Your customers have big data issues, and they’re looking to software vendors to help them solve these issues. Whether your software is designed for archiving, collaboration, content management, CRM/social media or compliance – it’s getting harder for enterprises to sort through all their unstructured data.
Listen to the pre-recorded webcast to hear and see examples from SIIA member Content Analyst of where content-aware advanced analytics is being applied within software products to address the issues of big data, and learn the advanced analytics secrets held by dozens of software companies in legal, eDiscovery and US Intelligence for years. This webinar addresses these questions and more:
- How and why are software companies embedding concept-aware text analytics engines into their products to bring order to the chaos of big data in a highly automated, consistent and defensible way?
- Can these engines really synthetically transfer human knowledge to large unstructured data collections to precisely and accurately classify big data for reduction, organization, analysis and findability?
- Can a machine be taught to conceptually understand specific categories and apply those categories to each piece of unstructured content with a much higher level of precision than a human, and in any language?
Presenters
John Falehi
Chief Strategy Officer, Content Analyst
Steven Toole
Vice President of Marketing, Content Analyst
Click here to view a copy of Content Analyst’s slides.
Name: Mark Cuningham