in a waste of human capital, produce outdated results, and miss critical, contextual information. Regardless, none of these approaches even begin to address the pressing issue of scale; therefore a new approach is needed – a platform that is modeled after the human understanding process.

Join us to learn about Synthesys from Digital Reasoning, a software platform developed to solve these problems. It's modeled after the human understanding process: read, resolve, reason. Knowledge is automatically distilled, in context, from unprecedented amounts of unstructured data, which may then be queried by various applications and decision makers.

This webcast will explain:

• How Synthesys works to reduce costs and increase automation
• Entity-centric vs. document-centric analytics
• How Synthesys can be “taught” new languages and data domains
• Synthesys’ integration with Hadoop and Cassandra/HBase/Cloudbase for extreme scale
• The analytics of unstructured and structured data combined
• Synthesys uses cases, including a live demonstration

Sign up now, or click here to register for future access to the archived recording.

Sincerely,

Elizabeth Heinz
Digital Reasoning Government at Carahsoft
703-871-8622 (Direct)
888-662-2724 (Toll-Free)
elizabeth.heinz@carahsoft.com  
www.carahsoft.com/digitalreasoning