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
Transform your equipment data to competitive advantage. This technology is used on more than 1 million assets. The most advanced predictive operations technology is available to power your continuous improvement. The production environment of today is more complex and interconnected than ever before. Your plant floor generates an inordinate amount of data, from increasingly sophisticated PLC technology to the ever-expanding IIoT world. It can be difficult to distinguish the meaningful information from the noise when there is so much information coming in from business, supply chain, and financial systems. TwinThread enables you to transform data from any source into actionable and impactful positive results. Our predictive operations platform was built from the ground up to increase operational efficiency, reduce costs, improve consistency, and increase throughput. As bold as it sounds, our mission is to achieve 100% plant efficiency.
API Access
Has API
API Access
Has API
Integrations
Active Directory
Jupyter Notebook
Microsoft Power BI
Snowflake Cortex AI
Tableau
Integrations
Active Directory
Jupyter Notebook
Microsoft Power BI
Snowflake Cortex AI
Tableau
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$200 per month
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
TwinThread
Country
United States
Website
www.twinthread.com
Product Features
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
Product Features
Fleet Management
Dispatch Management
Employee Management
Fuel Management
GPS Tracking
Incident Reporting
Inspection Management
Inventory Management
Maintenance Management
Mileage Tracking
Motor Pool
Routing
Tire Management
VIN Lookup
Work Order Management
Manufacturing
Accounting Integration
ERP
MES
MRP
Maintenance Management
Purchase Order Management
Quality Management
Quotes/Estimates
Reporting/Analytics
Safety Management
Shipping Management
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis