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.

 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.

Socrata, an Advanced Technology Partner in the AWS Partner Network (APN), often encountered customers struggling to unlock data from siloed, difficult-to-access systems and put it into a self-service accessible platform. This was crucial for strategic use of data in delivering program outcomes. A prime example was the Utah Department of Transportation (UDOT), a Socrata customer, which had difficulty using data and analytics in its daily work due to limited access to their business intelligence (BI) software. Only a small group of employees had access to the BI tool, leading to delays in simple tasks like changing a color on a graph. UDOT needed to consolidate different systems and provide more people with access to information and basic analytic tools. This was particularly important as UDOT relied on updated data to secure funding for projects from the state legislature.

Vitality, a company focused on making buildings smart by analyzing IoT data for energy savings and risk mitigation, faced a significant challenge as it grew. The company's original plan involved building basic analytics into its platform. However, as the company expanded, customer demands for analytics quickly outpaced what Vitality could build in-house. The company realized it needed to purchase analytics capabilities to stay relevant to its customers. These capabilities needed to be seamlessly integrated into its proprietary platform, matching the look and feel of its software, and delivering an industry-leading user experience. Additionally, Vitality saw a huge potential for future growth by augmenting its powerful algorithms with industry-leading embedded analytics.

Los Pelambres, a copper mine located in Salamanca, Chile, faced a significant challenge in its operations. The mine, which is the seventh largest producer of copper in the world, relied on 55 Komatsu mining trucks for the transportation of copper. In an effort to maximize asset utilization, the mine adopted a fast refueling system that reduced refueling time from 25 to approximately 5 minutes. However, this initiative led to a series of unexpected issues. The factory-installed fuel sensors ruptured due to the pressure from the fast refueling system. Without a working fuel sensor, drivers had to guess when to refuel and how much fuel to add back into the tank. This led to frequent under or overfilling of the tanks, causing operational delays and increased downtime. The mine needed a solution that could withstand the pressure from the fast refueling system, relay fuel level and truck location data back to a centralized application, and include a user-friendly interface for monitoring.

4flow, a leading global provider of supply chain consulting, software and fourth party logistics (4PL) services, was facing a challenge in managing logistics networks proactively and efficiently due to a lack of real-time visibility. This lack of visibility resulted in increased costs from deviations and exceptions, such as late penalties and dispute management costs, and in worst cases, extended supply chain disruptions. Late identified delays meant the time needed to take preventative measures was lost, potentially leading to late fees and penalties. If shipping status data was not automatically exchanged between supply chain partners, time-consuming manual communication between carriers, customers and transport planners was also required. Additionally, carrier performance was difficult to manage without objective data. As a neutral 4PL that is not fleet-based, 4flow did not have access to real-time transportation data and was looking for a strong partner to provide visibility to its customers.

Hyundai AutoEver, a key player in supporting Hyundai Motor Group’s IT initiatives, was faced with the challenge of modernizing their applications and technology to provide personalized digital experiences for drivers. With over four million Hyundai vehicles connected to the cloud, a number expected to increase annually, the company needed to strengthen their expertise in embedded automotive software to bridge the gap between the car and mobility ecosystems. A specific 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.

The client, a security service provider, required a web portal that could manage different user roles and integrate with Customer Premise Equipment (CPE) to manage various services. The portal was expected to offer service desk functionalities and integrate with third-party systems for implementing SMS functionality. The client's customers are organizations that have one or more CPEs and avail different services from the client. The client's business solution is a combination of hardware and software components providing security services and the ability to manage service configurations. The service subscription and service delivery of all office security service-related reports/analysis is controlled from the client’s cloud infrastructure.

A technology company faced a significant challenge after merging with another organization, which resulted in the doubling of their third-party ecosystem. Prior to the merger, the company had an efficient third-party program that included an in-house assessment working in tandem with a GRC tool. However, the merger put a strain on this system as the number of third parties in their ecosystem doubled. The company's team was unable to scale their current program to effectively manage their new vendors due to a lack of increase in human resources. The company was in need of a solution that could seamlessly integrate with and scale their process, enabling them to apply the right level of due diligence across their new and expanded ecosystem efficiently.

Digitalli, a Paris-based audiovisual communication company, specializes in creating, designing, and producing point-of-sales films and adverts for luxury retailers. The company faced a significant challenge in monitoring its installed equipment to ensure its proper functioning. Any sudden malfunction could negatively impact the consumer experience, the visual aesthetic of a store, and ultimately, sales and brand image. Regular maintenance checks and fixing screens during unexpected outages proved to be expensive. Digitalli sought an IoT solution with an advanced management platform for remote monitoring of all network assets. However, deploying an IoT solution in a retail environment was not straightforward due to the need for multiple internal approvals and security clearances. Digitalli wanted to implement a cellular connectivity solution to connect its assets independently of its retail partners' systems. However, managing multiple SIM vendors and product inventories, tracking costs across different jurisdictions, and monitoring data consumption posed significant challenges.

Qlik, a leading data integration and analytics platform, was facing the challenge of expanding their cloud footprint while ensuring a cohesive, enterprise-level cloud security strategy. The company, which has grown significantly since its inception in 1993, was already using cloud services across various departments, including Research and Development (R&D) and Security teams. However, they recognized the need for holistic guidance to ensure the adequate protection of their cloud resources and data. As Qlik continued to grow as a Software as a Service (SaaS) technology provider, the use of cloud providers like Azure and Google Cloud Platform also expanded. The challenge was to maintain consistent control of their cloud environments and expand their cloud security best practices into these new environments.

The customer, a leading American manufacturer of connectivity solutions, wanted to expand their business to the enterprise segment by launching a unique smart modular lighting solution for interconnected commercial spaces such as modern workplaces, data centers, educational institutions, and healthcare facilities. They also needed a solution to lower the energy consumption of their existing IT infrastructure thereby reducing operational costs. The customer was looking for a comprehensive smart lighting solution with faster connectivity, interoperability, and high energy efficiency. The challenge was to develop a solution that could integrate with the existing infrastructure, provide in-depth analytics, and offer a user-friendly interface.

The multinational manufacturer was grappling with a complex and unmanageable network infrastructure due to the presence of thousands of subscriptions on multiple clouds. The company's network was organized to support innovation across various verticals, but the lack of visibility into the cloud subscriptions posed a significant challenge. The cloud and networking teams needed to manage the allocation of IP addresses and namespaces to avoid conflicts and respond securely to queries across on-premises and the cloud. They also needed to track usage for service health, security, and compliance purposes. However, the cloud service providers (CSPs) were not cooperative in providing the multi-cloud visibility they required.

The customer, a leader in security systems for highly secure commercial installations, was looking to leverage advancements in machine learning, artificial intelligence, networking technology, and sensors to develop a comprehensive surveillance system. The system was to be deployed across various sites and required stationary components like surveillance towers and a robust back-end cloud infrastructure. The primary challenge was to ensure secure and reliable high-speed connectivity for the system, which was crucial for real-time data collection and transmission.

Cuerva Distribution needed to have real-time data (<1 minute) from the line cells of its substations and fault detectors in order to obtain instant alerts regarding supply quality: surges or drops in voltages or intensity, neutral currents, etc. Traditionally, all these data are processed through SCADA, a rather rigid system which does not allow for custom events and alarms to be configured. Due to software limitations, it took around 15 minutes for the data to transfer from SCADA to a database.

ER24 wanted transparent voice connectivity independent of whether there was a network failure from their Telco providers. ER24 required SIP based connectivity across fibre as a primary out and inbound solution while maintaining Telkom PRI’s as redundancy should Activate Telecoms’ SIP network be unavailable.

Blackstone, a leading investment firm, faced a significant challenge in managing its third-party cyber risk. With a rapidly growing business, a robust vendor ecosystem, and a portfolio of over 100 companies, Blackstone needed a solution that could efficiently and effectively manage its third-party cyber risk. The existing risk management program, initiated in 2012, was based on spreadsheets and phone calls, which was not scalable to keep up with the 4 to 6 new vendors coming on board every month. This challenge was not unique to Blackstone, as their entire portfolio of companies shared the same issue. The companies were using different methodologies to support their risk programs, there was a lot of overlap among common vendors being assessed by multiple companies, and findings from assessments were rarely shared.

In 2016, Arizona Public Service (APS) decided to enter the California ISO (CAISO) market, which allows them to sell power into the California market. One of their key assets was Sundance, a 420 MW unmanned peaker plant located 50 miles outside Phoenix. The entry into the CA energy market meant that starts tripled and run hours doubled almost immediately at the plant. They started looking for wireless Predictive Maintenance (PdM) system because the running hours were typically when no one was on site, which meant that traditional forms of PdM were not possible. Typically, a specialist would collect vibration and other condition data on equipment, but it had to be taken during operation, and it was difficult to get personnel out to the site.“Reliability was foremost on our minds,” commented Don Lamontagne, Supervisor of Equipment Reliability Engineering. “We faced huge loss of potential revenue, as well as fines if we weren’t able to generate power when it’s needed.”

DOEE identified intelligent retention as an important option for limiting wet-weather discharge, storing water on-site for use, and informing future improvements to District infrastructure.

Vodafone Hungary, after acquiring UPC Hungary, was faced with the challenge of transforming, rationalizing, and consolidating its complex IT and operational support system (OSS) landscape. The company needed a middleware solution that could manage its nearly one million subscribers and cater to fixed voice services as well as cable and gigabit passive optical networks (GPON) network based broadband services. Other transformation goals included bulk order management, legacy service migration, maintenance of service and resource inventory, and fixed IP address management. The challenge was to simplify the order orchestration process and streamline the operations.

Chamberlain is the world’s largest garage door opener manufacturer. The company sells its products under several brand names and channels and is popular both for DIY and professional installations. After intensive market research among homeowners, Chamberlain confirmed a common usability issue that impacted a significant majority of its customers: the “U-Turn Problem”.A few minutes after leaving their home, most garage door opener owners experience a nagging worry about whether they closed their garage door. Many homeowners will actually turn their car around and drive back home just to double-check. Wanting to improve the consumer’s user experience with their products, Chamberlain’s connected garage door opener project was born. Chamberlain now markets their Internet-connected garage door openers as a “peace of mind” purchase and reports that their customers open the app an average of four times per week.

Oil and gas producers face serious consequences if a downhole safety valve fails. In many cases, both company policy and government regulations require the well to be shut in for safety and environmental reasons. Some intervention-based tools allow the well to return to production, but unfortunately these tool designs, often decades old, are fraught with technical challenges, which can diminish the total production potential of the compromised well and the range of the well’s functionality.Tendeka, a provider of completions technology to the oil industry, developed an innovative smart valve that relays information bi-directionally from the downhole to the surface and can also be controlled wirelessly from the surface. The valve transmits regular wireless signals to the surface, which convey important information about downhole conditions and well operations. The valve allows wells to be returned to production during testing, while also providing the required downhole closure capability, should it become necessary to shut in the well. With this deployment of Electronic Ambient Valve (EAV) and Edge Data Storage (EDS) technology, Tendeka wanted to prove that continuous monitoring of the valve function could be conducted by both the operator and Tendeka personnel in headquarters.