Generative AI: Use cases, applications, solutions and implementation

Composite AI refers to an advanced AI approach that integrates multiple artificial intelligence (AI) technologies to create a more sophisticated, flexible, and intelligent system.

Advanced RAG builds upon the basic principles of naive RAG by incorporating more sophisticated techniques to enhance retrieval accuracy and contextual relevance.

AI-ready data refers to data that is well-prepared and structured in a manner that maximizes its effectiveness for use in artificial intelligence (AI) applications.

A multi-agent system (MAS) comprises several autonomous agents that work together to achieve specific goals.

Cloud AI services are cloud-based platforms and tools that provide users with prebuilt AI capabilities, infrastructure, and development environments.

Generative AI empowers HR professionals to concentrate on more strategic issues by automating routine tasks and offering data-driven insights.

AI TRiSM helps understand and mitigate the risks associated with AI, ensuring compliance with evolving regulations and maintaining the integrity and security of AI systems.

AI agents offer a multitude of benefits for legal document management, transforming how legal professionals handle tasks such as document review, drafting, compliance checks, and legal research.

AI agents in knowledge management are pivotal tools designed to transform how organizations handle and utilize information and expertise.

AI agents are transforming fraud detection across a multitude of industries by providing sophisticated, real-time solutions that can adapt to evolving threats

AI agents in due diligence are intelligent systems designed to assist professionals in various industries by automating due diligence tasks, analyzing data, and generating insights.

AI is significantly transforming financial reporting by automating routine tasks, enhancing accuracy, and providing real-time insights.