Generative AI: Use cases, applications, solutions and implementation

AI visual search technology allows users to search for information using images rather than text-based queries.

An AI-based price engine is a pricing tool or system that leverages artificial intelligence and machine learning techniques to make pricing decisions and recommendations.

Llama 2, as a member of the Llama family of LLMs, not only aligns with the technical prowess of contemporaries like GPT-3 and PaLM 2 but also introduces several groundbreaking innovations.

LlamaIndex, previously known as the GPT Index, is an innovative data framework specially designed to support LLM-based application development. It offers an advanced framework that empowers developers to integrate diverse data sources with large language models.

AI in risk management impacts how businesses approach risk mitigation with its remarkable ability to process vast volumes of data, extract patterns, and make predictive analyses.

AI-driven analysis automatically aggregates, assesses, and categorizes customer complaints, promptly directing them to the appropriate team member.

Generative AI plays a pivotal role in compliance by automating tasks, improving accuracy, and enhancing overall efficiency.

AI’s capability to analyze large volumes of data, identify anomalies, and adapt to evolving fraud tactics makes it a formidable ally in the fight against fraud.

Cybersecurity refers to the comprehensive practice of safeguarding devices interconnected through the internet, including the protection of hardware, software, and data from malicious cyber threats.

AI-powered solutions are gradually transforming the real estate industry by simplifying and expediting complex processes, ultimately boosting work efficiency across various roles, including sellers, brokers, asset managers, and investors.

Generative AI is reshaping the automotive landscape, infusing vehicles with intelligence and creating personalized driving experiences that adapt to individual preferences and needs.

Artificial Intelligence plays a significant and diverse role in fuel distribution control, altering how the entire process is handled.