Content intelligence – automation and insights for all

2020 has accelerated digital transformation across industries and businesses. Don’t miss out on advanced technologies such as content intelligence.


Many organizations shifted to remote-working models overnight, early in the pandemic – which often required the adhoc digitization of processes and related artifacts. Thus, cleanup efforts are part of the 2021 priorities, to transform resulting bricolage into sustainable solutions. But don’t be mistaken: The uptick in the use of digital, caused by the worldwide pandemic, is here to stay; the migration to digital technologies continues well into the recovery. Digital laggards will struggle to remain competitive and to differentiate.

As the demand for automation is a key accelerator to digital transformation, it will likewise increase further in 2021 and beyond. What can be automated will be automated, by combining advanced technologies like artificial intelligence (AI), machine learning, robotic process automation (RPA) and advanced analytics. Gartner calls this trend hyperautomation – as it proves to have a significantly higher impact than traditional automation capabilities.

This process already affects content generation – for instance in customer service, as with chatbots. The importance of transparency and ethical integrity in this context shouldn’t be underestimated, even more so in the face of predictions for this trend to spread to areas such as medical or legal advice.

Content intelligence can’t be ignored any longer

To counteract the acceleration of the information chaos, organizations should consider leveraging and orchestrating content intelligence capabilities. To lighten dark data and for amplifying the value of corresponding content resources, content intelligence tackles the information chaos at its origin, making information more easily searchable, widely accessible, and enriched with context.

Crucial for this evolution: the unbroken progress in AI and Natural Language Processing (NLP). It’s paving the way for a broad range of smart capabilities, targeted on content-centric, cognitive tasks. Tools providing organizations with self-service access to such content intelligence are on the rise – and become more and more affordable.

All in all, content-centric operations face a year 2021 of unprecedented automation when it comes to cognitive tasks along the entire content lifecycle, leveraging and orchestrating a variety of increasingly powerful capabilities: 

  • Intelligent data capture
  • Automated tagging, classification and enrichment
  • Automated text summarization
  • Automated text generation
  • Data and information extraction
  • Machine translation (MT)
  • Conversational AI
  • Analytics supporting data-driven decision making
  • And many more to come.

Content intelligence is – beyond all pandemic influences – a key strategy that makes content understand itself. Looking at all the available, accessible, and affordable smart capabilities it offers, it belongs on every digital agenda over the years to come.

Published on    Last updated on 10/02/2021

#Digital Workplace, #Content Management, #Artificial Intelligence

About the author

Markus Welsch is Vice President Content Intelligence and Chief Solution Architect at Amplexor. He is based in Luxembourg. During his more than 20 years within the Amplexor group, he contributed in different roles and positions to the design, architecture, implementation and operation of numerous challenging, multilingual content and information management solutions for customers in different industries. In his current positions, Markus is responsible for managing a comprehensive portfolio of smart solutions that combine the speed, scale and power of machines with a human-like approach.