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Technology centered around your buying process.
GTM, powered by its leading product Luminosity, harnesses advanced AI technology to provide its vast subscriber base with an unparalleled content syndication experience. Through its reliance on cutting-edge technology, GTM ensures that millions of users can enjoy a seamless and immersive viewing experience, accessing and consuming content effortlessly through its platform.
GTM Harnesses the Power of Advanced Machine Learning Techniques: Reinforcement Learning, Bayesian Networks, Neural Networks, GANs, and Association Rule Learning. By leveraging these advanced machine learning techniques, GTM ensures that content recommendations are highly relevant, personalized, and tailored to individual subscriber preferences. This level of sophistication enhances engagement, increases content consumption, and drives qualified lead generation for businesses. GTM's commitment to staying at the forefront of machine learning advancements ensures that subscribers receive the most advanced and effective content syndication experience available in the market.
Programming languages play a crucial role in enabling GTM to leverage its vast behavior analytics and content for intent data intelligence. From the backend servers responsible for storing and processing this data to the frontend applications that enable subscribers to consume their preferred topics, programming languages are instrumental in making GTM's intent data intelligence a reality. These languages facilitate efficient data handling, analytics, and the seamless integration of data into user-facing applications, ensuring that GTM can deliver actionable insights and personalized experiences to its subscribers.
GTM utilizes Java for developing backend systems, including content management systems, recommendation engines, and data processing pipelines. Python is employed for data analysis and scientific computing within GTM's technology stack, including data processing pipelines and recommendation engines.
To manage vast amounts of data, GTM employs the Apache Cassandra database, written in Java. Cassandra is highly scalable, fault-tolerant, and ideal for large distributed systems, offering high performance and low latency.
GTM follows a microservices architecture, enabling independent development and deployment of services. This architecture grants flexibility and agility, allowing GTM to quickly adapt to new algorithms and technologies as they emerge.