Webinar: 5 Key Factors for Document Automation PoC Success

When:  Oct 16, 2019 from 2:00 PM to 2:45 PM (ET)

When you think about ALL of the information that’s swirling around your organization, would you be surprised to learn that a full 60% of it is unstructured? That's all the information contained in email messages, documents, text messages, etc. that doesn't fit tidily in a database and doesn't have a pre-defined form. That's the "stuff" that keeps growing in volume, velocity, and variety to create information chaos in businesses today.

It’s no wonder then that organizations like yours are missing key opportunities to turn valuable sources of insight into process efficiency and value. Enterprises with large volumes of information are particularly struggling to harness the value of textual data while engaging in manual, time-consuming, and error-prone processes that can waste as much as a quarter of a team’s time.

How can you help your organization to minimize this? By tuning in to our 45-minute webinar where you’ll:

  • Learn how advanced text analytics and machine learning intelligently capture information by taking its context into consideration, classifying volumes of data, and improving content-based processes to eliminate unnecessary manual tasks and increase the value of your enterprise content
  • Find out how to optimize enterprise correspondence at scale by leveraging intelligent prioritization and classification of content
  • Explore how using a combination of an enterprise intelligent capture solution, analytics, and artificial intelligence (AI) platforms can transform and automate many operational processes
  • Discover how machine-reading and analytics-enable chatbots can capture knowledge and respond to a 24/7 customer service demand

We’ll show how to get more out of your existing content with Artificial Intelligence in very achievable ways. Overcome information chaos and empower your digital transformation journey today.

This webinar is approved for 1.0 hour of CIP Maintenance Credits.


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Theresa Resek