CGI TextAI: Text analytics and AI platform

CGI TextAI microservices enable organizations to:

• Accelerate GenAI use while improving content efficacy of large language model (LLMs), reducing hallucinations. Users can generate content and documents with a single prompt.
• Converse using natural language understanding to ask specific questions about your documents and data, making data exploration and analysis more intuitive and efficient for all users. Organizations can create a domain specific ChatGPT. CGI TextAI simplifies data exploration and analysis, making each more intuitive and efficient for both technical and non-technical users.
• Generate automated reports, monitoring dashboards, advanced analytics, intelligent search, etc., using LLMs to unlock insights about your enterprise data.
• Cluster, classify and analyze free-text data for sentiment analysis (e.g., comments, reviews, feedback, etc.).

Key benefits:

• Democratize AI: A low-code, adaptable platform, CGI TextAI empowers both non-technical and technical users to develop custom solutions with little or no prior AI technical knowledge. Ready-made AI / ML models make it easier to solve business problems without in-depth AI experience.
• Deploy solutions faster and easier: More rapidly develop and deploy AI with pre-built AI models, ML pipelines, project templates and ready-made datasets. Implement agile and custom solutions by scaling servers up or down, making it easier to track workloads and progress. Incorporate AI faster into your organization by integrating CGI TextAI with existing tools and infrastructure through APIs and an aggregated user interface.

Accelerating regulatory content creation

For organizations looking to help users draft and manage regulatory content, where GenAI does the heavy lifting, CGI TextAI includes an AI accelerator that serves as a generative AI natural language document assistant. The accelerator’s efficiency and speed are ideal for creating initial drafts of regulatory content much faster than traditional approaches. This tool is designed for stable content generation and integration with intelligent authoring tools. Learn more.

Natural language interactions with customer data

Leveraging LLMs to make databases conversational creates exciting possibilities for natural language interactions with multiple data sources. By integrating LLMs into database systems, users can query and manipulate data using conversational language, enhancing accessibility and the user experience—contact centers are an example of where CGI TextAI could be integrated to enhance interactions.

Invoice archive digitization

A European forestry association’s archives contained hundreds of thousands of invoices. A lack of metadata or clear knowledge of invoice contents made them difficult to digitize. CGI TextAI, using AI-supported information extraction, structuring and deep learning algorithms, performed data cleaning and post processing to extract the required information from the invoices. The solution reduced employee workloads and allowed for further and more substantial data analysis. 

Sentiment analysis of free text 

Enterprises dealing with free-text field data—unstructured information entered by users, such as comments and reviews—encounter numerous challenges due to its unstructured format, making analysis complex and prone to inaccuracies. Privacy concerns further emphasize the need for advanced natural language processing (NLP) techniques for efficient extraction and handling. Addressing these issues, CGI TextAI adopts a custom-generated analytics and insights approach, leveraging ensembled NLP techniques. This powerful tool finds applications in ticketing systems and survey feedback analysis—drastically reducing processing time from weeks to mere minutes. Learn more.