Deploy AI-driven applications to deliver seamless, interactive experiences revolutionized by advanced AI and intuitive natural language search.
Streaming platforms leverage AI to deliver contextualized content recommendations and dynamic, interactive experiences, significantly enriching viewer engagement.
Data Graphs connects user behavior with relevant assets to deliver hyper-personalized content recommendations, optimizing streaming experiences and driving superior engagement and retention.
A streaming service leverages Data Graphs to deliver AI-driven recommendations, offering personalized content based on viewing history and preferences while incorporating interactive elements.
E-commerce platforms leverage AI to personalize product recommendations, enhance customer experiences, and optimize pricing strategies.
Data Graphs integrates product data, user preferences, and purchase history to deliver personalized recommendations and enable dynamic pricing automation, driving increased sales and enhanced customer satisfaction.
An e-commerce platform can leverage Data Graphs for AI-driven product recommendations, precisely tailored to each user's preferences and behavior, ultimately boosting sales.
Healthcare organizations leverage AI to enhance patient care, optimize operations, and improve the accuracy of clinical decision-making.
Data Graphs integrates clinical data, patient records, and medical literature to drive AI-powered solutions, enabling personalized treatment plans, risk identification, and automation of routine tasks.
A healthcare provider uses Data Graphs to analyze patient data, deliver personalized treatment recommendations, and proactively identify potential complications.
Utilize natural language search across various applications and data sources to streamline and transform data discovery.
Data Graphs interprets natural language queries, connecting diverse data sources (DAMs, MAMs, PIMs, documents, wikis, databases) to deliver relevant results.
A search query such as "classic Westerns pre-1960 vs. post-1970" returns relevant videos, trailers, synopses, and credits, providing a comprehensive view.
Semantic search greatly enhances large enterprises by delivering context-aware results across documents, customer data, product assets, and project files, thereby improving decision-making and productivity.
Data Graphs organize and enhance knowledge base content, enabling powerful semantic search. Its AI understands natural language and provides highly relevant answers.
A retail company can leverage Data Graphs to optimize its knowledge hub, allowing employees and customers to easily find accurate product information, leading to improved customer satisfaction and reduced support time.