Enterprise leaders have long awaited the potential information management benefits of artificial intelligence (AI). Machine learning, natural language processing, and other AI-based technologies are already helping companies by automating the classification of files and simplifying the way employees engage with content. But the real promise of AI goes beyond just helping organizations classify content during the capture or ingestion process – it lies somewhere in the “digital landfill” that exists within modern organizations.
The New Year to-do list for an SMB owner can be daunting. No doubt you’re thinking about myriad administrative and organizational needs relating to accounting and finance, staffing, your product and service roadmap for the year and more. In the course of all this productive planning, and as you look to build stronger relationships that drive ROI in 2019, consider how you’re responding to customer information.
Truck Country evolves from MFP-based document capture to a tightly integrated digital document management solution featuring Alaris Scanners in 20+ remote locations.
For nearly 30 years, companies have been trying to eliminate manual processes and go paperless with the use of machine learning (ML) and natural language processing (NLP) technologies. Recently, there’s been a renewed interest in these technologies with the emergence and rapid deployment of robotic process automation (RPA) technology
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SentryOne announced the release of CloudLifter, a product suite that simplifies and de-risks migrating SQL Server databases to hosted cloud services. SentryOne CloudLifter includes solutions for re-architecting databases, validating data, and ensuring optimal data delivery before and after the migration
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