SUPPLIER MANAGED

NI

United States
Austin
1976
Public
NASDAQ: NATI
$1-10b
1,001 - 10,000
Open website
NI provides powerful, flexible technology solutions that accelerate productivity and drive rapid innovation. From daily tasks to grand challenges, NI helps engineers and scientists overcome complexity to exceed even their own expectations. Customers in nearly every industry―from healthcare and automotive to consumer electronics and particle physics―use NI's integrated hardware and software platform to improve our world.
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By 2020, more than 50 billion devices will be digitally connected, representing $19 trillion in business opportunity. From the "smart edge", where NI hardware performs local control and data acquisition, to entire networks of intelligent "system of systems," watch the Industrial Internet of Things (IIoT) take shape. NI provides a single, integrated platform to help enterprises make smarter business decisions using NI software and end-to-end analytics.

NI provides technology to transform vast amounts of Big Analog Data gathered by sensors into actionable business insights using real time analysis. NI also offers a suite of software tools to collect, analyze, report, and act on Big Analog Data.
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Condor Ferries, Nokia, STFC RAL Space, National Grid UK, Zenitaka Corporation, Hyundai Motor Company, China Steel Corporation (CSC), Tecnalia, London Underground Limited
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NI’s IoT Snapshot maps the range and focus areas of NI’s IoT business across Technologies, Use Cases, Industries, and Services. Only categories with active products will be shown. Missing categories indicate that there is no activity in those areas.
Industries
Aerospace
Automotive
Semiconductors
NI’s Tech Stack maps NI’s participation in the IoT tech stack.
  • Application Layer
  • Functional Applications

  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service

  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
    Actuators
    Sensors

  • Devices Layer
  • Robotics
    Drones
    Wearables
  • Supporting
    Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capacity
None
Minor
Moderate
Strong
Number of Case Studies14
Improving Asset Health Information
Improving Asset Health Information
Unexpected downtime costs industries billions of dollars each year, and the challenges of aging assets combined with many experienced professionals at or near retirement age have companies looking at the promises of IoT technology for answers.
IoT System for Tunnel Construction
IoT System for Tunnel Construction
The Zenitaka Corporation ('Zenitaka') has two major business areas: its architectural business focuses on structures such as government buildings, office buildings, and commercial facilities, while its civil engineering business is targeted at structures such as tunnels, bridges and dams. Within these areas, there presented two issues that have always persisted in regard to the construction of mountain tunnels. These issues are 'improving safety" and "reducing energy consumption". Mountain tunnels construction requires a massive amount of electricity. This is because there are many kinds of electrical equipment being used day and night, including construction machinery, construction lighting, and ventilating fan. Despite this, the amount of power consumption is generally not tightly managed. In many cases, the exact amount of power consumption is only ascertained when the bill from the power company becomes available. Sometimes, corporations install demand-monitoring equipment to help curb the maximum power demanded. However, even in these cases, the devices only allow the total volume of power consumption to be ascertained, or they may issue warnings to prevent the contracted volume of power from being exceeded. In order to tackle the issue of reducing power consumption, it was first necessary to obtain an accurate breakdown of how much power was being used in each particular area. In other words, we needed to be able to visualize the amount of power being consumed. Safety, was also not being managed very rigorously. Even now, tunnel construction sites often use a 'name label' system for managing entry into the work site. Specifically, red labels with white reverse sides that bear the workers' names on both sides are displayed at the tunnel work site entrance. The workers themselves then flip the name label to the appropriate side when entering or exiting from the work site to indicate whether or not they are working inside the tunnel at any given time. If a worker forgets to flip his or her name label when entering or exiting from the tunnel, management cannot be performed effectively. In order to tackle the challenges mentioned above, Zenitaka decided to build a system that could improve the safety of tunnel construction as well as reduce the amount of power consumed. In other words, this new system would facilitate a clear picture of which workers were working in each location at the mountain tunnel construction site, as well as which processes were being carried out at those respective locations at any given time. The system would maintain the safety of all workers while also carefully controlling the electrical equipment to reduce unnecessary power consumption. Having decided on the concept, our next concern was whether there existed any kind of robust hardware that would not break down at the construction work site, that could move freely in response to changes in the working environment, and that could accurately detect workers and vehicles using radio frequency identification (RFID). Given that this system would involve many components that were new to Zenitaka, we decided to enlist the cooperation of E.I.Sol Co., Ltd. ('E.I.Sol') as our joint development partner, as they had provided us with a highly practical proposal.
Developing Smart Tools for the Airbus Factory
Developing Smart Tools for the Airbus Factory
Manufacturing and assembly of aircraft, which involves tens of thousands of steps that must be followed by the operators, and a single mistake in the process could cost hundreds of thousands of dollars to fix, makes the room for error very small.
Number of Hardware3
CompactRIO controller
CompactRIO controller
The NI cRIO-9068 combines a dual-core processor, a reconfigurable FPGA, and eight slots for C Series I/O modules within one chassis. Featuring a 667 MHz dual-core ARM Cortex-A9 processor running the NI Linux Real-Time OS and an Artix-7 FPGA, this system is well-suited for advanced embedded control and monitoring applications. The cRIO-9068 offers a -40 °C to 70 °C operating temperature range along with dual 9 VDC to 30 VDC power supply inputs for use in applications that demand a rugged and temperature-tolerant controller. The device features 512 MB of DDR3 memory for embedded operation, 1 GB of nonvolatile memory for data logging, and a wide range of connectivity options including two Gigabit Ethernet, one USB Hi-Speed, and three serial ports.Clients can use NI LabVIEW system design software to create, debug, and deploy logic to both the onboard FPGA and the processor running the NI Linux Real-Time OS. The LabVIEW environment includes hundreds of prewritten libraries for analysis, control, and logging. C/C++ developers have the option to reuse existing libraries within LabVIEW Real-Time or develop, debug, and deploy C/C++ applications for the onboard processor. Also included are all necessary I/O drivers and middleware for AXI communication between the FPGA and processor as well as network communication libraries to develop the entire system software with a single tool: LabVIEW.
CompactRIO System on Module
CompactRIO System on Module
NI System on Module (SOM) devices are fully tested and validated hardware products that ship with a complete middleware solution and Linux-based RTOS already integrated into the system. The NI SOM uses a graphical approach to programming the FPGA, eliminating the need for HDL expertise. Before development, quickly prototype with CompactRIO, then deploy with the SOM reusing the majority of the code. Use the development kit to simplify the board design with reference designs and quickly integrate I/O with PMOD connectors and a digital prototyping area. The combination of the integrated software, intuitive FPGA programming, prototyping capability, and simplified development process results in a significant reduction in development time, design, risk, and time to market. The NI SOM is designed for high volume OEM applications.
NI InsightCM™ for Condition Monitoring
NI InsightCM™ for Condition Monitoring
NI InsightCM™ Enterprise is a software solution for online condition monitoring that acquires and analyzes sensory information, generates alarms, allows maintenance specialists to visualize and manage data, and simplifies deployment of large numbers of monitoring sytems. It provides insight into the health of both critical rotating machinery and auxiliary rotating equipment to optimize machine performance, maximize uptime, reduce maintenance costs, and increase safety.-Acquire Dynamic & Static Sensor Data-Analyze Waveform Data-Visualize Raw Data & Results-Manage Data-Configure & Monitor Systems-Authenticate Users & Devices
Number of Memberships4
AVnu Alliance
AVnu Alliance
AVnu Alliance is a consortium of professional, automotive and consumer electronics companies working together to establish and certify the interoperability of open Audio Video Bridging (AVB) standards. The Alliance works with its member companies to certify AVB products for interoperability. Manufacturers may use the AVnu logo on such certified products. Not every AVB-compliant device is submitted for certification to the AVnu Alliance. The lack of the AVnu logo does not necessarily imply a device is incompatible with other AVnu-certified devices.
European Telecommunications Standards Institute (ETSI)
European Telecommunications Standards Institute (ETSI)
The European Telecommunications Standards Institute (ETSI) is an independent, not-for-profit, standardization organization in the telecommunications industry (equipment makers and network operators) in Europe. ETSI produces globally-applicable standards for Information and Communications Technologies (ICT), including fixed, mobile, radio, converged, broadcast and internet technologies.We have a special role in Europe. This includes supporting European regulations and legislation through the creation of Harmonised European Standards. Only standards developed by the three ESOs (CEN, CENELEC and ETSI) are recognized as European Standards (ENs).We produce different types of standards to meet the different needs of business and society. These needs include:- facilitating trade- enabling economies and efficiencies- achieving interoperability- enhancing consumer protection and confidenceThe progress of innovation requires a balance between collaboration and competition. Standards provide a foundation to achieve this balance and help enable new technologies. We therefore maintain close links with the R&D community and academia and we support the development of new technologies through a variety of mechanisms.
OASIS Consortium (OASIS)
OASIS Consortium (OASIS)
OASIS is a nonprofit consortium that drives the development, convergence and adoption of open standards for the global information society.OASIS promotes industry consensus and produces worldwide standards for security, Internet of Things, cloud computing, energy, content technologies, emergency management, and other areas. OASIS open standards offer the potential to lower cost, stimulate innovation, grow global markets, and protect the right of free choice of technology.OASIS members broadly represent the marketplace of public and private sector technology leaders, users and influencers. The consortium has more than 5,000 participants representing over 600 organizations and individual members in more than 65 countries.OASIS is distinguished by its transparent governance and operating procedures. Members themselves set the OASIS technical agenda, using a lightweight process expressly designed to promote industry consensus and unite disparate efforts. Completed work is ratified by open ballot. Governance is accountable and unrestricted. OASIS was founded under the name "SGML Open" in 1993. It began as a consortium of vendors and users devoted to developing guidelines for interoperability among products that support the Standard Generalized Markup Language (SGML). The consortium changed its name to "OASIS" (Organization for the Advancement of Structured Information Standards) in 1998 to reflect an expanded scope of technical work.
Number of Partners3
IBM
IBM
IBM is an American multinational technology and consulting corporation that manufactures and markets computer hardware, middleware and software, and offers infrastructure, hosting and consulting services in areas ranging from mainframe computers to nanotechnology. IBM is intent on leading the development of a global data field. Year founded: 1911 Revenue: $92.7 billion (2014) NYSE: IBM
Hewlett Packard Enterprise (HPE)
Hewlett Packard Enterprise (HPE)
Hewlett Packard Enterprise or HPE (formerly HP) makes IT environments more efficient, productive and secure, enabling fast, flexible responses to a rapidly changing competitive landscape. They enable organizations to act quickly on ideas by delivering infrastructure that can be easily composed and recomposed to meet shifting demands, so they can lead in today’s marketplace of disruptive innovation. Year founded: 2015 (1939) Revenue: $53.0 billion (2014) NYSE: HPE
SparkCognition
SparkCognition
SparkCognition is a global leader in cognitive computing analytics. A highly awarded company recognized for cutting-edge technology, SparkCognition develops AI-Powered cyber-physical software for the safety, security, and reliability of IT, OT, and the IoT.The company's technology is capable of harnessing real-time sensor data and learning from it continuously, allowing for more accurate risk mitigation and prevention policies to intervene and avert disasters. SparkCognition???s cognitive software, DeepArmor, is utilized to prevent and detect Malware with a high level of accuracy and efficacy by using advanced Machine Learning and Artificial Intelligence.
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