Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Yeastar P-Series PBX System Reviews & Ratings
    116 Ratings
    Company Website
  • RaimaDB Reviews & Ratings
    12 Ratings
    Company Website
  • Kantata Reviews & Ratings
    2,276 Ratings
    Company Website
  • Gemini Enterprise Agent Platform Reviews & Ratings
    999 Ratings
    Company Website
  • SKU Science Reviews & Ratings
    16 Ratings
    Company Website
  • InEight Reviews & Ratings
    136 Ratings
    Company Website
  • OptiSigns Reviews & Ratings
    8,240 Ratings
    Company Website
  • CompanyCam Reviews & Ratings
    5,585 Ratings
    Company Website
  • Runn Reviews & Ratings
    37 Ratings
    Company Website
  • Martus Reviews & Ratings
    160 Ratings
    Company Website

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

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
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

Categories and Features

Decision Support

Application Development
Budgeting & Forecasting
Data Analysis
Decision Tree Analysis
Monte Carlo Simulation
Performance Metrics
Rules-Based Workflow
Sensitivity Analysis
Thematic Mapping
Version Control

Supply Chain Management

Demand Planning
Electronic Data Interchange
Import / Export Management
Inventory Management
Order Fulfillment
Order Management
Sales & Operations Planning
Shipping Management
Supplier Management
Transportation Management
Warehouse Management

Popular Alternatives

Popular Alternatives

CodeQwen Reviews & Ratings

CodeQwen

Alibaba
Kimi K2 Reviews & Ratings

Kimi K2

Moonshot AI
Qwen-7B Reviews & Ratings

Qwen-7B

Alibaba
TimesFM-3 Reviews & Ratings

TimesFM-3

Google