Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Organizations allocate substantial budgets each year to manage extensive cloud data, yet they typically utilize only a small portion for forecasting purposes. Kumo empowers these companies to tap into the complete capabilities of their enterprise data, facilitating quicker, more straightforward, and more intelligent predictions. While traditional SQL queries focus on historical data, Kumo allows users to explore future possibilities. Standard enterprise AI approaches often treat each predictive analysis in isolation. In contrast, enterprise data is a vibrant, interconnected network of business relationships, customer interactions, transactions, and beyond. By harnessing the interconnectivity of this data, Kumo fosters a significant advancement in AI technology. Its cutting-edge graph learning capabilities yield significantly improved accuracy, even with substantially less training data. Transition effortlessly from raw data at the storage level to producing reliable predictions over time. Remarkably, Kumo can analyze extensive databases in mere minutes rather than the usual hours or days, enhancing efficiency in data-driven decision-making. This innovation not only streamlines the prediction process but also empowers businesses to leverage their data like never before.
Description
Nixtla is a cutting-edge platform designed for time-series forecasting and anomaly detection, centered on its innovative model, TimeGPT, which is recognized as the first generative AI foundation model tailored for time-series information. This model has been trained on an extensive dataset comprising over 100 billion data points across various sectors, including retail, energy, finance, IoT, healthcare, weather, and web traffic, enabling it to make precise zero-shot predictions for numerous applications. Users can effortlessly generate forecasts or identify anomalies in their data with just a few lines of code through the provided Python SDK, even when dealing with irregular or sparse time series, and without the need to construct or train models from the ground up. TimeGPT also boasts advanced capabilities such as accommodating external factors (like events and pricing), enabling simultaneous forecasting of multiple time series, employing custom loss functions, conducting cross-validation, providing prediction intervals, and allowing fine-tuning on specific datasets. This versatility makes Nixtla an invaluable tool for professionals seeking to enhance their time-series analysis and forecasting accuracy.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Databricks
Google Analytics
Google Cloud Platform
Google Sheets
Microsoft Azure
Microsoft Excel
Python
R
Snowflake
Integrations
Amazon Web Services (AWS)
Databricks
Google Analytics
Google Cloud Platform
Google Sheets
Microsoft Azure
Microsoft Excel
Python
R
Snowflake
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Kumo
Country
United States
Website
kumo.ai/
Vendor Details
Company Name
Nixtla
Founded
2021
Country
United States
Website
www.nixtla.io
Product Features
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
Product Features
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis