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What is TimesFM-3?

TimesFM-3 is an innovative foundation model for time series analysis, distinguished by its capability to deliver highly accurate multivariate forecasts with a single forward pass. With a substantial framework of 330 million parameters, this model has been pre-trained on an extensive dataset comprising both real-world and synthetic time series information, accumulating over 1 trillion time points, which significantly bolsters its effectiveness and zero-shot generalization compared to its predecessors. It excels at simultaneously forecasting multiple coevolving time series while effectively recognizing dependencies that enhance predictive accuracy without necessitating task-specific fine-tuning. Additionally, it is designed to handle various forecasting objectives, including point and quantile predictions, and takes into account both historical covariates and dynamic covariates related to future scenarios, such as planned promotions, holidays, or shifts in weather. Employing a decoder-only transformer architecture, TimesFM-3 adeptly processes sequential data in chunks of 32 time steps, utilizing alternating causal temporal attention and full variate attention to seamlessly weave together patterns across time and interconnected series. As a result, this model serves as a powerful resource for forecasting intricate, time-dependent phenomena across diverse applications, making it a significant advancement in the field of time series forecasting. Its versatility and precision open up new avenues for exploration and application in various domains.

What is Dominate?

Gain a competitive edge and maintain a leading position against rivals by utilizing an innovative automated system that interprets various data sources for actionable insights. Our time series forecasting tool, Dominate, rigorously analyzes economic indicators, global market trends, media dynamics, and other relevant data to enhance supply chain management and predict possible future scenarios. This cutting-edge approach to data analysis has proven effective in some of the most complex environments around the globe. By leveraging artificial intelligence and machine learning, we tap into the connections between extensive data components to significantly influence your outcomes. Our sophisticated multi-step, multi-factor, multi-target autoregressive models can deliver precise predictions for a range of values and adapt them as required. Dominate instills confidence in navigating circumstances to reveal unexpected insights and formulate revolutionary strategies. Additionally, our tensor completion technique proficiently addresses issues with flawed and incomplete data while offering time-series forecasting, alert notifications, and impact evaluations. Ultimately, this powerful capability equips organizations to effectively traverse uncertainty and make empowered, well-informed choices. In today’s fast-paced market, embracing such advanced solutions is essential for sustained success and growth.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

research.google/blog/timesfm-3-a-zero-shot-foundation-model-for-multivariate-forecasting/

Company Facts

Organization Name

BigBear.ai

Company Location

United States

Company Website

bigbear.ai/solutions/supply-chain-management/dominate/

Categories and Features

AI Models

Not specified

Foundation Models

Not specified

Categories and Features

Decision Intelligence

Not specified

Decision Support

Not specified

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