MITRE, a federally-funded, not-for-profit company that manages seven national research and development laboratories in the United States, was grappling with the challenge of managing an influx of cybersecurity data. The constant changes in network environments were impacting the security posture of U.S. government agencies. Intrusion alerts, anti-virus warnings, and seemingly benign events like logins, service connections, and file share access were all potentially associated with adversary activity. The cybersecurity researchers at MITRE needed to go beyond rudimentary assessments of security posture and attack response. This required merging isolated data into higher-level knowledge of network-wide attack vulnerabilities and mission readiness. The challenge was not the lack of information, but the ability to assemble disparate pieces of information into an overall analytic picture for situational awareness, optimal courses of action, and maintaining mission readiness. The team also struggled with fully comprehending a given security environment and mapping all known vulnerabilities.

The instrument engineering company faced a significant challenge in managing the data acquisition from various devices and sensors. Each device or sensor had its unique technology and served a different purpose, requiring a separate data acquisition platform. This led to a scattered product portfolio, disconnected sales process, and low customer perception. The company's end customers, large industrial enterprises, often needed to work with multiple devices or products, which meant dealing with different platforms. This situation resulted in a large effort and resources required to maintain these platforms, and a slow and lengthy time-to-market. The company also faced a lack of standard functionality across platforms.

Tobi, an international fast-fashion online retail destination, was facing challenges with its returns process. The company, which serves young women in over 100 countries, was struggling to contain the costs of offering free returns. The bulk rate provided by their legacy supplier, the U.S. Postal Service, was proving to be expensive. Additionally, Tobi’s limited order tracking abilities were prompting frequent customer inquiries, many of them about returns. This lack of clarity around the returns process left customers wondering when they would receive a refund or replacement item, creating a negative customer experience. The Tobi team also struggled with the lack of visibility when expediting customer queries.

The City of Oakland Department of Transportation (OakDOT) was faced with the challenge of receiving more traffic safety improvement requests than they had the resources to implement. The city needed a method to effectively prioritize these service requests. The challenge was further compounded by the fact that traffic-related incidents were the leading cause of death for people aged 5 to 24, and the second leading cause for all other age groups under 85 in the U.S. Low-income communities and communities of color were more likely to experience traffic-related injury and death. Therefore, the city needed a solution that would not only prioritize service requests but also ensure equity in service delivery.

Israel Aerospace Industries (IAI) is a global leader in the development and manufacture of aerospace and defense solutions. Owned by the Israeli government, IAI designs systems for naval vessels, civil and military aircraft, homeland defense, satellites and command centers. With a revenue of US$3.83 billion, IAI employs some 16,000 people and is listed on the Tel Aviv Stock Exchange.Operating at the cutting edge of research means that every minute counts for IAI’s production teams. IAI’s core IT environment consists of VMware, Microsoft Exchange and SQL Server, and Oracle database. The existing and new applications produce a torrent of data, and managing the growth while maintaining storage performance caused a constant IT headache.

Kitron, a leading electronics manufacturing services company, was facing challenges in maintaining its competitive edge in a rigid market. The company needed to stay up-to-date with the latest technology, robotics, automation, and digitalization. Kitron was also looking for a partner, not just an IT supplier, who could understand their industry, needs, and challenges. The company had previously used other leading industry solutions but found them too rigid. They needed a solution that could integrate with other systems. Kitron also had high growth targets, aiming for a 30% increase in revenue. As the company worked with high complexity products with low volume production, this translated into a focus on supply chain, flexibility to change, security, and efficiency. The company also needed to find the best suppliers.

Dillon Transportation, a dry van transportation company, experienced significant growth since its inception in 1996. From a humble beginning with one truck and two drivers, the company expanded to a fleet of 125 trucks and 170 drivers and crew members. However, this rapid growth brought about a challenge. The owner, Donnie Dillon, found it increasingly difficult to keep track of every driver and truck in his fleet. He could no longer remember the specifics of each trip, which he previously kept in his head. The company needed a more sophisticated way of storing information about drivers and loads. They required a system that would allow employees to access the specifics of each trip easily. The challenge was to find a solution that could manage the growing complexity of their operations.

Provenance Data Systems (PDS) offers a suite of tools designed for companies to obtain real-time feedback from customers. One of these tools is Pinpoint Feedback, a software solution that enables companies to engage in conversational commerce. PDS aimed to establish a relationship between their applications with a common data platform to break data silos and use the data across various applications. However, they faced several challenges. Firstly, they were struggling with a lack of customer feedback. Secondly, they were unable to implement cutting-edge software, either open-source or SaaS-based. Lastly, they needed data access for the software to run efficiently.

BrainBox AI, a leader in building automation, uses advanced artificial intelligence technology to automate Heating, Ventilation, and Air Conditioning (HVAC) systems, reduce greenhouse gas emissions, and save money. The company's technology gathers and analyzes data from a building's HVAC system, combines it with external data such as weather conditions, and feeds it through the cloud to BrainBox AI's prediction models. However, the company faced challenges in ensuring uninterrupted data flow from the building to the cloud. They needed a wide-area network (WAN) solution independent from the on-site, wired ISP. The variance across sites was slowing down deployment, and the limitations of guest-level access left BrainBox AI's IT team wanting additional control. Furthermore, BrainBox AI's hardware enclosure is compact, which restricts the size of the WAN solution that can be used. The company also sought widespread expansion of its HVAC automation system and needed highly scalable routers that support cloud-based visibility and adjustments.

Toshin Industry Co., Ltd., a leading hoop plating company, was facing a significant challenge in managing the variety and quantity of items in their four factories. The company, which plates the contact points of electronic components for devices like smartphones, tablets, and personal computers, was struggling with storage space due to the increasing number of items. This issue was further complicated by the fact that multiple pieces of the same material were delivered, necessitating a first in, first out approach and matching of type and lot. As a result, employees were spending an excessive amount of time searching for materials and stored items, leading to a waste of valuable time and resources.

Siemens Building Technologies Division, a global leader in creating safe, energy-efficient, and environment-friendly buildings and infrastructures, was facing a challenge to make software a more integral part of their business. They were looking to create new revenue streams, improve visibility and reporting, and standardize their licensing technology. The company's buildings are comprised of sophisticated systems controlling everything from HVAC to security and fire protection. As every building is unique, so are the systems that orchestrate these functions. This led Siemens to search for a standardized licensing technology that would enable them to monetize all software and improve the licensing and order process, as well as the customer experience.

Bright Power, a nationwide leader in strategic energy solutions, was facing challenges with simultaneous heating and cooling in its New York headquarters due to uncontrolled perimeter radiation and packaged air conditioning on thermostats. The building’s system included individually-controlled thermostatic radiator valves and a packaged air-conditioning unit. This led to frequent simultaneous heating and cooling and a lack of control, resulting in energy wastage and occupant discomfort. Bright Power sought to control the space’s disparate systems with the aim to reduce energy waste, increase comfort, and evaluate how IoT-based controls can help their commercial and multifamily clients achieve the same. They also required an open-source solution that could install in tandem with Tunstall radiator products.

Autogrill, a multinational catering company operating in 30 countries, faced a significant challenge in providing their suppliers with direct access to their core system data. The suppliers required this access for improved visibility, analytics, and order effectiveness. Autogrill also needed better anticipation of stock levels, localized costs in each market, and additional supply chain information. The data resided in their IBM i (AS/400) and SAP systems, and accessing it in a quick, secure, and cost-effective manner without creating thousands of queries was a significant challenge. Autogrill was in search of a partner who could support them in achieving these goals and provide secure services granting real-time information from their core systems.

Cuerva a Spanish Grip Operator, was seeking to enhance grid knowledge through the implementation of the AI Energy Forecasting Model to obtain precise forecasts of user demand and energy generation.Cuerva’s grid encompasses over 16,000 diverse supply points, making cloud-based operations intricate and susceptible to issues such as connectivity loss, delays in information transmission, and reliance on centralized infrastructure, which can result in the loss of critical data.To tackle these challenges, the Edge technology has proven to be the sole alternative capable of addressing these issues effectively. It ensures real-time data access and operates in a decentralized manner, minimizing the impact of device failures on the overall functionality of the network.In this successful case, we illustrate how with Barbara DSOs can implement AI directly in substations to accurately predict the demand and production values of consumers linked to the transformation center where an Edge node run by Barbara has been deployed.

Predictive Maintenance is a sophisticated approach in equipment management that employs machine learning to constantly monitor and evaluate the condition of machinery. This methodology aids manufacturers in predicting potential faults, significantly reducing production costs, optimizing device usage, and enhancing productivity. Key activities in predictive maintenance include continuous monitoring of equipment health, data-driven condition assessment, and using advanced algorithms for predicting potential failures. A digital twin—a digital replica of a physical object, contextualized within its environment—plays a crucial role in this process.A leading spiral welded steel pipe manufacturer in Turkey faced significant production challenges. The factory's production process, reliant on a series of interdependent machines, was highly susceptible to disruptions. Any machine failure would halt the entire production line, leading to unpredictable and prolonged downtimes. Additionally, the lack of sufficient failure data necessitated the generation of synthetic data using high-fidelity hybrid models.

Cheetah Digital, a cross-channel customer engagement solution provider, faced significant challenges in its IT operations after breaking away from Experian in 2017. The newly formed IT team was understaffed with only four agents, insufficient to meet the volume of demands. The team had previously relied on Experian’s internal tools to manage IT requests and needed a new ticketing system. The company's IT roadmap was to be cloud-first, requiring a solution that could provide continuous maturity and stability. Additionally, the IT department recognized the need for automation to scale with increasing demand. The company also faced challenges in driving user adoption of the new ITSM solution, as most IT requests initially came in through emails or walk-ups.

The Kern High School District (KHSD) in California, which comprises 18 comprehensive high schools and 11 alternative, adult, career technical, and special education institutions, was facing a significant challenge in managing its customer service operations. The district office, which began its journey with Freshworks in 2014, had over 50 agents working out of Freshdesk to support the student information system, Synergy, used by over 4000 staff across 34 education institutions. The support teams were set up across functions with separate groups of agents who tackled payroll, student systems, admin, etc. However, they realized that while it was easy for teachers to reach out to their assigned IT technician when they had an issue with their computer, not everyone knew who to reach out to if they had issues with their paycheck or leave applications. This lack of a unified system led to confusion and frustration among both the staff and the agents. The agents were unsure if the incoming requests had already been addressed by someone else, and there was no way to extract metrics and monitor the performance of agents.

PrettyLittleThing, a rapidly growing UK-based fashion retailer, faced the challenge of expanding its software development capabilities to keep up with its business growth. The company needed a strategic tech partner who could assemble a team of dedicated software engineers with experience in developing e-commerce solutions and high load systems. The primary goals were to extend the in-house team with strong software engineers experienced in PHP, various JavaScript frameworks, AWS, and other technologies; automate the process of product creation on the client’s e-commerce website that has over 30,000 items; and speed up the software development process. The challenges included establishing effective communication and alignment among different distributed teams and developing functionality that helps manage thousands of products easily.

Lebara, a rapidly growing mobile virtual network operator (MVNO) with operations in 10 European countries, was facing challenges with its legacy IT infrastructure. The company needed to undergo a comprehensive digital transformation to ensure scalability, agility, and faster time-to-market. As part of its expansion strategy, Lebara initiated a digital transformation program designed by a leading consulting agency. However, the company required assistance from an experienced software development partner for implementation. Lebara was seeking a provider that could cover all their needs in software development, including optimization of their existing BI solution and platform migration from on-premises to the cloud.

Nanded, a city in India's Maharashtra State, is a significant spiritual hub for the Sikh religion, attracting a large number of visitors throughout the year. The city leaders identified a need to enhance security and realized that an innovative approach was necessary to meet their needs and budget requirements. This led to the inception of the C-Cube project, Nanded’s command, control, and communication center, designed to monitor the entire city. The challenge was to design a Safe City solution that would provide comprehensive functionality within the budget constraints. The city leaders, along with security consultants MIPL and system integrator Samarth Security Systems (India) Pvt. Ltd., were tasked with this responsibility.

Ameren, Missouri’s largest electric utility, was faced with the challenge of replacing a legacy solution that was no longer supported after the year 2000. The company needed a new system that would provide remote access to inline chemistry analyzer readings, including numerical output and trend graphs. The previous system was limited, with live chemistry data only accessible on a few PCs that had the legacy software installed. Ameren also aimed to eliminate the mainframe from the plant, which was a significant goal for the company. The challenge was to find a solution that would not only replace the legacy system but also enhance the accessibility of live data to all personnel on site, provide pager alarm notifications to technicians, and allow for remote accessibility and single web page views.

 As a global company with over 1,200 employees and 24 subsidiaries, KTR systems has a diverse and complex digital infrastructure to protect. With increasingly subtle and sophisticated cyber-attacks targeting every corner of the digital ecosystems, the IT team sought a new approach that could detect and autonomously respond to these threats.

Marketing to prospects (direct mail, telemarketing, and email) is expensive. Targeting incorrectly can hurt your brand, leaving prospects feeling spammed. Traditional techniques are not very sophisticated, resulting in low response rates which in turn leads to high cost-per-lead/acquisition numbers.

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.

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.

There are many challenges to address when designing applications that can improve performance, flow, and quality. These challenges involve rotors and the process of installing tires:Over 60 different edges are used for different types of surfaces (dark, matte, glossy), which makes 2D camera systems difficult to capture due to the influence of lighting solutions on different types of surfaces.The bolts are pre-installed on every router. Each bolt cap has a small surface area, which means a 3D, high-resolution vision system is necessary to accurately locate the point cloud for each bolt cap. During installation, the rotor has random rotation, which means that the bolts are in different positions for each installation, and a solution is needed that will identify the bolt positions.The solution also needed to be capable of 3D matching or large point clouds, as the rotor could rotate 15 degrees in both directions along with the vehicle.In addition to these technical factors, the part is heavy and has a limited cycle time of only 3.5 seconds for full point cloud grabbing and processing.

Acatec S.L., a leading manufacturer of precision aeronautical components based in Spain, was striving to reduce costs and exceed client expectations by embracing new technologies. The company decided to overhaul its entire process, from the purchase of raw materials to the final delivery of the product. However, Acatec had historically outsourced all macro engineering and IT/Technology projects to external professional service companies. This resulted in a lack of in-house engineering and technology personnel to drive productivity improvement initiatives. To improve productivity, Acatec decided to implement time-saving, resource-light systems aimed at assisting forward planning of work, gauging capacities, and managing demanding delivery schedules. This included the implementation of management systems for warehouses and computerized control productions. However, the company soon realized that the first step towards increased productivity and efficiency was measuring the actual events.

The client had strategic aspirations to move towards a managed service provider model from a traditional value-added reseller model (hereon mentioned as VAR). This required digital transformation across their customers, vendors, and internal employees’ touchpoints, with streamlined internal supply chain processes and enhanced customer experience

Acorn Insurance, operating in a highly competitive market, was grappling with continuously squeezed margins. The company was in search of a method to enhance their current premium pricing techniques to deliver fair pricing for traditionally high-risk clients. One of their clients, rentE, an on-demand car hire service, was categorized as high-risk by insurers and was thus restricted by high insurance premiums. Given rentE’s innovative business model, it was clear that more accurate risk insights were needed to obtain a fair premium.

Applied Technical Services (ATS), a leading testing, inspection, and consulting engineering firm in North America, was facing a significant challenge in managing its information. With a 20% year-over-year growth, 700 employees, and thousands of active projects, the company's existing information management approach was no longer sufficient. The information storage was inconsistent and fractured among departments, leading to inefficiencies in operations. The lack of a clear and consistent process and data workflows further compounded the problem. ATS wanted to overhaul its legacy internal portal, create a department-specific home page with centralized document storage, and establish a customer portal. However, to achieve these objectives, they needed a more intuitive and automated solution.