SportsVTS, a US-based company that creates simulated reality training experiences, aimed to develop a VR solution that would enable players to minimize the injury risk and maximize their performance by training in virtual reality. The primary business goal was to create a realistic training simulation to enable a quarterback to master various techniques within a controlled environment and improve his playing ability without the risk of injury. The challenges included developing an AI component to maximize user experience realism, using full-body 3D scan for highly-detailed and hyper-realistic character models, applying corrective BlendShapes for recreating the player’s skeleton and body, using Locomotion Extend System to allow the player to access any part of the field smoothly, developing the character customization system based on real NFL players, tracing the ball trajectory to re-create it with maximum accuracy, integrating the experience with VR hardware, and developing functionality for setting 21 other players on the field.

The client was in need of a more flexible system for creating and managing template documents within the Content Server environment. They wanted to ensure that typical documents always maintained the same structure with some essential elements, and only designated sections of the document were editable by the staff. The client already had their client information stored in Content Server, and they needed to develop functionality for creating legal contracts using this information. The requirements included having a list of predefined contracts available from the standard Content Server interface, both flexibility and control when creating legal documents, a legal contract should have predefined static parts and provide the possibility to change customer-specific parts of the contract, the ability to create documents fast and represent their specific relationship with each specific contractor, and keeping the list of templates short, so expanding the list of contract templates for each contractor wasn’t an option.

The client, a large insurance company, had recently merged with another insurer. The merger necessitated the completion of an OpenText Exstream 16.2 migration project to transfer content assets from the subsidiary to StreamServe, the parent company’s Customer Communication Management (CCM) platform. The primary challenge was to ensure seamless cooperation with customers despite the necessary changes in their ERP tools. The client required a CCM solution that could integrate content assets from two different systems, HP Exstream and StreamServe, without any disruption to their operations.

Egston, an Austria-based electronic manufacturing company, was faced with the challenge of updating their entire line of power supplies to comply with new norms on electromagnetic emission and efficiency. The company produces a wide range of units with varying voltage, functions, and efficiency, which added to the complexity of the task. The impending issuance of new norms and regulations in Europe necessitated a swift response, and the company had to meet a tight deadline. To augment their development team and meet these requirements, Egston sought the assistance of external resources.

The Drummer Agency, a London-based charity consultancy, was seeking to create a virtual reality (VR) demo that could realistically portray the life of local African communities. The aim was to use this VR experience to accelerate the fundraising process by giving potential donors a firsthand experience of the communities they would be supporting. However, the agency faced several challenges. Firstly, they were unfamiliar with the capabilities and limitations of VR technology. Secondly, they had a very tight deadline to meet, as they needed the demo ready for an upcoming exhibition of major charity organizations. Lastly, they wanted the demo to be as realistic as possible, with photo-realistic characters and assets, which posed a significant challenge given the hardware limitations of VR technology.

The client, a leading luxury store chain operating in over 100 countries, was facing challenges in analyzing the pricing policies of their competitors. They were using a third-party platform to retrieve competitors’ pricing data to develop their own pricing strategies and increase sales. However, the platform had limitations in expanding the number of competitors in pricing reports and had an insufficient accuracy level. The products mentioned in the reports matched the client’s products only by 70%. Moreover, the solution did not meet the client's accuracy requirements as it generated reports only on a daily basis and lacked real-time reporting. The client needed a solution that could provide near real-time reporting and more accurate competitor pricing data to improve their pricing strategies.

MindArk, a renowned PC game developer, wanted to expand its reach by creating a cross-platform mobile solution. They aimed to develop a strategy game with city-building elements, turn-based battles, and appealing game art. The game, named ComPet, was envisioned to allow players to collect and train pets, participate in quests and battles, and defend their villages. The client also wanted to link ComPet to their successful multiplayer game, Entropia Universe, by including some of its characters. Furthermore, they wanted to enhance the user experience with features like real-time weather effects and an efficient game admin system for smooth operations post-launch.

Disruptive Interactive, a game development company, was seeking to create a unique 2D multiplayer game for iOS and Android platforms. The game, named Lohko, was envisioned as a blend of classic snake and chess games, with the added complexity of artificial intelligence (AI) and multiplayer functionality. The main challenge lay in designing a natural multiplayer experience and building a robust AI with several distinguishable difficulty levels. The AI needed to be capable of calculating probable outcomes and predicting possible scenarios, thereby increasing the game's difficulty as players improved their skills. Disruptive Interactive needed a reliable development partner to implement this high-quality solution quickly and efficiently.

Global manufacturers like BMW face a complex optimization problem: scheduling their workers to achieve production targets while minimizing idle hours. The challenge lies in the wide range of possible configurations and numerous constraints. Different shops have varying production rates, and each has their own discrete set of shift schedules. Furthermore, manufacturers need to prevent overflows and shortages in the buffers between steps in the manufacturing process. The complexity of the problem is further compounded by the need to optimize across multiple variables and constraints, making it a difficult task to solve using traditional methods.

ITOCHU Techno-Solutions (CTC) operates the Technical Solution Center (TSC), a comprehensive facility that allows client companies to evaluate and verify systems to be introduced using actual equipment. It is Japan's largest verification facility for a multi-vendor environment and offers full technical support from experienced engineers. In recent years, the TSC has seen a significant increase in the number of AI/deep learning verification projects, and opportunities to verify data and service integrations between the TSC system and public cloud services like AWS, Microsoft Azure, and Google Cloud Platform. This growing need for verification of hybrid cloud and AI/deep learning drove CTC to create a new verification environment, AI_LAB, in late 2018. AI_LAB was designed to verify large-scale AI utilization and to build learning models. However, the challenge was to establish a system that could handle the advanced verification requirements of AI/deep learning.

The challange was to build first smart city in India?

In the product assembly operation involving people in the factory production line, the general actions usually include fixed operation procedures such as: reaching out, grasping, moving objects, assembling. After the operator works for a long time or is disturbed, the assembly action will be omitted and it might cause misoperation. It's also necessary to identify the problems existing in the action through action analysis so that the sequence and method of the action can be improved.

At present, the field of automotive intelligent manufacturing is facing two major difficulties and pain points:First, the production line equipment is prone to failure and has a serious impact. Once the current production line equipment is shut down due to a fault, it will affect the production rhythm and reduce the output, or cause production stoppage in the worst case, causing huge losses to the manufacturer. Monitoring the performance status of production equipment and predicting faults is the key to ensuring the reliability of equipment to achieve normal production and operation.Second, it is difficult to realize automatic and flexible production changeover for traditional single-production lines. The traditional multi-variety manufacturing needs to build a separate line, the cost of production line construction is high, and the new product launch cycle is long, and it is increasingly difficult to adapt to the requirements of multi-variety, variable batch, equal emphasis on research and production, and mixed-line production mode.

Crank Software wanted a high-performance static application security testing (SAST) tool to advance the integrity of its code. It was critical that they found a solution that was not just technically sophisticated, but one that could be easily integrated into their cultural, technical ecosystem, and DevSecOps workflow. This includes a vigilant team of around 40 developers, including junior coders who employ a “test early and often” mentality and operate with a mindset of delivering strong, reliable, and secure code.

Standard Industries, a global industrial company with over 15,000 employees across 184 locations in 80 countries, was facing significant challenges in streamlining communications and collaboration. The company was struggling with the simple task of scheduling a senior leadership meeting, which required several executive assistants to coordinate over the phone to determine availability. Furthermore, the company was dealing with over 28 active directory environments and four different mail and collaboration platforms across the organization. The need for a single, unified collaboration tool that could be used across all their locations on four continents was evident.

A global automotive component manufacturer was facing a significant challenge in maintaining high First Pass Yield (FPY) rates in their production lines. Despite having real-time monitoring displays and an in-house analytical tool, the company was struggling with functional test failures that led to FPY rates dropping below 90%. The company spent approximately six months trying to identify the root cause of the issue, which turned out to be a faulty fixture in the functional test systems. This lengthy process involved extensive manual data aggregation and transformation, and required the production line to be shut down for troubleshooting. Even after identifying the issue, the company had to perform monthly maintenance on all fixtures in the functional tester lines to mitigate the FPY loss.

North Texas Pressure Vessels, Inc. (NTPV) was facing a significant challenge with their inventory management. The company had no inventory management system in place, leading to inaccurate values and quantities of inventory. There were no item numbers, and purchasing relied on multiple spreadsheets to determine if there was enough inventory on hand for the production schedule. Inventory costs were not accurate and not up to date, which led to difficulties in pricing jobs accurately due to the lack of true costing of the inventory. The company's existing system, Sage 50, did not have the necessary functionality. Furthermore, the cost of processing Purchase Orders was extremely high, indicating inefficiencies in the purchasing activities.

The company faced currency issues around conversion and consolidation, processing issues due to everything taking place outside the system, and a complete lack of mobile functionality. Hallstar also needed the ability to tap into advanced analytics and web-based services, integrate with third-party packages, and ultimately remove siloes from its workflows. 

New Ocean needed a platform that would enable them to visually design and code their Insight Engine, which all of their data streams or inputs feed into. The Insight Engine determines a number of things including whether an activity or challenge is complete or rewards have been met. Messaging is created for chronic condition cases, reminding users to do things with pop-up messages. Tracking is set up for monitoring how users are doing against goals, such as running three days a week for four weeks, to satisfy rewards. The rewards depend on the company and there are three basic reward types that are built into the application. These include dollars, badges, or points. New Ocean wanted to house downstream business logic in a single system and they decided to look into a rules engine.

A Minnesota casino wanted to replace their player’s club reward card printers. The company’s existing printers required employees to change the card stock type each time a new rewards-level card needed to be printed. Additionally, the printers were aging and continually breaking down, and the casino wanted to streamline its card issuance process and not be tied to using custom printer software.

Wintrust Financial Corporation, a financial holding company with over $45 billion in assets, was seeking to enhance their data and voice networks to support their continuing growth. The company was looking for a more effective, stable network that could support its operations and pave the way for future expansion. As the company grew, officials wanted to ensure stable and consistent network performance and prevent any points of failure. The challenge was to find a solution that would provide highly secure, scalable, and reliable connectivity, while also supporting the company's expanding business.

MindMax, a company that partners with universities to increase enrollment, particularly among continuing education and adult learners, faced a significant challenge in scaling its customer base. The company's legacy analytics and BI solution required manual extraction of data from disparate sources, including Salesforce, Google Analytics, Facebook Ads, LinkedIn, and Marketing Automation systems. This process was time-consuming and inefficient, making it difficult to create meaningful reports and dashboards that incorporated data from all these different sources. The company's VP of Technology, Brian DiScipio, and Senior Business Analyst, Kiersten Warendorf, recognized the need for a cleaner, faster way to empower their customers with data-driven insights. They knew that the full automation of BI and ETL through the creation of a modern data pipeline and stack was crucial for the company's growth.

China Railway Corporation, the world's leading railway network, faced significant challenges due to its large business scale. The company's IT infrastructure was under pressure to deliver higher performance, stability, safety, usability, and extensibility. The company's IT development journey moved from mainframe computers to minicomputers, and then to the x86-based OpenStack platform. However, this transition presented several challenges. The traditional project-driven IT infrastructure construction mode was resource-intensive and complex. The migration of a large amount of data and applications from the minicomputer system to an open source environment with x86 servers was problematic. The OpenStack modules were loosely coupled and unstable, and there were bottlenecks in large-scale cluster deployment. Additionally, there was a shortage of OpenStack technical experts and talent, which limited early operation and management and slowed the development of tools for daily automatic operation.

Vasiliy Karpitski and Alexei Dulub, entrepreneurs and blockchain enthusiasts, identified a significant challenge in the rapidly growing NFT market. The NFT market, which hit $17.6 billion in sales in 2021, has attracted a large number of creators, businesses, and investors. However, the rapid growth of the market has also led to an increase in scams and fraudulent activities such as blacklists, wash trades, and duplicates. This has made it difficult for NFT buyers, creators, and businesses to make quality investment decisions and avoid risks. To address this challenge, the entrepreneurs decided to develop a smart solution that would help NFT investors make informed decisions by providing them with actionable data on NFT collectibles, their provenance, and ownership.

Kaunas, the second-largest city in Lithuania, is strategically located in the center of Europe, making it a crucial hub for logistics, economic processes, and innovation flows. Despite its small population of around 400,000, the city's location makes it significant for all of Europe. However, Kaunas faces several challenges. It has a growing elderly population, a deteriorating infrastructure, and a rapid increase in car numbers. Environmental issues such as global warming, air pollution, and water supply are also pressing concerns. The city's heating system, which serves nearly 90% of residents, faces problems with uninterrupted water supply and power consumption. Kauno energija, a company that has been operating in Lithuania since 1963, has been instrumental in improving community services and contributing to cost savings from the city budget. However, the need to integrate an IoT network to address these challenges is evident.

Teradata Corporation, a leading analytic data solutions company, was facing a significant challenge. The company had developed and supported its own version of UNIX, called “MP-RAS,” to meet the scalability, security, and flexibility demands of its customers. However, maintaining security and function updates for MP-RAS was becoming increasingly complex and problematic. Furthermore, Teradata's customers were concerned about speed and staying up-to-date, which led to the company constantly trying to push performance. The complexity of managing, supporting, and driving MP-RAS was escalating, and Teradata needed a more efficient solution to meet its customers' needs.

La Poste, France’s largest mail delivery provider, was facing challenges with its delivery process. The company, which employs over 90,000 mail and parcel carriers, is responsible for delivering 23 billion items annually, making operational efficiency a top priority. The carriers relied on low-end smartphones with an Android application integrated with open-source barcode scanning software for proof of delivery, track and trace, and other workflows. However, the scanning speed and precision were not up to the mark, leading to delivery errors. Misdelivered mail or parcels not only cost the company time and money but also affected its reputation. La Poste wanted to compare the performance of smartphones using open source scanning against those using proprietary software across a wide variety of devices, under a range of challenging real-world conditions.

The X Company, a national network of social clubs and private residences, was facing a significant challenge in integrating disparate access systems without compromising the user experience. The existing access control systems were primarily focused on individual unit doors and lacked the necessary security features for busy lobby and amenity spaces. The challenge was to create a fully integrated digital access control platform that could streamline and improve interactions between tenants, the physical building, and ownership.

Metro Retail Stores Group, a leading operator of department stores and hypermarkets in the Visayas region, in the Philippines, was facing several challenges with its existing Oracle Retail Applications and EBS. The applications, which were deployed on cloud services such as Oracle Linux, IBM, and AWS cloud, lacked high availability, affecting the operational performance. The system also struggled to scale and handle traffic spikes and loads. The client needed to complete the migration before the expiration of on-premises licenses. The on-premises infrastructure lacked robust security, and the management of cost and resources was ineffective. Additionally, the client needed to upgrade the OS, database, and server versions along with the migration.

Our client, a South African company dealing with the settlement of various securities, had invested in an on-premises data lake as a single, reliable source for data-driven decision making. Despite significant investment, the client was unable to achieve the desired agility and scalability. The data lake’s infrastructure presented several challenges including inability to scale, high infrastructure and maintenance costs, and lack of cloud-based computing. Its monolithic architecture was unable to handle the client’s increasing data storage and analytics needs. The absence of cloud-based services resulted in underutilization of the data lake by business users. It was inaccessible by many, lacked real-time services, and was regarded as an unreliable source, leading to significant revenue leakages.