Text Analytics – a branch of Artificial Intelligence dealing with digital content – can both automate or augment labor-intensive human processes for large-volume or high-velocity data.
Automation is expected where data needs to be triaged – transformed, summarized, classified – and where our state-of-the-art AI technology can replicate human cognitive tasks with high-quality output and high speed while maintaining data security and output predictability.
Augmentation is where human intelligence still needs to play a critical role in the decision process. AI acts as an enabler resulting in high-productivity activities.
Choose your AI Automation or Augmentation path:
Data Triage
Organizing and extracting meaning from large data sets of multilingual unstructured data: PII identification (compliance), data intelligence for security & cybersecurity, open source
intelligence, reputation management, competition monitoring.
Process Automation
Combining RPA & AI to achieve
hyperautomation ”: automating
business processes where text & documents are involved, and where humans need to read, understand, summarize and take decision cognitive
tasks are replaced or complemented by AI.
Knowledge Management
Knowledge bases become intelligent by organizing
themselves through AI processing, making interaction with business users easier throug natural conversations : document management, customer support, business operations.