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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Insights Hub propels the future of smart manufacturing through the capabilities of the industrial Internet of Things (IIoT). By harnessing asset and operational data, organizations can derive actionable insights that significantly enhance their processes. Leveraging industrial IoT data allows for the implementation of dependable asset monitoring, boosts manufacturing performance and efficiency, and facilitates the prediction of quality, among various other benefits. With data-driven insights, businesses can make more informed operational and strategic decisions. By connecting assets to the cloud, users can gather and analyze their data, ultimately refining their IoT strategies. This approach unlocks a treasure trove of insights, enabling the use of advanced analytic tools to gain a deeper understanding of processes and drive improvements. The transformation of business operations, processes, and products on a larger scale can lead to a distinct competitive edge, cost reductions, and enhanced quality throughout the product lifecycle and supply chain. As a result, this innovation reshapes the landscape of smart manufacturing and operations, establishing new benchmarks for productivity and sustainability while paving the way for future advancements. The journey towards a smarter manufacturing ecosystem continues to evolve, offering endless possibilities for growth and efficiency.

Description

ThinkIQ utilizes cutting-edge vision technology and AI to uncover blind spots in ways that are unparalleled. Their Semantic Model and Material Ledger transform raw supplier data into standardized and contextualized information that is genuinely actionable, spanning from components to delivery. Additionally, the NextGen Historian captures data trends over time, and through AI analysis, it exposes hidden patterns that offer even deeper insights. The five-step approach provided by ThinkIQ enables virtually any manufacturer to progress towards Industry 4.0 Smart Manufacturing, ensuring benefits are realized at each phase. With a strong track record among global brands, ThinkIQ is at the forefront of establishing standards for Smart Manufacturing. Their platform not only enhances productivity but also promotes sustainability and improves safety standards for manufacturers, setting a new benchmark in the industry. By embracing these advancements, companies can better adapt to the rapidly evolving technological landscape.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

CopperTree Analytics Kaizen

Integrations

CopperTree Analytics Kaizen

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
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

Siemens

Country

United States

Website

plm.sw.siemens.com/en-US/insights-hub/

Vendor Details

Company Name

ThinkIQ

Founded

2015

Country

United States

Website

thinkiq.com

Product Features

Industrial IoT

Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications

Product Features

Industrial IoT

Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications

Alternatives

Alternatives

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