Generative AI: Use cases, applications, solutions and implementation

Explore how generative AI in contract management enhances efficiency, streamlines workflows, and drives better business outcomes across various industries.

Generative AI transforms market research and intelligence by streamlining data analysis and enhancing decision-making processes.

Integrating generative AI into recruitment and talent acquisition can take different forms, each offering unique benefits based on a company’s resources, needs, and goals.

Generative AI is set to transform the landscape of customer success, offering matchless capabilities in streamlining operations and enhancing customer engagement.

The integration of generative AI in healthcare is more than just a technological upgrade—it’s a pivotal transformation in how care is delivered and managed.

Generative AI significantly impacts internal audit practices by enhancing risk evaluation, monitoring compliance, and boosting operational efficiency.

Generative AI improves customer experiences by offering personalized services that boost guest loyalty and satisfaction.

Decision Intelligence (DI) is a data-driven approach to decision-making that leverages advanced analytics, machine learning, and artificial intelligence (AI) to empower organizations with actionable insights.

AI creating AI” through AutoML is transforming the field, expanding beyond human-led processes to make AI development more accessible and efficient.

Structured outputs in large language models (LLMs) refer to the ability of these models to generate responses in specific, predefined formats rather than just free-form text.

Causal AI is a branch of artificial intelligence focused on understanding and determining cause-and-effect relationships rather than merely identifying patterns or correlations.

ReACT and function calling agents represent two distinct but powerful approaches to extending the capabilities of LLMs, each with its own strengths and weaknesses.