AI Classification Engine

Your Сhallenge:

You have large amounts of files and dark data in file servers, third party content management systems, or the Microsoft cloud, and the business is too busy to manually identify and classify important information that should be deleted, migrated, and/or governed.

Our Solution:

Infotechtion’s Autoclassification solution leverages the power of AI along with our Infotechtion knowledge and experience to analyze, enrich, and classify information automatically. We leverage:

MS trainable classifiers.
KQL classification capabilities from wordlists, regular expressions, proximity ranking, adaptive scopes location definitions.
Sensitive Information Types.
Syntex auto-classification and data extraction.
Retention Labels and Content Types from associated cloud-based retention schedule products, such as Access Corporation’s Virgo or Iron Mountain’s Policy Center.
Azure cognitive service to enhance the data with OCR, image recognitions, audio transcription, translation.

The Infotechtion Autoclassification solution provides a detailed view on what is there, what needs to be done thus helping organizations to have a clear understanding of their content and identify potential risks and take appropriate decisions. We provide structure to unstructured content that increases the value of the information helping in gaining important insights and better decision making.

Adapt and Change: Adapt and change to ever increasing and highly variable flow of content. Make content findable rather than just classified.

Transparency: Improvement of compliance, security, responsiveness, user productivity and satisfaction. Increased regulatory transparency and accountability. Provide structure to unstructured data. Data from processed documents increases the value of information helping in gaining important insights and better decision making.

Faster ROI: Quick setup and configuration. Faster, Scalable and objective allowing businesses to efficiently organize content, making it available real time. Reduced manual intervention, processing, and reviews. Reduction of litigation risks/storage costs/eDiscovery costs. It results in a lower overall total cost of ownership.