Artificial intelligence and analytics are the defining workloads of the next decade, driving disruptive innovation across the data-centric landscape, from the cloud to the edge. With the help of Moore’s Law and cloud efficiency, AI is growing beyond just the most sophisticated organizations into permeating every application.
Lisa Spelman, Corporate Vice President and General Manager, Xeon and Memory Group at Intel Corp.

The gnarly, escalating challenge that Enterprise Content Management system poses for many organizations is now much closer to being tamed. New, accessible AI techniques simplify setup, model building, integration, and training and can be mastered by non-technical users just getting started with AI. This advance marks a milestone in the evolution of AI, making tools available to a wider spectrum of users intent on extracting maximum value from the data, images, and videos that reside in a loosely coordinated mix of network repositories.

Streamlining Everyday Tasks with AI

At first glance, it may not seem obvious how AI technology can be used for everyday content management tasks, given the perception that the level of sophistication needed to create and train models has until recently limited uses to a small sliver of high-tech firms. In reality, AI offers excellent capabilities for classifying content, enriching data, employing predictive algorithms to improve decision-making, and extracting context from data to improve business intelligence.

Organizations with a large percentage of digital assets residing in legacy systems aren’t excluded from AI benefits. In fact, there are many different content management use cases that reveal opportunities for applying AI. An example from a Martech Advisor article, Welcome to the Future - How AI is Transforming Content, states, “Publicly available AI tools have already proven valuable in identifying basic and generic content attributes, such as the difference between a contract and a resume. However, AI models based on data and content specific to an organization can be immensely more valuable. So, for example, if your business needs to know the difference between a personal life insurance document and a life annuity document and automatically apply the right contract language from your legal team, this can be incorporated into a specifically trained AI model, which in turn will deliver a much more detailed classification than could ever be possible with generic AI.”

The Dashboard Tells the Story: Nuxeo Insight

Developed to reduce the onus of building AI systems that require extensive coding, Nuxeo Insight offers a dashboard-driven, step-by-step process that can be administered by customers looking for a clearcut means to enrich the value of their Content Services Platform. By identifying the context of content and refining the metadata associated with stored documents, Nuxeo Insight helps achieve beneficial business outcomes and unlocks the inherent value of content.

By enabling the Nuxeo Platform to interoperate with powerful online AI services—including Amazon Rekognition, Comprehend, Textract, Transcribe, Google vision, Google Document AI, and others— Nuxeo Insight can enhance understanding of content and make content more accessible. Classifying and categorizing diverse content, such as text-based documents, image files, digital video, audio, and more, can be accomplished through processes using AI cloud services, vastly simplifying operations with massive volumes of data. Nuxeo Insight also supports customized training and implementation of AI systems, using the dashboard UI to give customers direct control of the processes to sharpen results.

The integration of Nuxeo Insights with cloud-based AI services lets customers automate metadata generation, sending documents, images, or audio from their Content Services Platform to the cloud and then receiving enriched datasets back from the service

Real-World Examples

Consider the challenge of a brand manager for an apparel company who receives marketing content from vendors on a frequent basis, but rarely with descriptions provided. The manual process of retrieving the descriptions and then adding the data to the company tracking system typically consumes many hours. Using Nuxeo Insight, data from the company’s e-commerce library can be accessed and trained with AI to automatically fill in the descriptive information and update the tracking system.

Another example illustrating the practical application of AI services is the challenge of implementing records and retention management for large firms: deciding what records to keep, how long records should be retained, and when records should be deleted. Applying machine learning to this task can streamline this process by automatically classifying the type of content, using a rules-based model to determine retention policies, and then processing huge volumes of documents, storing them or deleting the documents as dictated by policy.

Nuxeo Insight Dashboard

The Secret to AI Success

Quoted in an article published in Document Strategy Eric Barroca, Nuxeo’s CEO, summed up the key benefit of Nuxeo Insight,

Success in AI is about more than technical talent. We believe the secret is in understanding what specific business outcome you are designing for and then being able to intelligently select the right data and content to train your model for this outcome. We believe Nuxeo Insight is a powerful tool that we can place in the hands of business users to leverage AI to create new value for their organization.

For more about Nuxeo Artificial Intelligence, visit Nuxeo Insight, our AI/ML Offering for content management.