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Thinfinity WorkspaceKey Features of Thinfinity Workspace 7.0: - Utilizes Progressive Web App (PWA) technology to enhance user experience seamlessly. - Combines Thinfinity VNC, VirtualUI, and z/Scope for unparalleled flexibility. - Offers HTML5 terminal emulation compatible with DEC terminals, as well as TN 5220 and TN 3270 protocols. - Includes comprehensive enterprise-grade audit logs to ensure robust security and compliance management. - Employs a proprietary VNC protocol for effective real-time monitoring and troubleshooting. ENHANCE USER EXPERIENCE - Distribute essential applications, desktops, and files through a unified web portal. - Simplify remote browser access for users, limiting them to only the necessary resources for their tasks. STREAMLINE IT AND ELIMINATE VPNS - Move away from traditional VPN setups and their associated complexities. - Facilitate access from any device, including Chromebooks and mobile devices, with just a web browser—no setup required. PROTECT YOUR BUSINESS SECURITY - Utilize connections that are encrypted to enterprise-grade standards. - Seamlessly integrate with both internal and external identity management systems. - Implement two-factor or multi-factor authentication policies across all identity platforms, ensuring an additional layer of security for user access. - This comprehensive approach not only enhances user experience but also strengthens overall system integrity, making it a vital tool for modern businesses.
What is IBM Watson IoT Platform?
A fully managed cloud solution designed for seamless device registration, connectivity, control, rapid visualization, and data storage. By incorporating chip, application, and cloud technologies, users can maximize the capabilities of Watson's cognitive APIs, benefit from feature-rich dashboards, access extensive developer tools, and enjoy robust security measures to improve insights within the enterprise IoT landscape. This service delivers predictive, real-time, and edge analytics for user, machine, and environmental data, leveraging machine learning and cognitive APIs to enhance its effectiveness. It also provides governance across applications and devices in the IoT ecosystem, tracking usage and performance patterns, identifying anomalies, and ensuring the integrity of data and transactions. The platform interconnects IoT devices, networks, and gateways through a growing ecosystem that utilizes open standards for communication, including MQTT and HTTPS. Additionally, it enables users to identify, aggregate, and transform data from diverse IoT sources into organized asset-centric information. Users can tap into their IoT data to uncover insights regarding present conditions and trends, analyze unstructured information from videos and images, and derive meaningful insights from unstructured text data. By leveraging these capabilities, organizations are empowered to make well-informed decisions grounded in thorough data analysis and visualization, ultimately fostering a data-driven culture. This comprehensive approach ensures that businesses can continuously adapt and innovate in an ever-evolving technological landscape.
What is Crosser?
Harness the power of Edge computing to transform large datasets into actionable insights that are easy to manage. Collect sensor data from all your machinery and create connections to various devices such as sensors, PLCs, DCS, MES, or historians. Adopt condition monitoring for assets situated in remote locations, effectively adhering to Industry 4.0 standards to ensure optimal data collection and integration. Combine real-time streaming data with enterprise-level information for smooth data transitions, utilizing either your preferred Cloud Provider or an in-house data center for storage needs. Take advantage of Crosser Edge's MLOps features to implement, manage, and deploy your tailored machine learning models, while the Crosser Edge Node accommodates any machine learning framework. You can access a centralized repository for your trained models hosted in Crosser Cloud, and simplify your data pipeline with an intuitive drag-and-drop interface. Easily deploy your machine learning models across multiple Edge Nodes in a single action, enabling self-service innovation through Crosser Flow Studio. Benefit from an extensive collection of pre-existing modules that enhance collaboration among teams in different locations, significantly decreasing dependency on specific team members and boosting overall organizational productivity. By leveraging these advanced capabilities, your operational workflow will not only enhance collaboration but also drive innovation to unprecedented levels, paving the way for future advancements.
Integrations Supported
Advantech WebAccess/CNC
Azure Stream Analytics
Barracuda PST Enterprise
Cisco IoT Control Center
Google Cloud Platform
IBM API Connect
IBM App Connect
IBM Aspera
IBM Cloud
IBM Cloud Pak for Applications
Integrations Supported
Advantech WebAccess/CNC
Azure Stream Analytics
Barracuda PST Enterprise
Cisco IoT Control Center
Google Cloud Platform
IBM API Connect
IBM App Connect
IBM Aspera
IBM Cloud
IBM Cloud Pak for Applications
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
IBM
Date Founded
1911
Company Location
United States
Company Website
www.ibm.com/cloud/watson-iot-platform
Company Facts
Organization Name
Crosser Technologies
Date Founded
2016
Company Location
Sweden
Company Website
www.crosser.io
Categories and Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
IoT Analytics
Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking
Categories and Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
IoT Analytics
Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking