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Our Case Study database tracks 1,843 solution providers in the global IoT Ecosystem.
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Increases Pace While Protecting Quality
Fujitsu’s challenge was to gather customer requirements for increasingly complex products, develop solutions, and test them on schedules that continue to accelerate. To avoid performing tests on outdated designs, Fujitsu’s employees needed better ways to stay informed about ongoing changes in requirements and design that might affect the tests being run.With large numbers of documents to manage it was difficult and time-consuming to make, track and communicate changes. Lack of visibility made it difficult to keep the requirements and test teams in synch, and finding data stored in static documents was a time-consuming process.
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Savings on HVAC and Lighting Energy Bills
With a revenue of over $1 Bn and over 25,000 employees, it is no surprise that they showcased the same level of commitment towards sustainable technology, seeking to provide the best working environment for employees across their facilities.The challenges facing the facility team at LTI Bengaluru were primarily two-fold: a) lack of automation for the HVAC & Lighting system leading to hotspots & coldspots and a high number of employee complaints, which the FM team spent most of their time responding to; and b) energy wastage and high energy bills.
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Automotive manufacturer increases production throughput
An automotive components manufacturer was facing lower productivity from a relatively new automated assembly line - production 43% lower than installed capacity; new plant, 3 years old. Plant runs 24 hours, 6.5 days a week.Management is budgeting a 2nd assembly line driven by demand, but wants current productivity issues resolved.
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Digitalising QC records
Ready-mix concrete batching plant with seasonal demand 6,000 to 12,000 cu.metre per month.Batch-cycle records for each truck is stored in paper format. 1000 to 2000 truck loads per month, generating ~2000 to 6000 paper records.QC anomaly detection in chemical batch-mixing is manual & time consuming.
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National Instruments selected Attivio Platform for Superior Search Functionality
National Instruments was concerned about the future state of its enterprise search solution. Microsoft’s FAST ESP was no longer offered as a stand-alone product and it was marked for end-of-life, effective July 2013.
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SECURITY WATCH
Security Watch or Cam Pack is the surveillance App/Device that turns your iPhone into an instant spy. Use the Bluetooth Camera Device to stream live what’s happening behind you. Perfect for situations when you feel the person is suspicious or ready to rob/assault you from behind. The device is worn like a watch on your wrist. The device captures the video and transmits it to the Mobile App through Bluetooth. The App takes care of the rest. The app has a panic button that calls to 911 immediately in case of any danger.
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IoT Solutions In Medical Clinics
Proper storage plays a vital role in safeguarding the integrity of pharmaceutical products. Many drugs, medicine, and other pharmaceuticals are susceptible to temperature and humidity levels, and as such, have stringent storage requirements.Improper storage can result in medications losing their efficacy or becoming harmful to patients. To avoid deterioration in pharmaceutical product quality, clinic operators must consistently and accurately measure, monitor, and track real-time conditions in pharmaceutical storage cabinets. Controlling these conditions presents a significant challenge for medical facilities, as manually checking temperature and humidity is inefficient and labor-intensive, also carrying the risk of human error in measurement accuracy and reporting. IoT technologies are enabling medical practitioners to automate temperature monitoring of pharmaceutical storage cabinets. As one of the most renowned private medical clinics in Switzerland, the Merian Iselin Clinic sought a reliable and effective method of remotely monitoring and maintaining ideal temperature and humidity conditions within its pharmaceutical storage cabinets.
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Introduction of AI to Quality Inspection of Consumable Raw Material
In the past, it was necessary for inspectors to visually detect minute foreign substances that rarely got mixed in with raw materials (plants) flowing down the production line.The challenges are:1. difficult to detect visually by inspectors - It was necessary for inspectors to visually inspect foreign objects as small as 1mm, which made it difficult to detect them.2. existing inspection devices cannot cope with the problem - In addition to the fact that the foreign matter is microscopic, both the raw material and the foreign matter come in multiple types and colours and have unspecified shapes, so rule-based image inspection systems could not handle them.3. different conditions for each factory and line - The customer has multiple factories and lines, each with different types of foreign matter, different conveyor speeds, and different inspector skills.
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A 63% Lighter Titanium Aerospace Part with Materialise
Reduce the weight of a metal bracket, without compromising strength
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Solebit (MimeCast)
Solebit (MimeCast) provides identification and prevention of zero-day malware and unknown threats.From the moment when we joined the project, there were automation tests designed and developed by the in-house development team. Tests were not useful because every time a developer triggered the tests, it was by hand in a terminal. As the result, the team had a big and complicated file with the results.Also, the tests took more than 20 hours to complete, and the history of the build was also unavailable.The test suite architecture was unscalable, making it difficult to maintain a large number of test machines.The task was to create a simple runner for tests and increase their speed. We learned some valuable lessons. We should have redesigned the architecture to support cloud platform integration, made the tests run much more easily, and generated a clean report with all the necessary details.At the same time, we should propose improvements for the current testing process and made some manual testing, too.
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Heerema Fabrication Group Consolidates EPC Processes on ERP
New ERP software was necessary, especially to support HFG’s emphasis on becoming a global player in engineering, procurement, construction, and installation (EPC(I)) and turn-key contracting.
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Building Custom Industrial Applications
Power a revolutionary software platform regardless of network connectivityGE Digital’s software team developed an innovative solution to address these data challenges head-on. The team’s Predix cloud-based platform allows organizations to build tailored mobile apps that help field personnel collect and analyze data from intelligent machines.The initial release of Predix was a great step toward helping field workers monitor, maintain, and troubleshoot equipment. But the GE Digital team also learned that Predix required a data platform that could provide strong stability without relying on internet connectivity
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Bayernwerk AG deploys cloud-based integration platform
The company had the idea to create innovative business systems to better leverage existing assets and deliver new digital services faster to members as well as third-party organizations in the energy industry. The utility adopted a co-creation approach to enable a more open environment and worked collaboratively with DXC Technology to develop an innovative business integration platform that supports the quick delivery of new digital services to market.
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Make the Plant Smarter - Visual Quality Inspection Replacing Traditional Ways
In the aspect of streamlined production and product quality inspection, it is sometimes necessary for human staff to observe, identify, and discover errors and omissions in the production process. No matter how strong a person's sense of responsibility is or how concentrated he/she is, he/she may be fatigued, neglected, distracted, not to mention, he may turn a blind eye to the mistakes of acquaintances, causing defective products to flow to the market. At the same time, if the all-manual inspection method is adopted on the assembly line, it is not only heavy work but also quite time-consuming. In a modern production line, such an inspection method cannot be accepted, and more importantly, it does not add any value to the production itself.
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How an Edge-to-Cloud Data Platform Works
At Litmus, the biggest challenge the customers face is access to the data they need to fuel machine learning and analytics models. Large scale manufacturers come to Litmus looking for the fastest way to connect to their assets and send data to the cloud. Companies not only need to send data to the cloud to create machine learning models, but they also need to deploy those models back at the edge with a unified edge-to-cloud platform.
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WhaleDI Supports Integrated Energy Smart Services
From the sorting and analysis of past cases of digital construction in the energy field, four problems are often encountered in the process of digital upgrading of the energy industry, including the difficulty of using data in the early stage of construction, the diverse and volatile needs in the middle stage of construction, and the later stage of construction., the lack of continuous operation capability and the mismatch of safety requirements, etc.Data is difficult to use: while the amount of data is exploding, the data chimney still exists. According to the statistical analysis of relevant institutions, about 80% of the data has not been effectively used due to data silos and lack of analysis capabilities.Diverse and volatile demands: supply and demand sides, production links, and business departments have different demands for data usage. Business scenarios are complex and have low fault tolerance, making it difficult to get through the CPS (information physical system).Lack of continuous operation capability: business applications and data construction are separated, and data services cannot cope with rapid changes in business, resulting in a lack of depth and breadth of operational services and a significant drop in customer satisfaction.Mismatched security performance: comprehensive energy services require extensive access to customer data, and it is difficult to avoid data interaction security issues between internal and external networks.
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Digital Technologies Revolutionize Orthotic and Prosthetic Design and Manufactur
Introduce digital technologies to orthotic and prosthetic design and manufacturing to support manual processes with digital workflows and tools.
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Predictive Analytics Solution for Off Highway Equipment
The client wanted to reduce downtime and production losses by effectively prioritizing maintenance activities and proactively replacing components before failure.
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Identifying Vane Failure From Combustion Turbine Data
In late 2015, a deployed combustion turbine experienced a row two vane failure, which caused massive secondary damage to the compressor, resulting in nearly two months of downtime and up to $30M in repairs costs and lost opportunity. This failure, though rare, is representative of typical catastrophic events that are very difficult to catch. Though the onsite plant operations team had been monitoring the asset, this specific failure mode was previously unknown and very nuanced, and existing alarms did not have enough information for SMEs to properly diagnose it in time.The OEM decided to evaluate SparkCognition’s predictive analytics solution, SparkPredict®, with the following objectives:1. Demonstrate the ability to detect and distinguish operational and anomalous online steady-state conditions based on blind data provided from the turbine.2. Provide additional insights about the key contributing factors to the underlying anomalies.3. Provide a UI that interfaces to live streaming data from the asset.
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HARTMANN Trusts Infoblox to Stabilizeand Secure Networks across Continents
Improve network reliability to ensure quality user experiences globally, Centralize DNS infrastructure and core network management, Strengthen network security.HARTMANN has locations in over 35 markets around the world. To ensuresecure and stable IT operations, the company relies on network managementand security from Infoblox.
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Metals Processor and Distributor Polishes Up Customer Service
Ryerson aimed to distinguish itself from competitors by improving customer service functionality, but supporting IT infrastructure needed an upgrade to deliver on its goals
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DataVita to Maintain SLAs with Real-time Environmental Monitoring Solutions
In commissioning their 4,000 sq. m. data center, DataVita determined that to ensure efficient operations and support the clients they needed cost-effective rack-level temperature and humidity monitoring. Their service level agreements (SLA) with customers guarantee 100% uptime – if availability drops for even a second, DataVita returns 25% of a customer’s quarterly fees. The company sought an experienced partner to design and deploy a rack-level monitoring solution that would protect both their customers and their revenue.
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CNL Software
Ensuring the safety and security of citizens and visitors is key to the success and progress of any city. This is especially true for Atlanta being one of the most multicultural cities in the U.S., and it attracts investment from across the globe. As with any large city, Atlanta is becoming more reliant on the use of visual intelligence to help identify and resolve safety and security incidents faster and more precisely.
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Royal Oaks Mobile App
Royal Oaks App is a golf course mobile application based on Android and iOS platforms to enhance the golf experience on the course. The client requirement was to build an app using which they can track all the players, manage all the players who are currently playing, and provide some facility to players through this app. They wanted a GPS screen on this application which helps the player to know about his current status. Also, the player can see the details about how fast he is playing and how fast he can be. Using this app the user can order food as well.
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Always Innovating
Making the transition from small-run R&D projects to full-scale manufacturing for large volume contracts required SRC to find a PLM solution that would allow them to scale and provide the flexibility to continuously innovate and build new solutions
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AT&T utilizes Enlighted Advanced Sensors to produce millions of dollars in energ
Being socially responsible is business as usual for AT&T, and they weave it into virtually everything they do. CEO and Chairman Randall Stephenson has signed off on an ambitious policy to reduce the company’s carbon footprint by 20% by 2020.In 2013 the AT&T energy team decided to optimize the energy performance across 1,000 of their largest energy-consuming sites and 500 of their retail sites. This opportunity allowed the energy team to investigate the possibility of using advanced technology to lower energy consumption in an intelligent way.
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MTC Becomes the Premier Source of Traveler Information for Efficiency and Choice
MTC desired a Next Generation 511 system that provided choice and efficiency in mobility for the 8 million residents, visitors and workers it serves, while leveraging the latest technology advances to reduce cost.
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Mitsubishi Electric’s Fast Stepwise-learning AI Shortens Motion Learning
Due to declining workforces in ageing societies such as Japan, securing sufficient human resources is becoming increasingly difficult, which in turn is raising the demand for AI that can support efficient mechanized operations. New production facilities, however, present special challenges due to differences in pre-learned and actual shop environments, resulting in huge amounts of time devoted to teaching AI before it can be implemented on a full scale.
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Chariot Automotive Group Case Study
Operating five locations means securing five locations and each site has unique security needs. Physical space and up-front costs are limited, so Chariot Automotive needed a creative and inspired solution for their corporate office. In addition, the organization did not want to sacrifice ease of use or efficiency.
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Automotive manufacturer increases productivity for cylinder-head production by 2
Daimler AG was looking for a way to maximize the number of flawlessly produced cylinder-heads at its Stuttgart factory by making targeted process adjustments. The company also wanted to increase productivity and shorten the ramp-up phase of its complex manufacturing process.
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