Generative AI represents the forefront of artificial intelligence, transforming how businesses create, analyze, and deploy data-driven solutions
This task involves sourcing relevant information from vast databases, be it structured or unstructured data or knowledge repositories. It employs advanced algorithms to efficiently locate and extract data that meets specific user queries, enabling quick access to pertinent information.
Content generation focuses on creating new text, images, or multimedia elements based on user inputs or predefined parameters. This task leverages natural language processing and machine learning techniques to produce human-like outputs, enhancing creative processes and automating content creation.
Text translation is the process of converting written content from one language to another while maintaining context, tone, and meaning. Utilizing machine learning models trained on multilingual datasets, this task facilitates seamless communication across different languages, supporting global interactions and understanding.
Language processing encompasses a variety of tasks aimed at understanding, analyzing, and interpreting human language. This includes sentiment analysis, summarization, and text classification, all of which are crucial for extracting insights and making data-driven decisions in applications ranging from customer service to market research.
An AI for BI solution that fast tracks industry and functional insights and root cause analysis from siloed sources for business stakeholders
Identification of most relevant content from a suit of documents linked with a list of other documents based on the user query
Capability enabling personalized touchpoints across marketing, support and customer relationship
A unified platform to extract and standardize ESG data and enable insights to support green decisioning.
Dynamic Information validation for efficient onboarding processes