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AI-driven Content Advisorfrom OpenText Magellan

Increase the value of enterprise content, improve efficiency and streamline risk management

See how to Increase the value of enterprise content with AI-driven Content Advisor from OpenText™ Magellan™

What is AI-driven content advisor?

AI-driven content advisor is an AI solution that uses machine-learning to leverage the context of unstructured data, categorize information and trigger processes efficiently. Leveraging artificial intelligence (AI), it automates knowledge classification while mitigating risk, supporting data governance and creating greater efficiency and productivity for knowledge workers.

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Why AI-driven content advisor?

  • Vital enterprise knowledge is hidden in unstructured data

    71 percent of enterprises say their unstructured data is growing faster than other business data, making it increasingly difficult to harness the true value of textual information. With AI, companies can increase the value of their content and drive twice the business value from their analytics investments.1

  • Categorizing high-value documents is tedious

    Manual categorization is time consuming and error prone but remains essential for regulatory audits, content migration and risk management. AI helps companies manage enterprise data effectively to detect and prevent loopholes that can translate into approximately $200 million in noncompliant spend.2

  • Too much time is spent on document-related tasks

    To improve efficiency, enterprises need to regain control over content. Automating content assessment and leveraging AI to take or guide action based on insights derived from content helps improve productivity while mitigating risks.

  • By 2022, more than 60% of organizations will use artificial intelligence (AI) driven metadata tagging, boosting digital dexterity through improved delivery of insight, according to Gartner.
     View the infographic (PDF)

Solution overview

AI-driven Content Advisor from OpenText™ Magellan™ maximizes the value of enterprise content across repositories by leveraging advanced text analytics capable of supporting multiple languages, complex concepts and intention processing at scale. Organizations can achieve intelligent automation for streamlined workflows using alerts to take the best action at the right time with application integrations.

User interfaces of the AI-Driven Content Advisor from OpenText Magellan platform
AI-driven Content Advisor increases the value of enterprise content through intelligent automation, smarter content migrations and more effective privacy management

AI-driven Content Advisor from OpenText Magellan at work

A global technology company’s customer service department relies on its website’s “Contact us” to collect customer inquiries and feedback. The company must quickly capture and act upon these inquiries--ranging from meeting requests to user questions to complaints--that could put it at risk if not answered in a timely manner.

To do this, the company must quickly glean the nature of each contact form submitted to process it in the correct priority. AI-driven Content Advisor leverages advanced text analytics to recognize the nature of each submission, replacing the tedious and error-prone task of reading and sorting forms manually. The software is trained to identify entities and concepts related to each type of submission and categorize it accordingly. Once categorized, the submissions can be assigned a priority score that triggers a timely workflow to handle priority forms in the most efficient and compliant manner.

Featured components

AI-driven Content Advisor from OpenText Magellan is based on select components of Magellan, a flexible AI data analytics platform, and OpenText Professional Services:

OpenText Professional Services:
Al & Analytics Services

The OpenText™ Magellan™ Professional Services team includes data scientists and experts on application machine learning, text mining and algorithms in data analytics scenarios.

They have a deep expertise with Magellan and analytics technologies and are experienced working with organizations across many industries to glean insight from their data.

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