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What is Oracle IoT Intelligent Applications Cloud?

Oracle’s IoT Intelligent Applications Cloud provides improved visibility, actionable insights, and enhanced operational efficiencies by utilizing data from interconnected devices, specifically targeting areas such as smart manufacturing, connected assets, logistics, workplace safety, and customer experiences. By implementing IoT applications, organizations can increase their revenue by optimizing efficiency, enhancing supply chain transparency, and developing new business models. Moreover, the real-time data collected from sensors allows businesses to avert potential downtimes through proactive maintenance of their machinery, vehicles, and other assets. Cost savings can be realized through effective monitoring of vehicle routes and tracking products in transit, ensuring that resources are managed effectively. In addition, the platform assists in maintaining regulatory compliance and quickly diagnosing incident causes by providing immediate insights into workplace conditions, leading to a safer work environment. Embracing these cutting-edge IoT solutions can fundamentally reshape operational approaches and promote enduring growth while also fostering innovation across various sectors. Overall, organizations that invest in such technologies are likely to experience a competitive advantage in their respective industries.

What is Elemental Machines?

Leading laboratories worldwide are utilizing the extensive software and hardware solutions provided by Elemental Machines to bridge the gap between their existing equipment and the cloud, which enables them to centralize a vast array of data onto a unified dashboard or seamlessly integrate with their preferred systems via APIs. Collaborating with Elemental Machines empowers laboratories to observe their assets in real-time and receive prompt notifications, making it possible to monitor every element from virtually anywhere at any time. This cutting-edge strategy aggregates data from multiple assets into a singular IoT platform, promoting real-time monitoring, informed decision-making, and effortless compatibility with existing systems. Furthermore, the introduction of autonomous quality checkpoints at key stages of the manufacturing or research processes significantly reduces waste and mitigates regulatory challenges. As laboratory teams gradually resume their activities, our complimentary tool equips lab managers with the agility to effectively organize asset usage and prepare their teams for peak performance. Users can conveniently schedule routine maintenance and keep stakeholders updated about any anticipated asset downtime, thereby boosting operational efficiency. This comprehensive strategy not only simplifies laboratory management but also nurtures an environment conducive to innovation, ultimately driving progress in research and development. As laboratories continue to evolve, embracing such advanced solutions will be pivotal for maintaining a competitive edge in their respective fields.

Media

Media

Integrations Supported

CLEAN_Data
Freight Tiger
Oracle NoSQL Database

Integrations Supported

SciSure

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/internet-of-things/

Company Facts

Organization Name

Elemental Machines

Date Founded

2015

Company Location

United States

Company Website

elementalmachines.com

Categories and Features

Connected Worker

Not specified

Industrial IoT

Not specified

IoT

Not specified

IoT Analytics

Not specified

IoT Device Management

Not specified

Smart Factory

Not specified

Categories and Features

Data Management

Not specified

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