Number of Case Studies514
A Solution for All Traffic Solutions
A Solution for All Traffic Solutions
All Traffic Solutions is looking for a solution that can provide the following features: - Required a higher value-add solution to offset commoditization - Needed to control 3rd party products as if they were ATS products - Needed to migrate custom modelling and data from prior solution - The growing install base was increasingly difficult to manage and maintain due to separate silos for business and device systems
ThermalSpection™ CVM
ThermalSpection™ CVM
Critical vessels in the chemicals, refining, and power industries operate at high temperature and pressure and are at risk of failure as joints and refractory degrade. The consequences of undetected failures can be very serious. Conventional methods of real-time monitoring are unreliable and expensive to install and operate.
SAP Leonardo Enabling Rocket Science
SAP Leonardo Enabling Rocket Science
At times, ULA has as many as 15 different operating systems dedicated to overlapping processes, such as rocket design, testing, and launch. Multiple systems created unnecessary costs and unwanted confusion among workers at offices, factories, and launch sites in different location. In order to improve collaboration and transparency during vital activities that directly influence mission success, ULA wanted to improve data sharing and streamline manufacturing processes.
Number of Software1
M2X
M2X
AT&T M2X provides time-series data storage, device management, message brokering, event triggering, alarming, geo-fencing, and data visualization for your industrial Internet of Things (IOT) products and services.
Number of Suppliers501
Inspirient
Inspirient
Inspirient simplifies data analysis with artificial intelligence by automatically searching for insights in your business data. Data-driven decisions are now at everybody's fingertips.
Philips
Philips
At Philips, we look beyond technology to the experiences of consumers, patients, providers and caregivers across the health continuum – from healthy living and prevention to diagnosis, treatment and home care. We unlock insights to develop leading solutions that enable improved care at lower cost. With leading research, design and innovation capabilities, we partner with customers to transform the delivery of healthcare.
LoopPay (Samsung)
LoopPay (Samsung)
LoopPay inspires consumers to transition to a digital wallet and gain benefit in ease of use, security and speed of payment. LoopPay’s MST technology works at 90% of merchant locations in the U.S. and tens of millions of merchant terminals around the world so consumers can leave their wallets at home. At the same time, LoopPay aims to enhance and leverage the relationship between the credit card issuer, merchant and customer in both the physical and virtual world.
Number of Organizations55
Bolt
Bolt
Bolt is a venture capital firm designed to address the unique needs of early-stage startups at the intersection of hardware and software. Most institutional investors have moved upstream and back hardware companies that have completed product development. Bolt fills the gap in early stage hardware financing, investing in pre-seed, pre-product companies.
IoT European Research Cluster (IERC)
IoT European Research Cluster (IERC)
IoT has the potential to enhance Europe's competitiveness and is an important driver for the development of an information based economy and society. A wide range of research and application projects in Europe have been set up in different application fields. Communication between these projects is an essential requirement for a competitive industry and for a secure, safe and privacy preserving deployment of IoT in Europe.IERC will facilitate the knowledge sharing at the global level and will encourage and exchange best practice and new business models that are emerging in different parts of the world. In this way, measures accompanying research and innovation efforts are considered to assess the impact of the Internet of Things at global and industrial level, as well as at the organisational level.The main objectives of the IERC are to:- Establish a cooperation platform and develop a research vision for IoT activities in Europe and become a major entry and contact point for IoT research in the world.- Define an international strategy for cooperation in the area of IoT research and innovation and have an overview of the research and innovation priorities at the global level.- Coordinate the cooperation activities with other EC Clusters and ICT projects.- Coordinate and align the SRIA agenda at the European level with the developments at the global level.- Organise debates/workshops leading to a better understanding of IoT and Future Internet, 5G, cloud technology, and adoption.
Startup Scaleup IoT Accelerator
Startup Scaleup IoT Accelerator
Startup Scaleup’s tailored 6-month accelerator will make sure that our IoT startups will have all they need to succeed internationally. The programme is a mix of events and resources both online and at the hubs underpinned by a foundation of unique services, experienced mentors, IoT experts, developers and facilities. The journey begins with IoT’ers week at your home hub; an intense schedule of activities, and workshops that covers all the basics for scaling your business. After this week the accelerator moves online with further workshops as well as “Ask Me Anything” sessions with top startups players.
Number of Use Cases42
Shipment Tracking
Shipment Tracking
Utilizing IoT and digital supply chain management platforms have moved far beyond looking at only ocean carrier milestones. With this new level of end-to-end shipment visibility, shippers can instantly access transit times from every carrier along the route to create efficiencies and increase communication within their organizations – ultimately providing the highest level of customer satisfaction.Digitized data comes in many formats, including feeds from the Internet of Things (IoT). Global supply chains are ideal candidates for IoT applications because there are so many moving parts and multiple parties. IoT applications capture and share immense amounts of data that equip logistics managers with a level of visibility not previously achievable. Specifically, for shippers and the carriers moving their products, advances in cellular devices and networks have made it possible for less-than-truckload (LTL) and other over-the-road truckers to provide tracking data.These connected tracking devices feed into transportation management and supply chain platforms to provide critical information at the pallet and package level. When connected with the ocean, air, and rail shipment tracking, these last mile data systems give shippers a competitive edge. To alleviate the pressure on your supply chain, the most important component is a technology platform with one big view of everything across your multimodal transportation ecosystem. 
Edge Computing | Edge Intelligence
Edge Computing | Edge Intelligence
Edge (fog) computing shifts computing applications, data, and services away from centralized servers to the extremes of a network. This enables analytics and knowledge generation to occur at the source of the data. Industrial IoT companies face challenges turning machine data into business intelligence. Existing cloud-based technologies do not solve problems of data analytics, software deployment, or updates and security for remote devices. Edge or fog computing solves the problem of accessing large amounts of machine-generated data by processing data at the edge of the network and converting it into actionable, useful business information. In an Intelligent Industrial Fog, software can be deployed at various points in the network to not only automate monitoring and control, but also to apply embedded intelligent agents that can adjust device behaviors in relation to ongoing performance variables, reduce running costs by reducing power consumption during off-cycles, or even detect imminent failures and notify technicians to perform preventative maintenance.Edge computing also allows remote software deployment and secure M2M communication. Edge computing leverages resources that are not continuously connected to a network, such as laptops, smartphones, tablets, and sensors. It covers a wide range of technologies, from wireless sensor networks and mobile data acquisition to cooperative distributed peer-to-peer ad hoc networking and processing. Import IoT applications include remote cloud services, distributed data storage and retrieval, and self-healing networks. 
Autonomous Vehicles
Autonomous Vehicles
Autonomous vehicles are cars or trucks that perform functions to support dependent on connecting devices with intelligence such as lights, radars, steering etc. to situation awareness and planning. The fusion of components and intelligence is what makes AV different from regular vehicles. We differentiate autonomous vehicles from autonomous transport systems. Whereas autonomous transport systems are interconnected fleets of vehicles owned by a business to service a particular need systematically, autonomous vehicles serve individual passengers (who may or may not own the vehicle). Autonomous vehicles are widely divided into five degrees of autonomy. The movement towards greater autonomy is impacted by technical, environmental, and regulatory or legal factors. A given vehicle may be technically capable of an advanced level of autonomy but be unable to perform to that level in a highly chaotic environment or may be prevented by regulatory prohibition or legal risk. Level Zero – No AutomationAt level zero, the operator performs all tasks. The vehicle has no autonomy.Level One – Driver AssistanceAt level one, the vehicle can assist with specific functions such as applying modest breaking force when the vehicle approaches too close to an obstacle. However, the vehicle operator is responsible for accelerating, braking, and monitoring of the surrounding environment. Level Two – Partial AutomationAt level two, the vehicle can assist with steering or acceleration functions and allow the operator to disengage from some of their tasks for a limited duration. However, the operator must always be ready to take control of the vehicle and is responsible for safety-critical functions and monitoring of the environment. Many vehicle manufacturers are developing vehicles at this level.Level Three – Conditional AutomationAt level three, the vehicle controls all monitoring of the environment using sensors such as LiDAR. The operator's attention remains critical but the operator can disengage from “safety critical” functions like braking and expect the vehicle to navigate safely under normal conditions. In the case of trucks, many level three vehicles require no human attention to the road at speeds under 37 miles per hour. Level Four – High AutomationAt level four, the vehicle is capable of steering, braking, accelerating, and monitoring the vehicle and environment, and responding to unexpected events in most driving conditions. At level four, the vehicle notified the driven when conditions are safe for autonomous transportation. The vehicle is then expected to be able to operate as well as a typical human operator. However, the vehicle may request to transfer control back to the human operator under highly dynamic circumstances.Level Five – Complete AutomationAt level five, no human attention is required. Level five vehicles do not require space for an operator. Likewise, there is no need for pedals, brakes, a steering wheel or other manual controls. The autonomous vehicle system controls all critical tasks, monitoring of the environment and identification of unique operating conditions.As noted above, it is significantly easier to reach level five automation in a controlled environment such as a mine or metro track than in a highly dynamic environment such as a city road.  
514 Case Studies
1 Software
501 Suppliers
12 Events
55 Organizations
42 Use Cases
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