Kumo.AI Launches Innovative Predictive AI Platform, Introducing SQL-Style Predictive Query Language
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In recent years, the rapid advancement of technology has transformed business models, with artificial intelligence becoming a core topic of discussion worldwide. Against this backdrop, Kumo.AI announced the launch of a brand-new predictive AI platform, introducing an SQL-like predictive query language. Compared to generative AI, predictive AI focuses more on forecasting future trends based on current data, capable of handling more complex and enterprise-specific tasks, though it typically lacks adaptability and scope outside its domain.
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Kumo.AI aims to address this challenge. The company's predictive AI platform enables businesses to quickly create and deploy advanced AI models. What sets this platform apart is its ability to build multiple task-specific AI models within a single day and offer enterprises a trial period to test its performance on their private data. Founded in 2021, Kumo.AI is a SaaS startup backed by Sequoia Capital and established by AI executives from companies like Airbnb, Pinterest, and LinkedIn. The founders' extensive experience and collaboration with research labs at Stanford/Dortmund University have positioned Kumo years ahead in AI technology development.
Kumo.AI's predictive AI platform utilizes Graph Neural Network (GNN) technology, empowering data scientists, analysts, developers, and business owners to create and implement highly accurate predictions in production. The company's CEO, Vanja Josifovsk, stated that their primary goal is to enable every data science team to solve customer-centric use cases faster without compromising accuracy. He also emphasized the importance of Kumo.AI building the most scalable and efficient graph learning platform by leveraging GNN technology pioneered by Stanford's Professor Jure Leskovec.
The platform utilizes deep representation learning technology to simplify the most complex and time-consuming steps in the machine learning process. By eliminating training data generation, feature engineering, feature pipelines, and feature storage, Kumo.AI has become the first platform to apply deep learning representations to enterprise data in data warehouses. At the Snowflake Summit in June this year, Kumo.AI announced the integration of its deep learning capabilities directly into the Snowflake Data Cloud through the Snowpark Container Services, maximizing data potential and eliminating the need for data movement with cutting-edge tools.
In summary, Kumo.AI is transforming the future of business applications, making predictive AI more accessible and practical for businesses of all sizes. With the launch of the new platform, Kumo has taken another step toward revolutionizing how enterprises leverage predictive AI.