Search results for Kumo AI
AI & Enterprise
From TFM to CEM, AI models different from LLMs are arriving
AI companies are increasingly betting on models that operate differently from large language models, including tabular foundation models for structured data prediction, decision-focused models that output choices and probabilities, and code execution models that optimise running programs autonomously. Gartner flagged large quantitative models as a key 2027 keyword. SAP and Nvidia have moved into TFM. Decision model competition has expanded to major firms. Nvidia-backed DoubleAI is also drawing attention with CEM technology.
AI & Enterprise
Nvidia unveils Kumo Tabular open-source foundation model for tabular data prediction
Nvidia has released Kumo Tabular, an open foundation model for predicting tabular data, on the open-source AI model-sharing platform Hugging Face. The model reads tables with answers and predicts values for rows with blank entries without additional training, tuning or feature engineering, supporting both classification and regression. Nvidia said three versions are offered, and that it ranked first across four benchmarks.
AI & Enterprise
Context before models as agentic OS race intensifies
Competition is intensifying over platforms that optimise multiple AI models with internal corporate data so AI can better understand organisations and execute tasks. Enterprise software companies are treating such platforms, which help AI grasp corporate context and play an operating system role, as strategically important. Microsoft, Snowflake, Adobe and SAP have highlighted products and strategies focused on context layers, governance and services for AI agents, while interest also rises in PCs and chips running AI locally.
