The client, an IT automation platform, was faced with the challenge of discovering, managing, and securing its enterprise infrastructure. The client was seeking a solution that would ensure consistency throughout the platform, modernize their legacy enterprise solution, provide a pixel-perfect design solution, and offer a scalable frontend architecture. The client's needs were complex, requiring a solution that could accommodate the collaboration of over 30 teams across various geographies. The challenge was to create a system that was not only efficient and effective but also flexible enough to scale up or down as needed.

Jupiter Shop Channel (JSC), Japan’s first television shopping network, was facing several challenges in executing its omni-channel strategy for unified shopping across TV and e-commerce. The company needed a platform that could convert data into actionable insights, simplify workflows, boost interdepartmental collaboration, and improve customer engagement. The IT staff was burdened with increasing workloads, especially in failure investigation, after the launch of an e-commerce site to support the omni-channel initiative. The company was using Zabbix, a software tool for detecting system errors, but it was not effective in handling disparate data sources across multiple servers and operational silos. The IT team had to manually correlate access logs and application logs before they could analyze failures, which was time-consuming and challenging.

Competent Software, a US-based Business Process Outsourcing company, was facing challenges in managing its complex and unpredictable workflow. With over 2000 employees worldwide and over 100 million transactions per year, the company needed to simplify its processes. The company aimed to maintain a high standard of efficiency and eliminate inconsistencies. The challenges included adding business value to their core HR application, addressing complexities in absence management, providing Employee Self Service access with necessary approval workflow, systemizing production workforce planning and scheduling, maintaining a 360-degree Performance Management System with incident tracking, creating and maintaining panels/committees online, and finding a system flexible enough to work around the existing system.

In 2019, Open Universities Australia (OUA) decided to transition from live chat to conversational messaging, coinciding with the rebuilding of its digital platform. The goal was to enhance service for the 25,000 students they were catering to at the time. However, the contact centre required all students to create a new password, a task that posed significant challenges in a non-automated world. Additionally, OUA was using Facebook ads that linked to a form, which then funneled details to an outbound team for follow-up. This method was not particularly effective in terms of sales or user experience.

Ausgrid, Australia’s largest public utility, embarked on an ambitious $800 million upgrade project, codenamed CityGrid, aimed at supplying sufficient power to Sydney’s central business district through 2024 and injecting extra backup capabilities into the power grid for optimal future reliability. The project involved constructing up to four new interconnected substations, replacing and upgrading key high-voltage cables, and adding a new 8-kilometer City East tunnel. During the construction process, teams were working up to 55 meters below the surface, and maintaining open communication between the maintenance staff and teams working deeper within the tunnel was a challenge. Ausgrid used a simplex radio channel via the New South Wales Government Radio Network (NSWGRN) for this purpose, but this method had major drawbacks and limitations. It drew maintenance staff away from their daily monitoring and repair duties, forcing them to rely on land lines, escorts, and face-to-face meetings to connect with tunnel construction teams.

Toshiba was faced with the challenge of building the next generation of its TCx™ Sky retail optimized operating system. The new system needed to provide stability, security, and performance for today’s widely distributed Point of Sale (POS) systems and also serve as a foundation for emerging IoT innovations such as biometrics and anonymous facial recognition. With TCx Sky powering over a million checkout lines and running a streamlined embedded Linux kernel suitable for retail applications, Toshiba needed a technology partner to help it keep up with the constant evolution and security monitoring associated with embedded Linux deployments. The challenge was further compounded by Toshiba's diverse customer base, which necessitated the constant release of new products to keep up with the latest silicon and security features.

Trasporti Romagna, an Italian logistics and transport company established in 1923, was seeking ways to increase the efficiency, security, and reliability of its fleet operations. The company aimed to expand its market share and strengthen its competitive edge. However, the legacy telematics system they were using was a significant obstacle. It offered poor visibility and usability, and lacked the integration of dash cams with the operations platform. This outdated system was hindering the company's ability to monitor and manage its fleet effectively, thereby affecting its overall operational efficiency and safety.

Competent Software, a US-based Business Process Outsourcing company, was facing challenges in managing its HR processes. With over 2000 employees worldwide and over 100 million transactions per year, the company was dealing with a high level of complexity and unpredictability in its workflow. The company was in need of a solution that could simplify its processes, add business value to their core HR application, address complexities in absence management, provide Employee Self Service access with necessary approval workflow, systemize production workforce planning and scheduling, maintain a 360-degree Performance Management System with incident tracking, and create and maintain panels/committees online. The solution also needed to be flexible enough to work around the existing system.

Schüttflix, a German logistics start-up, aimed to disrupt the traditional construction supply chain by digitizing the industry, which was primarily reliant on pen and paper processes. The company's mission was to enable data-driven decision-making by providing stakeholders with accurate and timely data. The challenge was to build a modern data stack that could tap into key data sources efficiently and reliably. Alexander Rupp, Head of Data and Business Intelligence at Schüttflix, was tasked with evaluating connectors that could meet these requirements.

Acxiom, a company that designs and delivers customer intelligence solutions, is heavily invested in digital technology. With a business built on the ethical use of data, Acxiom faces the challenge of constantly evolving security threats. The company needed to ensure the protection of its customer data and insights into customer behavior. The challenge was to find a partner that could provide cutting-edge and next-generation technologies to keep up with the ever-changing threat landscape. Acxiom required a solution that could not only defend against attacks but also align with the different changes in the threat landscape.

Patient cost savings are attributed to the fact that GDI is not owned by a hospital network. To drive superior quality of service and patient care, in 2017 GDI embarked on an enterprisewide ‘data-driven initiative’. GDI sought to set a financial and operational course to leverage consumption and usage of analytics for its biomedical engineering teams with machine data analytics to achieve true predictive maintenance on the imaging machines as well as drive superior patient care through deep analysis of its physician referral networks.

Eastridge Workforce Solutions, a provider of workforce management services and technologies to over 1,300 clients across North America, faced a critical challenge with its time and attendance system. This system, which processes transactions from thousands of people 24/7, 365 days a year, verifies employee attendance and records their time to generate accurate payrolls. Any downtime in this system would be catastrophic, causing significant disruption to Eastridge and its clients. The company needed a high availability/disaster recovery (HA/DR) solution that would ensure the system and its associated data would always be available, regardless of any potential disasters or scheduled maintenance. However, HA/DR was not a core competency for Eastridge, and the company did not want to distract its IT group from its primary business objectives.

Kustomer, a company that unifies data from multiple sources to deliver consistent and personalized service and support, was in the process of building a new office space. They were in search of an access control solution that would provide a seamless experience for their employees. The challenge was to find a solution that would allow them to scale with their expanding team while also providing the security needed to remain PCI compliant. The company needed a system that would not only be user-friendly but also robust enough to protect sensitive customer information, as they manage customer support for a lot of high profile direct-to-consumer brands.

Unable to deliver the production quantity in the expected time by maintaining the scheduling parameters and level the capacity parameters too.The customer should place the sales order in the first plantThe manufacturing of the products should be done in different plants (i.e. assembly of the product happens in the plant (first) and semi-finished products are produced in another plant (second)The demand from the first plant should come to the second plant, and it needs to be produced by them according to the requirementAfter manufacturing the semi-finished product, the products from the second plant stock should be shipped (stock transport order) to the assembly first plant for the assembling process

GumGum, a company that uses artificial intelligence to determine the context of a webpage and match targeted ads, faced a significant challenge in managing its computing infrastructure. The company's proprietary AI services required a large volume of computing infrastructure with variable demand. While AWS cloud was a solution, the costs were high, especially for AI workloads using GPU instances. The company's success led to rapidly increasing costs in line with the demands on their highly scalable infrastructure. The demands were cyclical, with ad serving varying throughout the year. At peak times, GumGum's Ad Server application received over 18 million requests per minute, requiring more than 130 AWS virtual machines to be provisioned. The company's costs grew to around $120k per month for EC2 on just one of their four Ad Server data centers. GumGum needed a solution that would help them use spot instances, save money, be easy for limited staff to use, and guarantee uptime.

A global electronic commerce and cloud computing company was facing significant service issues on its leased dark fiber, which interconnects their global data centers and transports all network services and applications for their customers. The company was experiencing several network outages due to fiber breaks, which affected many of their customers who could not access the website or their applications. The company's dark fiber vendor was often slow to dispatch a technician to troubleshoot the network, sometimes taking hours or even days. The service troubleshooting and restoration was so poor in some areas that the company decided to find their own fiber monitoring solution to quickly pinpoint issues and push dark fiber vendors for faster mean-time-to-repair (MTTR).

Clair Global, with its rich history of over fifty years in delivering portable connection services for live events worldwide, faced a significant operational challenge due to its complex network of carrier partnerships. Each carrier came with its own SIM card, billing system, and account manager, leading to substantial operational overhead. The company's involvement in large-scale events like Coachella and the Formula 1 Miami Grand Prix necessitated a seamless and reliable connectivity solution that could operate consistently across various global locations. Managing different SIMs, juggling data limits, and handling diverse billing systems across numerous carriers presented a logistical headache for Clair Global, hindering their ability to provide the high-quality, reliable service required for the success of large-scale productions.

Whether big or small, a Digital shift is always difficult to carry out. We aimed for a digital transformation thus increasing the internal operational efficiencies by introducing self-service and automation, and improving the client experience. Moreover, the utmost challenge was to carefully Validate the single-digit precision of results by rounding off the numbers in calculations for efficiency and accuracy.In the end, Sifars was looking for a reliable way to register customer data securely while naturally engaging them for their daily tasks.

Experity, a dynamic Health Information Technology company, was formed from the merger of the two largest urgent care Electronic Medical Records (EMR) companies in the country. The merger led to a rapid expansion of personnel, office locations, software, and services, creating unique challenges for the security team. The team was tasked with protecting the company from loss events of any kind, requiring business continuity and standardization. The small security team was overwhelmed with the task of managing security operations and building resilience in their security program. The company's growth also meant that the security team needed a platform to vet alerts from the increasing number of employees and contractors. The existing Managed Detection and Response (MDR) platform was inadequate as it only monitored network and server activity and not endpoint activity.

TLC’s approach to organizing high-quality data for analysis and distribution across the company and to clients was both labor-intensive and extremely time-consuming. Client data wasn’t being retained in any real meaningful fashion with data analysis and reporting was mostly done manually and managed in extremely complex Excel spreadsheets.On top of this, report delivery was done on a monthly basis by email and the sheer size of the spreadsheets was becoming problematic. Their data was triple the size of what any cloud-based system could handle and the need for superior reporting and analysis in a timely fashion to maximize fundraising was imperative.

Honeywell, a Fortune 500 company specializing in diversified technology and manufacturing, was in need of an enterprise remediation data management system. The company sought a system that could safeguard and maintain the quality and integrity of their significant investment in generating site remediation data. They also wanted to ensure that this data was available for future use and could assure business partners of its reliable quality. Honeywell's existing data was scattered across stand-alone consultant systems, spreadsheets, and paper records, making it difficult to access and share within the company.

neurothink, a US-based start-up, aimed to make machine learning (ML) and artificial intelligence (AI) 'radically accessible' to a broad audience, including data scientists, enterprises, students, and hobbyists. However, the barriers to entry into ML were high due to fragmented platforms, scarce access to powerful GPUs, and a steep learning curve for creating and training models. Additionally, neurothink faced the challenge of delivering a robust, enterprise-capable platform built on start-up resources. They needed an automated, efficient platform that could deliver huge amounts of compute power in a secure environment. The company also needed to ensure a quick market entry to seize the first-mover advantage, which required a superior product and the right partnerships.

EFL S.A., a leading leasing company in Poland, was looking to upgrade their data warehouse system, a crucial component of their operations. The company was considering a full migration to Snowflake, an innovative data warehouse solution. EFL's data warehouse is large and complex, with multiple departments requiring access to different parts of it. The company wanted to verify the effectiveness of Snowflake's tools in managing this complexity. They also wanted to assess whether Snowflake could meet their needs in terms of functionality, performance, and cost-efficiency. It was important for EFL to get an independent expert opinion and not rely solely on the data and materials provided by the vendor. They chose Objectivity for this task, due to their successful past collaborations.

The client, a leading service provider in the UK, was facing significant challenges due to the complexity of their network. This complexity was a result of multiple acquisitions, technological disruptions, and a multi-vendor ecosystem with varied architectures. The client lacked visibility into their network service operations, which made it difficult to meet the demands of their enterprise customers for faster and more reliable network services. The client's network was built through discrete projects run by multiple vendors, leading to obsolete and siloed network technologies, tools, and processes. This resulted in slow delivery and operations, overdependency on manual efforts, delays in service delivery, frequent network issues, and lengthy restoration times.

The City of Akron, Ohio, faced a significant challenge when the COVID-19 pandemic hit. With a workforce of about 2,100 full-time and seasonal employees across various divisions, city officials had to make quick decisions to protect not only residents but also its employees. The initial stay-at-home orders issued in March 2020 necessitated accurate, real-time data to make important decisions on how to bring employees back to work and support active city employees. The city needed to determine which employees were essential and nonessential, manage benefits for essential employees, and track leave types to analyze its impact on staffing levels and overtime costs. However, the city's legacy applications made access to real-time data for decision-making difficult. The process of obtaining personnel data was time-consuming and involved several steps, including requesting reports from the appropriate staff member or department or directly accessing the database to pull data into a CSV format.

Proximus, the largest internet service provider (ISP) in Belgium, embarked on a network function virtualization (NFV) initiative in 2018. The project involved deploying various telecommunication applications using a cloud infrastructure, including virtual IP multimedia subsystems (vIMS), and software-defined wide area networking (SD-WAN). However, migrating complex physical ISP networks to a new network with virtualized functions was a long-term project, taking several years. During this transition, Proximus faced the challenge of maintaining the same visibility and analytics across both physical and virtual functions. The company had deployed several traffic analytics probes that relied on physical taps, tap aggregation switches, and Keysight Vision network packet brokers in the legacy environment. However, in the new virtual environment, network functions ran as virtual machines (VMs) on the same physical server, and the east-west traffic did not cross any of the physical links where the physical taps would have been located. Proximus needed to maintain the same level of visibility in the virtual environment as in the physical one, while also containing the total cost of ownership.

Interfolio, a software service provider for higher education institutions, faced a significant challenge as its user base and data volume grew. The company needed a modern data strategy that could unify internal data, streamline reporting processes, and be flexible and scalable enough to serve as an embedded solution within the Interfolio platform. The primary challenge was selecting a BI platform and a cloud data platform that could handle multiple data sources, model complexity, and enable straightforward dashboard creation. The company had been using a competing BI vendor and an in-house solution for managing their consumer-based SaaS metrics and reporting, and for managing reporting data for quarterly business reviews. However, as data sets grew exponentially, these solutions were no longer performant or scalable.

A large power utility in Hawaii was grappling with the challenge of frequent equipment failures that occurred between their scheduled quarterly walkaround condition monitoring routes. The company, which operates several combined cycle natural gas fired power plants, was seeking a more efficient and reliable solution for condition monitoring on their Balance of Plant (BOP) generation assets. The assets included a critical Boiler Feed Pump (BFP), motors, several condensate pumps, heat drip pumps, auxiliary cooling water pumps, and half-a-dozen forced draft fans. The main issue was that significant equipment failures were happening in the intervals between their scheduled condition monitoring, leading to unplanned downtime and operational inefficiencies.

Aker Solutions, a global leader in providing subsea production control systems for the oil and gas industry, was facing a challenge with the increasing sophistication of its products and control technologies. The offshore oil and gas production environment is one of the most demanding engineering environments, and the rising complexity of Aker's products was creating a growing need to store, manipulate, and share data across networks of devices located on the seabed, on production platforms, and onshore. To meet the demands of future product generations, Aker Solutions identified the need for a new database management system that could handle high volumes of data, be compatible with embedded and conventional systems, and maintain data integrity in the offshore environment where communication links may suffer disruption and interruption.

VMware was undergoing a significant digital transformation to support its business model transition from perpetual-license software to subscription and software-as-a-service (SaaS). The VMware IT team was tasked with delivering new capabilities in an accelerated timeframe while improving performance, resiliency, and user experience. One of the apps modernized was VMware Customer Connect, a self-service portal accessed by millions of users each month. Since its launch a decade ago, the portal experienced exponential growth in traffic, leading to scalability and performance issues, outages, and latency. Its legacy codebase and monolithic architecture made it difficult to build and deliver new features. To enhance the platform’s performance and security in the short term, VMware added third-party software tools. However, a lack of integration and other inconsistencies added to the platform's complexity.