LONDON - Sept. 19, 2024 - PRLog -- Generis, creator of the cloud data, content and business process management platform CARA™ announced the addition of cutting-edge Artificial Intelligence (AI) technologies to CARA in order to empower their customers to harness next-gen capabilities to improve and streamline their processes. This move is supported by their partners Deloitte and John Snow Labs and their work with AWS.

In a rapidly evolving global market, Generis' latest AI innovations stand as a testament to the company's dedication to advancing operational efficiency, compliance, and innovation. By integrating advanced AI solutions, Generis aims to streamline and enhance a wide range of processes, positioning itself as a critical partner for companies navigating the complexities of data and document management in highly regulated industries.

AI Innovations Transforming Industry Standards

Generis is unveiling a suite of AI-powered features, key innovations include:

• Document Classification and Metadata Enhancement: Leveraging AI, CARA can automatically classify documents and enrich metadata during the import process, significantly improving the searchability and management of both migrated and legacy content.
• Automated Data Extraction and Translation: AI technologies enable the extraction of critical information from documents during ingestion, such as questions from Health Authority Correspondence, and facilitate automatic translation of content and metadata, thereby supporting global operations.
• AI-Driven Document Summaries and Content Querying: Users can generate summaries of documents, making it easier to discern key differences and relevance. Additionally, a natural language chatbot enables users to query document contents, enhancing the ability to quickly extract vital information without manual reading.
• Content Generation and Monitoring: Utilising GenAI to create content such as labelling, safety reports, and clinical protocols, seamlessly integrating data with natural language to form comprehensive documents. Moreover, AI-driven monitoring tools alert users to unusual system behaviours and forecast activities based on historical data, improving both security and operational efficiency.