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Solebit (MimeCast) - DeviQA Industrial IoT Case Study
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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Magic Spoon Simplifies Production Management Workflow with Anvyl - Anvyl Industrial IoT Case Study
Magic Spoon Simplifies Production Management Workflow with Anvyl
Simplify their supply chain workflowIncrease communication with suppliersMore time to fix data discrepanciesAdvance notice when delays were expected
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How to Track and Analyze Production Quality Using AI - Inspekto Industrial IoT Case Study
How to Track and Analyze Production Quality Using AI
Extra loop of manual double-checks is needed in automotive quality inspections.
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ATS & GM Redefines EV Automotive Battery Assembly - ATS Industrial IoT Case Study
ATS & GM Redefines EV Automotive Battery Assembly
ATS
Welding is challenging. It’s hard to inspect failures. Welds must be done in a consistent, repeatable process. Stack them too fast, and the packs do not line up.
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WhaleDI Supports Integrated Energy Smart Services - WhaleDI Industrial IoT Case Study
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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Success story 3d Signals & ROTHENBERGER Group - 3DSignals Industrial IoT Case Study
Success story 3d Signals & ROTHENBERGER Group
Before introducing the 3d Signals Asset Performance Monitoring (APM) solution, ROTHENBERGER monitored its assets with traditional tower lights and 24V controls provided by the machine vendors. As part of their transition to the industry 4.0 era, ROTHENBERGER looked for a solution that would enable accurate visibility and full transparency into the production floor.
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Advance Your RPA Initiatives - Altair Industrial IoT Case Study
Advance Your RPA Initiatives
A global financial institution was using a report repository connected to dozens of applications and database systems used across the enterprise, from different geographies and multiple business units. Weekly, hundreds of thousands of reports from these applications were manually downloaded to a centralized location for people to use.The file formats were typically unstructured data, usually in text or PDF. There was no consistency in report formats across the different applications, or even for reports created using the same application. End users would then manually copy data from the text / PDF formats to Excel-based reports used for reconciliation, attestation, financial reporting, journal entries, and other uses.
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Predictive maintenance of medical devices based on years of experience and advan - Hitachi Industrial IoT Case Study
Predictive maintenance of medical devices based on years of experience and advan
Failure prediction by human operators requires advanced skills, and the limited number of experts cannot monitor all MRI systems around the world. "Corrective maintenance" for repairs after breakdowns has also become inevitable.
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National Instruments selected Attivio Platform for Superior Search Functionality - NI Industrial IoT Case Study
National Instruments selected Attivio Platform for Superior Search Functionality
NI
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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Predictive Analytics Solution for Off Highway Equipment - CYIENT Industrial IoT Case Study
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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Rethinking Machine Performance - relayr Industrial IoT Case Study
Rethinking Machine Performance
Machine uptime is one of the most vital performance factors for electric rotating machinery. In times when an hour of downtime can equate to thousands of dollars in losses, securing predictability turns into a high priority for all industrial businesses. Manufacturers operate in an extremely volatile environment, thus avoiding unplanned downtime becomes critical for achieving desired business outcomes. Predictive maintenance is no longer a nice-to-have but a necessity to survive and thrive in unfavourable conditions. Start from the basics. Making machines perform better means, first and foremost, understanding how the machine works, extracting relevant data, and gaining meaningful insights into ongoing processes. The power of the machine lies in utilizing its full potential.
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Solution Snapshot - ENO8 Industrial IoT Case Study
Solution Snapshot
ProsRent’s two primary advantages arean innovative, market-altering idea, anda first-mover advantage.Obviously, the hope is that that first-mover advantage, paired with its strong founding team, will translate into a superior product and dominant market share before any other companies try to enter the market. The challenge, then, was to produce a minimum viable product that was fast and first to market but also strong enough to engender loyalty and repeat business from the target market.
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Ethicon Uses Material Intelligence to Sustain Medical Devices - ANSYS Industrial IoT Case Study
Ethicon Uses Material Intelligence to Sustain Medical Devices
Rapid selection of manufacturing materials compliant in global markets is critical to assuring patients, practitioners, and purchasing organizations medical device biocompatibility.Ensuring supply chain continuity and minimizing risks of obsolescence for medical devices due to regulatory changes are also critical in meeting Ethicon’s ongoing commitment to maintaining patient care. Its engineers are developing the next generation of medical devices and need to be able to access historical material data to accelerate new product development
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Turning to a new future-ready digital infrastructure - Accenture Industrial IoT Case Study
Turning to a new future-ready digital infrastructure
In the competitive digital economy, a user’s experience can mean everything. Generali Vitality knew as much when it launched an innovative platform to promote the mantra “Know your health, improve your health, enjoy your rewards.” Customers in Germany, Austria, and France were offered encouragement, rewards, and lowered insurance premiums for taking simple steps toward a healthy lifestyle, such as getting regular checkups and staying physically active.But Generali Vitality wanted to grow its base beyond these markets and become a lifetime health partner to members. The company realized that if it could introduce a best-in-class user experience uniformly across all user journeys and channels with a unique and fresh product feel, it could increase user engagement and retention. The challenge? Optimizing and introducing new features continuously without the need for lengthy product development and release cycles.Consistent global customer experience is best achieved when teams in the design and IT work effectively together at scale, across the organization. A new solution that could meet Generali Vitality’s ambitious goals would need to scale to ten thousand users, integrate multiple rewards partners, and be localizable for multiple markets and languages. Generali Vitality needed to collaborate with a partner that could enable these capabilities with a tailor-made solution, so users could benefit from the updates as soon as possible.So, the company partnered with Accenture to collaborate in strategically relevant areas - user experience and cloud computing - and to unify the design approach between business units and across geographic boundaries.
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3D Scanning and Inspection for the EV Battery Industry - LMI Technologies Industrial IoT Case Study
3D Scanning and Inspection for the EV Battery Industry
Electrode slurry is coated onto copper and aluminium foil to facilitate electric flow. The metal surface, separator, and coating must be inspected for potential surface or edge defects as well as uniform shape and thickness.
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Make the Plant Smarter - Visual Quality Inspection Replacing Traditional Ways - IBM Industrial IoT Case Study
Make the Plant Smarter - Visual Quality Inspection Replacing Traditional Ways
IBM
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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Machine Vision-based Assembly System Fits and Mounts Wheels onto Cars - Matrox Industrial IoT Case Study
Machine Vision-based Assembly System Fits and Mounts Wheels onto Cars
Using manual assembly methods to mount wheels onto cars in continuous operation is extremely costly for automotive manufacturers. This is mainly because several assembly workers are required to perform the work.
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Using GIS Data To Prioritize Traffic Safety Service Requests - Cityworks Industrial IoT Case Study
Using GIS Data To Prioritize Traffic Safety Service Requests
The City of Oakland Department of Transportation (OakDOT) receives more traffic safety improvement requests than they have resources to implement each year. OakDOT needed a way to effectively prioritize service requests.
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Identifying Vane Failure From Combustion Turbine Data - SparkCognition Industrial IoT Case Study
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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Sentilo Terrassa (Smart City Open Data) - Opentrends Industrial IoT Case Study
Sentilo Terrassa (Smart City Open Data)
Terrassa City was in need to ameliorate their information and communication flow between municipal managers, in order to generate new services to its citizens. The City Council was missing an internal management platform of the municipal services, and wanted to initiate a Smart City strategy to solve this issue, along with bringing value to all parties involved (municipality, businesses, citizens and other local entities). 
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Continuous condition monitoring pays off at a large power utility - Petasense Industrial IoT Case Study
Continuous condition monitoring pays off at a large power utility
A large power utility in Hawaii was looking for more frequent condition monitoring on their Balance of Plant (BOP) generation assets. They had experienced significant equipment failures that occurred between their scheduled quarterly walkaround condition monitoring routes.
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Automatic monitoring of acoustic emission saves catastrophic failure - Nanoprecise Sci Corp Industrial IoT Case Study
Automatic monitoring of acoustic emission saves catastrophic failure
Traditional measurement tools are ineffective when it comes to slowly rotating equipment. There are faults like Bearing Failure, Ring Plugging, Gear Tooth Crack and many more which can lead to the shutdown of machines. 1 minute of downtime cost the company $10. RingPluggingis a very common issue which Pinnacle Pellet was facing very frequently due to diverse feed quality into the machines. Product ring plugging can be detected as sound levels increase in specific roller bearings.
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Metals Processor and Distributor Polishes Up Customer Service - IBM Industrial IoT Case Study
Metals Processor and Distributor Polishes Up Customer Service
IBM
Sharpening a competitive edgeThe global metals processing and distribution industry are highly fragmented, with many businesses jostling for marginal gains. Any competitive edge a company can achieve through improving efficiency or providing value-add services can deliver major benefits.
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Using AWS Direct Connect at the Edge to Drive New Revenue Growth - EdgeConneX Industrial IoT Case Study
Using AWS Direct Connect at the Edge to Drive New Revenue Growth
One of Comcast Business’ enterprise customers, a local building supply company, was searching for a new IT solution to upgrade and modernize their ERP system. Keeping all functions on-prem would require a full rebuild of their existing data center, ultimately leading to a large capital cost burden on the company and an ongoing expense to scale over time. This option was certainly not ideal, so other alternatives were explored. Incorporating public cloud solutions available through AWS were the best fit, but accessing those AWS products and services via their existing public internet was slow and did not meet the network latency thresholds needed to accommodate their new desired architecture. Ongoing operating costs were also a concern, so enabling a scalable, cost-effective solution would need to be a key part of any future solution.
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Optimising a Logistics Enterprise’s Digital Ecosystem - ELEKS Industrial IoT Case Study
Optimising a Logistics Enterprise’s Digital Ecosystem
Aramex needs a technology partner to support its digital strategyAramex follows the ‘asset-light’ business model and is highly committed to innovation in its strategy. They recognize technology and innovation as their key differentiators and growth enablers. Continually investing in bespoke digital solutions, Aramex found it challenging to staff their fast-paced projects locally. Moreover, the innovative and user-centric nature of these projects required vast expertise in data science, UX design, business analysis, and R&D.In late 2015, Aramex decided to look for a technology partner from Eastern Europe to support its entire delivery process. They needed a technology peer who could proactively contribute to design and ideation, rather than just provide development services under close supervision. The client chose ELEKS for our best cost/value balance, extensive expertise in mobile UX, data science, and R&D, as well as our innovation culture.
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On-line Inspection Of Automobile Assembly Based on Deep Learning - Jianea Industrial IoT Case Study
On-line Inspection Of Automobile Assembly Based on Deep Learning
The cost of manufacturing testing is high with human capital. Manufacturers can only inspect partially (not all) of the products manufactured. The level of automation and equipment intelligence has been low.
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Surface Defect Inspection of 3D Line Laser Scanning Auto Tire Radius Pattern  - TUS-INVENT Industrial IoT Case Study
Surface Defect Inspection of 3D Line Laser Scanning Auto Tire Radius Pattern
From the pursuit of car ownership to the pursuit of higher quality and safe cars, tires are an important part of car safety.
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MTC Becomes the Premier Source of Traveler Information for Efficiency and Choice - CivicConnect Industrial IoT Case Study
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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Automated Railcar Inspections Increase Security and Revenue - Dell Technologies Industrial IoT Case Study
Automated Railcar Inspections Increase Security and Revenue
Providing industry and government customers with intelligent inspection, automation, safety, and security solutions, Duos Technologies Group, Inc. (“Duos” or the “Company” - Nasdaq: DUOT) continually pushes the boundaries of IT. To keep pace with expanding AI-enabled data capture analytics for its edge railcar inspections, the company chose the latest Dell EMC PowerEdge servers.Duos Technologies’ challenge was finding a way to leverage technology as a force multiplier to meet customer requirements for a better, faster inspection process for trains running at full speed. Duos developed innovative data analytic solutions with AI at the edge to conduct more reliable railcar inspections, which are available 24/7/365 in all climates and conditions.
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Wireless Condition Monitoring Predicts Failure Of Calendar Roll Gearbox - Infinite Uptime Industrial IoT Case Study
Wireless Condition Monitoring Predicts Failure Of Calendar Roll Gearbox
The calendar machine run by a motor has a shaft mounted gearbox connected to the roller. This gearbox allows maximum paper load and feeds the paper with reduced speed to the roller. In spite of scheduled preventive maintenance, it was observed that gearbox used to fail frequently. The rise in vibrations leading to the eventual failure of gearbox adversely affected the quality of the paper. Monitoring the gearbox was thus vital and critical.
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