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Ratings and Reviews 0 Ratings
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OmegaCube ERPSince 1999, OmegaCube has been transforming business operations through innovative technology solutions. The company's flagship product, OmegaCube ERP, is a specialized enterprise resource management (ERP) system tailored specifically for the manufacturing and distribution sectors. This software effectively addresses the requirements of industries such as aerospace, automotive, metal fabrication, electronics, and medical devices. Designed to streamline workflows, it significantly enhances companies' operational efficiency. Furthermore, with our proprietary development studio, users can easily customize the software, develop their applications, and embed specific business rules with minimal coding effort. This flexibility allows employees to access the ERP system from any web browser or mobile device, regardless of their location. Additionally, the software can be deployed either on-premise or in the cloud, catering to diverse business needs. OmegaCube also provides the essential implementation expertise required for successful integration. Our reliable implementation strategy has empowered organizations of all sizes to achieve their strategic business objectives, fostering a culture of innovation and growth.
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Vertex AICompletely managed machine learning tools facilitate the rapid construction, deployment, and scaling of ML models tailored for various applications. Vertex AI Workbench seamlessly integrates with BigQuery Dataproc and Spark, enabling users to create and execute ML models directly within BigQuery using standard SQL queries or spreadsheets; alternatively, datasets can be exported from BigQuery to Vertex AI Workbench for model execution. Additionally, Vertex Data Labeling offers a solution for generating precise labels that enhance data collection accuracy. Furthermore, the Vertex AI Agent Builder allows developers to craft and launch sophisticated generative AI applications suitable for enterprise needs, supporting both no-code and code-based development. This versatility enables users to build AI agents by using natural language prompts or by connecting to frameworks like LangChain and LlamaIndex, thereby broadening the scope of AI application development.
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ChainguardChainguard Containers are a curated catalog of minimal, zero-CVE container images backed by a leading CVE remediation SLA—7 days for critical vulnerabilities, and 14 days for high, medium, and low severities—helping teams build and ship software more securely. Contemporary software development and deployment pipelines demand secure, continuously updated containerized workloads for cloud-native environments. Chainguard delivers minimal images built entirely from source using fortified build infrastructure, including only the essential components required to build and run containers. Tailored for both engineering and security teams, Chainguard Containers reduce costly engineering effort associated with vulnerability management, strengthen application security by minimizing attack surface, and streamline compliance with key industry frameworks and customer expectations—ultimately helping unlock business value.
What is FIN Framework?
The FIN Framework is recognized as an advanced software platform designed specifically for creating automation and IoT solutions. This all-encompassing software suite encompasses a variety of features such as monitoring, control, scheduling, alarming, visualization, integration, and analytics, all customized for OEM partners to adapt and incorporate into their own systems or products. Presently, numerous system manufacturers operating within the BAS, HVAC, lighting, and shading control industries are utilizing the FIN Framework to enhance their operations. The latest version, FIN 5, brings a wealth of new functionalities and upgrades, including a thoroughly redesigned database and an enhanced system configuration user interface, which promote more efficient engineering workflows. Moreover, the introduction of a template creation wizard simplifies the integration of controllers, significantly decreasing the configuration time for systems integrators and OEMs. In addition to these advancements, various modifications have been made to strengthen the overall durability of the software. J2 Innovations has also added more open APIs, which allow OEMs and developers to further expand the framework's capabilities, creating a more adaptable and innovative environment for application development. This ongoing progression of the FIN Framework showcases J2 Innovations' dedication to equipping its partners with cutting-edge tools to meet their automation requirements, ensuring they remain competitive in a rapidly evolving industry. As technology continues to advance, the FIN Framework is positioned to evolve further, meeting the future needs of its users effectively.
What is Azure IoT Edge?
Azure IoT Edge is a comprehensive service that runs on Azure IoT Hub, allowing you to implement a range of workloads, from artificial intelligence to both Azure and third-party services, as well as your own tailored business logic, directly onto IoT edge devices through the use of standard containers. By positioning specific workloads closer to the network's edge, these devices can reduce latency in communication with the cloud, react quickly to local events, and sustain their operations even during extended offline durations. You have the flexibility to apply models that were created and trained in the cloud right at the location where they are needed. For example, if a predictive model for quality control is set up on a factory camera and issues arise, IoT Edge has the capability to issue an alert, analyze the data locally, or send it to the cloud for further examination. This service not only guarantees the dependable and secure performance of your edge devices, but it also ensures they can operate effectively with limited or no cloud connectivity. Additionally, Azure IoT Edge includes device management features that keep the latest status of your devices in sync automatically, which improves overall operational efficiency and responsiveness. This smooth integration not only fosters a more effective workflow across your IoT ecosystem but also enhances the ability to make real-time decisions based on localized data processing. Ultimately, Azure IoT Edge empowers organizations to harness the full potential of their IoT devices and data.
Integrations Supported
Azure IoT Hub
Azure Kinect DK
Azure Marketplace
Docker
FIN Stack
Microsoft 365
Microsoft Azure
Microsoft Defender for Cloud
NVIDIA DRIVE
SAP Cloud Platform
Integrations Supported
Azure IoT Hub
Azure Kinect DK
Azure Marketplace
Docker
FIN Stack
Microsoft 365
Microsoft Azure
Microsoft Defender for Cloud
NVIDIA DRIVE
SAP Cloud Platform
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
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
J2 Innovations
Date Founded
2009
Company Location
United States
Company Website
www.j2inn.com/fin_5_launch
Company Facts
Organization Name
Microsoft
Date Founded
1975
Company Location
United States
Company Website
azure.microsoft.com/en-us/services/iot-edge/
Categories and Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
Categories and Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization