At the corporation’s Mizushima plant near Okayama, pH measurement during the neutralization of strong acids is closely monitored. For this important measurement Tsutomu Ishikawa and Naoto Ogura, engineers at the plant’s Instrumentation and Engineering Department were not satisfied with the performance of the pH sensors they were using.For this reason, sensors were regularly exchanged at the plant to minimize the chance of failure in the process. But the operation cost was high and Mr. Ishikawa and Mr. Ogura needed a better solution. Specifically, they required to know in advance when a pH sensor would need to be cleaned, calibrated or replaced: “We wanted to grasp how deposits forming on the pH sensors would affect the timing of sensor maintenance and exchange.”

M&T Bank, a Fortune 500 American bank, was focused on transforming its digital footprint and embracing agility to meet constantly evolving customer needs. However, with digital transformation came the need for digital trust and security. The bank relied on Public Key Infrastructure (PKI) and digital certificates to securely connect devices and applications across its digital footprint. Over the years, technology and cryptography evolved significantly, creating new challenges. M&T Bank initially partnered with Keyfactor in 2010 to migrate from SHA-1 to SHA-2 and re-build their entire PKI. However, as the number of devices and workloads expanded rapidly, so did the number of certificates required across their environment. The increasing volume and speed at which certificates were issued made it difficult to keep track of them.

Missouri University of Science & Technology (Missouri S&T) faced a significant challenge in managing security across its sprawling campus. As the university expanded, the demand for new facilities and updated buildings necessitated additional security solutions. The university was using multiple platforms to control access to various buildings, along with a physical lock-and-key system, which posed a problem with oversight and management. With 35 buildings and numerous residence halls to manage, Missouri S&T sought to automate various systems through a centralized access control platform. The university staff wanted the ability to incorporate data into its human resources, student management, course enrollment, and event management system. They needed a system that allowed access and excluded access based on access need and security.

Hyundai AutoEver, a key player in supporting Hyundai Motor Group’s IT initiatives, faced challenges in developing the connected car of the future. With over four million Hyundai vehicles connected to the cloud, a number expected to increase annually, the company aimed to provide personalized digital experiences for drivers. However, to achieve this, Hyundai AutoEver had to modernize their applications and technology. A prime example of this was their Bluelink® mobile app, a luxurious, connected car service offering various features such as remote start, door lock and unlock, on-demand diagnostics and alerts, destination search, and remote car finder.

Mitsubishi Electric, a leading manufacturer of electrical and electronic equipment, was facing challenges in its software development processes for large-scale real-time systems at its Kamakura Works production hub. The software engineering department was tasked with developing software solutions for complex systems such as satellites and ground control centers. However, these solutions were becoming larger and more complex, and the development lead time was getting shorter. The department was working to refine and systematize its processes for developing various types of software solutions. They were also preparing for a further increase in the speed and scale of future software development. The department aimed to cope with the growing sophistication and speed of software development by promoting automation, flexibly meet the demands of the most complex pipeline projects, and realize a secure on-premises environment that was not connected to the Internet.

Panic, a Portland-based corporation known for its Mac apps and video games, was venturing into a new territory with the development of their own handheld video game system, Playdate. The company was aware that releasing a gaming device would present new challenges compared to their previous software-based products. They were determined not to compromise on product quality. To ensure a continuously improved product experience for their customers, Panic needed a way to deliver firmware updates post the shipping of the devices. Additionally, they realized early on that obtaining useful crash reports from users would be a challenge. They needed an efficient system to monitor device metrics to catch and resolve issues before they escalated.

Fujitsu Network Communications, a leading optical solutions provider, faced challenges in managing customer requirements for increasingly complex products, developing solutions, and testing them on accelerating schedules. The company's document-based system made it difficult to reuse requirements and communicate them to downstream groups, necessitating a shift from a document-centric approach to a data-centric one. Managing large numbers of documents was time-consuming and lacked visibility, making it hard to keep the requirements and test teams in sync. The company was also experiencing issues with testing requirements or writing test cases for requirements that had been modified or no longer existed. Fujitsu needed a solution to eliminate these inefficiencies and streamline its processes.

The customer, a global network of professional services firm providing audit tax and advisory services, was looking to digitize their business operations. They were in need of a partner to do a technical proof of concept on Cortana analysis suite (CAS’s) data lake set of offerings. The customer's needs included bringing in data from multiple cloud tenants into a single location, running descriptive and predictive analytics on those data, establishing a regular schedule as well as data organization for the above, and the need for one consolidated version of data points.

Akron Energy Systems (AES) is a community energy system operator in Akron, Ohio. They facilitate the transition from on-site energy production to community energy systems, thereby reducing building owners’ total cost of ownership by taking over building system upkeep and maintenance. However, AES was facing challenges with the existing control solutions at customer locations, which often required them to make site visits to diagnose and correct system issues. This was not only time-consuming but also inefficient. To improve customer service and streamline their internal processes, AES needed a control solution that could provide remote access, analytics, and alert capabilities under a single pane of glass. This would enable them to diagnose customer problems quickly without the need for site visits and provide their customers with powerful portfolio-wide insight.

CleanTelligent Software, a company that aids in-house and contracted janitorial teams in streamlining communication and improving quality control, faced a significant challenge. Their clients were demanding a more dynamic way to present reporting data. The company's software was primarily used to analyze and summarize a custodial team's performance, replacing a highly manual, paper-driven process. However, the initial differences between service providers in the janitorial industry are often unclear, and the cost of switching is comparatively low. This situation led to high client turnover, with a janitorial company's customer lifetime averaging four years or less. CleanTelligent needed to improve the customer experience with dynamic dashboards and reporting, retain customers through predictive analysis, capitalize on advanced analytics capabilities to build market differentiation, and improve client retention rates.

IWT, a company specializing in the design, manufacture, and installation of washing systems for the life sciences and pharmaceutical industries, faced a significant challenge in managing its wide product portfolio. The company manufactures 45 different models, 60% of which are customized to some degree. This high level of customization, combined with limited production quantities, necessitated a controlled process for managing the release of engineering changes. The goal was to achieve efficiency, reduce process time, and better coordinate production throughout the organization. The need for strict compliance in heavily regulated industries further complicated the situation. IWT's existing PLM journey with Dassault Systèmes’ SOLIDWORKS for 3D CAD and Enovia for managing CAD data and Bills of Materials (BOMs) was proving inadequate. The system had limited part classification, no workflow, and no tool to ensure data consistency. The management of non-CAD documents was also a challenge, with information often difficult to find and access.

According to the World Health Organization (WHO), there are approximately 1.7 billion people in the world suffering from a range of mental health conditions. This might be anything from acute anxiety and clinical depression to obsessive-compulsive disorders. The WHO believes there are 23 million people suffering from these and similar conditions in Egypt alone. However, one of the factors preventing people from receiving treatments are cultural values and social stigma: they say that either these conditions do not exist, or that if people are indeed suffering, they just need the willpower to overcome their afflictions rather than seeking specialized treatment.With an estimated 10,000 website hits per month, Shezlong needed a hosting platform that could not only provide a foundation for the service but also accommodate its open source architecture.

Utility companies that operate hydro turbines have a vested interest in performing regular maintenance to prevent unexpected failures. Most maintenance occurs on a scheduled basis where the asset is taken offline, inspected, and repaired proactively if needed. Hydro turbine units are highly reliable, meaning that few examples of unplanned downtime exist. However, these failures are very costly to their operators.Given the sensitivity operators have to unplanned downtime, many have equipped turbines and generators with sensors and platforms to collect valuable performance information in real-time. But because there are so few historical hydro failures to compare against, rich streaming data and legacy statistics-based analysis are not very accurate at predicting true failure events. In fact, they often create more problems by overloading monitoring teams with benign false positives that result in unnecessary downtime to evaluate. This begs the question: Can artificial intelligence help maintenance teams extract more value out of their data?

A bank needed to upgrade its custom-made software system to a High-Performance Computing (HPC) solution. The bank was looking for HPC for the purpose of complex computations to offer its clients with information to make capital markets buying/selling decisions, risk modeling, and faster analysis for future trades.The bank requirement was to replace a custom-made data processing system with a High-Performance Computing (HPC) solution to perform financial computations including risk modeling, predictive analytics, etc.

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.

Rotary International, a global non-profit organization, was facing challenges in keeping up with the rapid pace of digital change and the increasing digital expectations of its members. Despite its focus on global humanitarian and youth leadership development programs, the organization realized that it was falling behind in delivering relevant and reliable digital products. The organization recognized the need to rethink how its digital strategy supported its mission and how it delivered digital products that better focused on evolving member expectations. The challenge was to find a way to leverage digital technologies to enhance member engagement and support the organization's mission.

Oracle University, a platform that provides proficiency training on Oracle Cloud Infrastructure (OCI) and SaaS applications, faced significant challenges with its underlying database system. The system, which was initially based on AWS and used PostgreSQL, was migrated to OCI in 2018. However, the PostgreSQL system had several shortcomings. Performance optimization was subpar, and building a high-availability (HA) setup required substantial expertise. The system also required additional compute resources, which led to downtime and necessitated the management of the underlying block storage that PostgreSQL used. This resulted in high administrative overhead and required expertise, making the system inefficient and costly to maintain.

Somic Group, a machine builder in the packaging market, was facing several challenges. They were seeking ways to reduce costs and react more quickly to customer requirements, while also improving their service business. The market was demanding more innovative, intelligent, and smarter machines, and Somic wanted to meet these demands by building compact, high-performance solutions that incorporated preventive maintenance with an augmented reality interface. Their customers were looking for reliability, production security, and high availability in machines, which were also priorities for Somic. They aimed to deliver all these features while maintaining a compact technology footprint.

Grupo Avemex, a Mexico-based company offering a full range of business aviation services, faced a significant challenge. As a Federal Aviation Authority (FAA) repair station and Directorate General of Civil Aeronautics (DGAC) maintenance workshop, Avemex provides aircraft on ground (AOG) technical support, major structural repairs, retrofits, modifications, and upgrades (RMUs). Being a Honeywell partner for over 30 years, Avemex is a premium dealer and supports all of Honeywell’s avionics solutions. However, with the upcoming mandate for ADS-B Out, which requires aircraft to use precise GPS data to accurately pinpoint its position in real-time and broadcast this data to surrounding aircraft and air traffic control (ATC), Avemex anticipated that aircraft operators would encounter issues when looking for upgrades.

HARTMANN, a global leader in medical device manufacturing, operates in over 35 markets worldwide. The company faced the challenge of maintaining a uniform and organized IT infrastructure across its vast facilities and workforce. The user experience for HARTMANN executives and staff, whether in Heidenheim, Germany or Shanghai, China, needed to be of identical quality. To prevent local differences, HARTMANN decided to harmonize its IT infrastructure, which had been managed locally. However, the implementation with Microsoft DNS and DHCP solutions left the company unsatisfied over time. The problem was that the implementation was dependent on individual sites, limiting visibility into network operations. The data was outdated, and performing system analyses was a slow, time-consuming process. Furthermore, it wasn’t possible to integrate a backup concept with modern DHCP.

Managing thousands of systems and servers across a multitude of hybrid environments created complexity for Globe Telecom, making it hard to spot issues that could impact customers.Delivering superior customer experience is paramount in the telecom industry.That’s why Globe Telecom insists on running an unfailing, round-the-clock IT operation. They wanted to monitor our networks, applications, and databases from a single pane of glass so we could keep a watchful eye on our systems 24 hours a day, seven days per week — without missing any critical alert

Chariot Automotive Group, a highly-rated automotive dealership with five locations in north-central Indiana, faced a significant challenge in securing all its locations. Each site had unique security needs, and the physical space and up-front costs were limited. The organization required a smaller-scale solution for their corporate office that would not compromise on performance, ease of use, or efficiency. The challenge was to find a creative and inspired solution that would meet these security requirements within a desirable installation timeline.

According to the requirement of the design, the MP3 decoding module, Wi-Fi module, Power amplifier module, Audio channel selection module, Bluetooth audio receiver module, and radio module was designed. STM32 series microcontroller is the main control chip, the music in other storage media are decoded and played through the MP3 decoder chip. By selecting a sound module like Bluetooth audio module, Wi-Fi wireless connection with mobile, or receiving music by radio module, the input can be given to the amplifier. In this design, data transmission by the wireless way can reduce wiring work.

KONE already provided traditional maintenance services for its more than 400,000 building owner and facilities management customers, but it sought cloud-based analytics technology to capture and use the vast amount of data generated by its elevator and escalator equipment worldwide to transform its service offerings. “We knew that digitalization was changing the industry, and we wanted to become a forerunner, not a follower in this development,” says Markus Huuskonen, the Director of Maintenance Processes and Connected Services at KONE.

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.

In the 3C industry and the automotive industry, the consistency of the measurement standards of upstream parts processing manufacturers and OEMs is important. How to quickly and efficiently sample the quality of parts according to the standards after OEM manufacturers receive parts, digitize the test results in real-time and share with other business systems and make them traceable, are common pain points in the industry.

Industrial robotic systems see increasing levels of vibration on their mechanical elements which often indicates the need for service. Factory operations personnel need to find a way to increase their awareness of vibration and use AI/ML analytics to interpret the data and address the issue in a timely manner. This is a fairly standard interpretation of predictive maintenance that many Industry 4.0 advocates aspire to.In the past, service schedules were accommodated using a paper log file, and the intervals between were often decided arbitrarily by a supervisor based on their experience and feel for the operation. As robotic systems in modern manufacturing become more complex, factory managers need to be aware of their maintenance requirements in real-time and be on top of both routine and critical service scheduling in order to avoid an interruption in service.

A major European aircraft component supplier encountered this challenge first-hand. A mission-critical, programmable milling machine failed, halting the organization’s production process. Despite the customer team’s expertise, the problem proved challenging to diagnose. At first, it appeared the downtime resulted from a damaged spindle, the most complicated part of the milling machine. However, a costly and time-consuming spindle replacement did not correct the situation. The team was forced to perform an extensive system evaluation to identify the culprit.

With various types of vehicle-to-everything (V2X) communication have been developed to meet the different use cases and scenarios, the security underpinning these communications needs to be consistent and effective across the full spectrum of V2X communications.Until recently, V2X communication has been based primarily on the ITS-G5 protocol, a dedicated short-range communication (DSRC) standard using WiFi signals. During the data exchange, each party or device needs to verify their permissions.Challenges in sumary:Commercial:Deploy the Cooperative Intelligent Transport Systems (C-ITS)Implement and offer secure, standardized solution for vehicle-to-everything (V2X) communicationTechnical: Secure creation and management of millions of digital certificates and keys

Hyundai Motor Corporation, a world-renowned car manufacturer, was facing challenges in managing their Additive Manufacturing (AM) production. The company had to schedule different build jobs, maintain an overview of all build statuses, and ensure efficient information flow among all stakeholders. Previously, they relied on Excel sheets to manage the RP production status, which required frequent manual updates and dissemination of information. Tracking the number of parts produced, savings, and other operational data required manually generated reports. Machine operators also had to invest significant work hours to manually manage the operating plan for each machine and adjust and communicate the planning as soon as changes occurred.