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GA Announcement of Snowpark Container Services and Full Integration into the Snowflake Native App Framework
11/13/2024

GA Announcement of Snowpark Container Services and Full Integration into the Snowflake Native App Framework

Since its introduction in 2022, the Snowflake Native App Framework has provided a secure and cost-effective way to build and distribute data and AI products that seamlessly integrate with Snowflake. This platform allowed Kumo AI to invest in allowing our customers to deploy Kumo alongside their Snowflake data easily and securely. Now, Snowpark Container Services […]

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Yieldmo improves ad relevance by 15% using Kumo AI predictions
10/10/2024

Yieldmo improves ad relevance by 15% using Kumo AI predictions

Introduction Recently our team had the pleasure of sitting down with Sergei Izrailev, Head of Analytics and Data Science and Mahdi Sadjadi, Principal Data Scientist at Yieldmo to discuss their experience, implementation and the value gained using Kumo AI to facilitate predictions for their ad platform. Yieldmo is a digital advertising platform that helps brands invent […]

advertising customer success recommendations Snowflake
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The Future of AutoML in the Generative AI era
10/09/2024

The Future of AutoML in the Generative AI era

“Our Head of Product recently served as a panelist in a webinar where they discussed how Generative AI (GenAI) is poised to revolutionize machine learning. To learn more about this topic, be sure to check out their blog!”

AI autoML GenAI
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Kumo AI Wins 2024 A.I. Award for Most Innovative AI Technology
10/08/2024

Kumo AI Wins 2024 A.I. Award for Most Innovative AI Technology

“Kumo AI’s impact on operational efficiency and data science automation is nothing short of ground-breaking.” Lead Judge, Maneet Bansal

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Do Large Language Models make accurate personalized recommendations?
09/26/2024

Do Large Language Models make accurate personalized recommendations?

Adding Large Language Models to Kumo’s Graph Transformer for Improved Recommendations by Zecheng Zhang, Alan Krumholz, Vid Kocijan, Matthias Fey, Jure Leskovec Kumo is an AI for quickly building highly accurate predictive models using the entirety of the data warehouse: multiple tables, both structured and unstructured. Kumo uses embedding tuning to uniquely combine pre-trained large […]

GloVe Graph transformer HuggingFace LLM recommendations
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Kumo AI + Databricks: Revolutionizing Predictive Modeling with GNNs and LLMs
09/23/2024

Kumo AI + Databricks: Revolutionizing Predictive Modeling with GNNs and LLMs

Kumo AI, through seamless integration with Databricks Unity Catalog, accelerates predictive model generation to produce accurate and actionable insights for various business applications.

databricks GNN LLM partnership
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Build a Personalized Chatbot Powered by Kumo AI Embeddings and Predictions
09/20/2024

Build a Personalized Chatbot Powered by Kumo AI Embeddings and Predictions

by Naisha Agarwal Follow along in my video and learn more about how Kumo AI can power chatbots to improve predictions. Motivation Imagine you are a user entering a store, looking for items to purchase. Having a personal assistant that can give you customized real-time recommendations for how to find the best item given their […]

chatbot demo embeddings
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Kick-off Kumo in Snowflake with Smarter Product Recommendations via Snowflake Solution Center
09/13/2024

Kick-off Kumo in Snowflake with Smarter Product Recommendations via Snowflake Solution Center

Improve average order size with targeted product recommendations by Zach Drach In today’s digital landscape, where information overload and choice paralysis are the norm, recommendation systems are pivotal in guiding users toward the most relevant content. These systems provide a more personalized customer experience, improving consumer happiness and your bottom line.  Used by retailers, media, […]

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Uncovering Anomalies: How Kumo AI uses Graph Machine Learning for Advanced Fraud Detection
09/12/2024

Uncovering Anomalies: How Kumo AI uses Graph Machine Learning for Advanced Fraud Detection

Explore how Kumo can be used to achieve state of the art performance on a financial anomaly detection dataset by employing an advanced graph transformer model that captures the nuanced patterns and relationships within the dataset.

Anomaly Detection Fraud Detection Machine Learning
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Why Are Shallow Embeddings Important in Recommendations?
09/09/2024

Why Are Shallow Embeddings Important in Recommendations?

Shallow embeddings play a key role in creating highly accurate recommendation systems. This blog covers shallow and deep embeddings, their purposes, and powers.

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