ibml announces today the launch of a cloud-native SaaS platform which enables enterprises to intelligently capture, process and manage content from any source using an on-demand scalable ‘pay for what you need’ pricing model based on document volumes and features used.
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The new ibml Cloud Capture platform is a unique system designed to provide document process automation in one single modern unified environment, enabling customers to accelerate digital transformation by simplifying data capture from numerous business systems. Flexibility is also provided by enabling remote work to happen in a secure environment.
Martin Birch, CEO of ibml explains, ‘’We are excited to bring to the market an innovative platform that combines data capture powered by machine learning, Robotic Process Automation and Content Services that together will help our customers accelerate their digital transformation journey”
According to Gartner, cloud adoption is now considered mainstream with organizations rapidly increasing their reliance on cloud technologies. The worldwide public cloud services market is forecast to grow over 80% by 2022 to total $354.6 billion, up from $196.7 billion in 2018. Cloud application services [SaaS] are by far the largest segment of this with IT teams rushing to embrace cloud-built applications and relocate existing digital assets.
ibml Cloud Capture allows enterprises to escape from the historical lock-in of traditional capture and ECM systems characterized by high total cost of ownership with content and meta data mixed with proprietary APIs and databases. These systems are architected using older technologies resulting in expensive and lengthy upgrade cycles.
ibml Cloud Capture is the total opposite. Taking just days to implement, customers own their data, no proprietary formats are required, and integration is therefore seamless with any line of business application. The platform helps drive digital transformation by handling all types of forms and documents including unstructured, semi-structured and structured content and allowing scalability as required.
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