Intelligent Workflows

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Intelligent Workflow

AI-Learning That Predicts and Builds the Best Workflow

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What We OfferIntelligent Workflows

In a recent Common Sense Advisory (CSA) article, the organization encouraged commercial software vendors to take steps toward “agilizing workflow.” Lingotek is already there.

Lingotek has been using next-generation technology and AI with machine learning to detect the time, quality, and resource requirements needed for each content type. Automated, agilized workflows are able to determine which combination of machine and human resources is best to optimize quality and accuracy, reduce time-to-market with faster delivery, and to maintain a consistent brand voice, all while respecting customer cost requirements.

Enterprises that use several content management systems (CMS) and language services providers (LSPs) need agile tools to automate processes and Lingotek is one of the few translation software vendors to innovate in the space.

How It Works

Lingotek’s Intelligent Workflows include phase automation, dynamic scheduling, and active monitoring. Lingotek has created a workflow prediction engine that can predict the appropriate workflow for newly imported content.

The algorithm gathers metadata such as due date, department, word count, content type, author, etc. and then makes a prediction using its machine learning to automatically create the optimal workflow. It will take into consideration which LSPs are available, content value, the translation levels--standard MT,  MT + post edit, or professional--based on content type. Active monitoring identifies which steps can be added (or skipped) to meet the desired deadlines.

Intelligent Workflows

Phase Automation

Phase automation intelligently builds the appropriate workflow to meet the project due date, without sacrificing quality. Active monitoring uses AI-like business rules to recognize how much content needs to be translated and to adjust workflows as needed to meet necessary deadlines. It can skip steps to ensure faster delivery, or add steps if the project is ahead of schedule.

Dynamic Scheduling

Dynamic scheduling calculates due dates for each phase of the workflow, based on the time available to complete each step in the workflow; and automatically assigns the appropriate teams and/or individuals based on content type and language.

This type of AI enables more efficient project management, because the software identifies and builds the best workflow based on specific criteria without the need for human interaction. Without AI, workflows require project managers and customers to provide domain knowledge manually to construct and curate every possible outcome.

Active Monitoring

Intelligent Workflows reduce the need for project managers to perform routine, automated tasks. Instead, they can use that time for solving problems that AI can’t solve.

When you implement better process automation, that leaves time for project managers to perform tasks that are more valuable to the organization, such as problem solving and responding to urgent issues. They can focus their time on exception management, not on tasks that can easily be automated.

  • Benefits of Lingotek’s AI-Driven Intelligent Workflows
  • Improve efficiency
  • Automate processes
  • Dynamic scheduling
  • Improve average time to market of your content
  • Shorten project management time
  • Reduce human error
  • Increase on-time deliveries (Especially key for critical market launches)

 

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