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.

Whether protecting a VIP, evacuating a hot zone, or dealing with highly sensitive data or physical assets, a global intelligence and threat management firm TAM-C Solutions applies a strategic, data-driven approach that produces results, no matter how difficult the circumstances, identifying threats to client personnel, operations, assets, and the client’s brand.  For instance, at the height of the COVID-19 breakout, TAM-C was responsible for managing the logistics for the high-profile evacuation of a group of students stranded in Lima, Peru. The private agency simultaneously coordinated flights out of the country and travel from remote regions to the U.S. Embassy without incident.  Battle-Tested, Client-Focused“TAM-C’s analysts work in extremely close proximity to our clients, which include Fortune 100 companies, academic institutions, non-governmental organizations, and humanitarian agencies all over the world,” says Richman. “It’s not uncommon to have 50 or more staff working at a client’s facility off-site, supporting them on a 24x7 basis. It’s part of our relationship with them, a partnership we forge with each client.” TAM-C’s specialized services rely on its proprietary Fusion system, a patented artificial intelligence platform that perpetually collects and collates data from a wide range of sources. These include publicly available information via social media and the dark web, data on groups and persons of interest, and threats from extremist factions. Fusion automatically analyzes and ranks all collected data by relevance. The findings are assessed by highly skilled security analysts, who then coordinate with teams assigned to client organizations.  

To have the most robust, secure, and effective IT architecture possible.To achieve the highly available IT infrastructure that Stevanato required, a rigorous networking architecture was combined with an equally strict server architecture in two connected data centers between Padua and Bologna. 

The Fortune 200 IT Services Company, a global organization with 130,000 employees across 80 countries, was seeking new ways to differentiate its services in a crowded market. The company had an extensive back catalog of digital transformation projects, but had limited visibility of what they had delivered before. They wanted to exploit these projects more readily to win business. The challenge was to map and match their capabilities to what they were hearing from the client, and what the clients were saying in their strategy papers and company reports. They aimed to present the ideal recommendation and create the most effective transformation roadmap in real time, during client meetings.

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.

Conserv and TEKTELIC Collaborate to Provide Indoor Monitoring Solutions to Protect and Maintain Valuable Artifacts and Collections Around the Globe.

Buildings, like living organisms, consist of multiple systems that need to function seamlessly round the clock. However, maintaining aging equipment and facilities, dealing with utility issues, and controlling costs are ongoing concerns in the buildings industry. These challenges often undermine the well-being of the end-users, leading to dissatisfaction and lower performance. The various components of buildings usually have a long lifespan, and their management involves high risks and unexpected pitfalls. This situation leaves organizations struggling to focus on their core business while delivering a high-quality experience for end-users.

Ubisoft, a leading producer, publisher, and distributor of interactive entertainment products worldwide, faced a significant challenge in managing its game development process. The company operates with each game development run as a separate entity, with teams ranging from 15 to over 150 developers. Each team is responsible for its tools and engine and has its own Helix Core server. The company's aim was to share tools and game engines across a range of game platforms, minimizing platform-specific changes needed in the final versions of production data. However, one of the main challenges was improving the sharing of tools between the development teams and enhancing productivity with new tools and processes.

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.

Marcus Technologies, a leader in the advanced protein trading and logistics space, was facing a significant challenge in managing the transportation of protein, a highly perishable commodity. The company was relying on a manual process to book their customer’s freight, which was not only time-consuming but also inefficient. The challenge was to find a reliable logistics partner that could help them drive efficiencies and scale their operations while reducing food waste. The need for a more streamlined, automated process was evident as the company sought to push the boundaries in a traditionally slow-paced industry and create efficiencies to help reduce food waste and spoilage.

OptConnect, a provider of managed end-to-end wireless solutions for devices such as ATMs, retail kiosks, and digital signage, identified an opportunity to expand its market by developing an affordable, easy-to-install cellular end device. The company envisioned Neo, a small, plug-and-play device that customers could use to quickly link their systems to the OptConnect service. The challenge was to create a small, sturdy, reliable device that could integrate OptConnect's sophisticated management software, thereby enabling the company to reach the largest possible market. The device needed to leverage modern, high-speed 4G LTE cellular data connectivity, while being simple and highly reliable.

Cloud4com, a leading provider of IT infrastructure and data center services, recognized the challenges and costs companies face when upgrading their on-premises infrastructure to meet the demands of SAP HANA in-memory technology. With the introduction of SAP HANA and SAP's decision to end support for all other databases from 2025, Cloud4com saw an opportunity to expand its services to a larger customer base. However, SAP HANA is a resource-intensive technology that requires companies to deploy powerful and costly hardware platforms. Businesses often overspecify the hardware, resulting in underutilization within the software's lifecycle. To capitalize on the opportunity presented by SAP HANA, Cloud4com aimed to create a cost-effective cloud platform for HANA and began working on obtaining the SAP Tailored Datacenter Integration (TDI) certification. A critical element was selecting the right operating system that would meet SAP’s standards and maximize the availability and performance of their customers’ SAP landscapes.

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.

The customer, a US-based industry leader in lighting technology, had developed a proprietary wireless mesh networking protocol for their IoT-led outdoor lighting systems. These systems were used in various settings such as parking garages, airports, restaurants, and roadways. However, the functional testing of each wireless network for these diverse IoT devices became complex and adversely impacted the customer’s scalability and cost-effectiveness. The challenge was to build a test strategy that automated testing of their wireless outdoor lighting product line while sustaining the quality of their high-performance solutions.

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.

A global agribusiness and food manufacturer, producing over 80 million pounds of food products per year across eight production lines, faced significant challenges in demand forecasting and production scheduling. The company's only customer, a global retailer, exhibited highly variable demand, leading to discrepancies with the manufacturer's weekly demand forecast. Traditional demand forecasting solutions, based on statistical algorithms, were unable to cope with the short lead times and daily sales orders due to the short shelf life of food products. This resulted in unfulfilled customer orders. Additional rule-based solutions procured to improve production scheduling also failed to optimize schedules and significantly improve manufacturing operations.

Mercedes-Benz Research & Development India (MBRDI) was seeking an automation solution for their newly inaugurated state-of-the-art facility in Bangalore, dedicated to Learning & Development. The facility, named 'Gurukul', includes training rooms, meeting rooms, quiet areas, and in-house banquet halls, all designed with a focus on occupant needs and experience. MBRDI wanted a system that would enhance the occupant's experience by improving thermal (temperature and air quality) and visual (lighting) comfort, providing tailored occupant experiences, and empowering the facilities team with visibility into their energy consumption and HVAC & Lighting systems. The system also needed to have remote management capabilities and contribute to energy savings and carbon footprint reduction.

Assurance IQ, a direct-to-consumer platform offering personalized health and financial wellness solutions, faced a significant challenge in its early days. The company's data team was small and struggled with a scattered internal view of the business due to disconnected reports in siloed tools. They were using Excel, SQL, and other in-house tools, but lacked a true business intelligence (BI) platform. This resulted in inefficient use of time and a lack of a complete real-time view of the business for decision-making. Leadership lacked critical insight, and there were constant challenges around trust and consistency of the data. The data team wanted to ensure that each team member was looking at the same clean, accurate data and wanted to empower employees to explore the data on their own. However, the visualization tool they were using lacked version control and standardization.

The client wanted to reduce downtime and production losses by effectively prioritizing maintenance activities and proactively replacing components before failure.

From the sorting and analysis of past cases of digital construction in the energy field, four problems are often encountered in the process of digital upgrading of the energy industry, including the difficulty of using data in the early stage of construction, the diverse and volatile needs in the middle stage of construction, and the later stage of construction., the lack of continuous operation capability and the mismatch of safety requirements, etc.Data is difficult to use: while the amount of data is exploding, the data chimney still exists. According to the statistical analysis of relevant institutions, about 80% of the data has not been effectively used due to data silos and lack of analysis capabilities.Diverse and volatile demands: supply and demand sides, production links, and business departments have different demands for data usage. Business scenarios are complex and have low fault tolerance, making it difficult to get through the CPS (information physical system).Lack of continuous operation capability: business applications and data construction are separated, and data services cannot cope with rapid changes in business, resulting in a lack of depth and breadth of operational services and a significant drop in customer satisfaction.Mismatched security performance: comprehensive energy services require extensive access to customer data, and it is difficult to avoid data interaction security issues between internal and external networks.

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.

Comcast Business, a division of Comcast, was looking for ways to modernize the Enterprise Resource Planning (ERP) system of one of their enterprise customers, a local building supply company. The customer was seeking a new IT solution to upgrade their ERP system. Keeping all functions on-premises would require a complete rebuild of their existing data center, leading to a significant capital cost burden and ongoing expenses to scale over time. This option was not ideal, so alternatives were explored. Public cloud solutions available through AWS were the best fit, but accessing these services via their existing public internet was slow and did not meet the network latency thresholds needed for their new desired architecture. Ongoing operating costs were also a concern, so a scalable, cost-effective solution was needed.

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.

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.

Kamco Industries, a subsidiary of Kumi Kasei, is a full-service provider of product design and manufacturer of injection, sheet molded, and Formed Fiber Felt products. The company faced several challenges in its operations. Firstly, its spreadsheet-based business processes were not meeting the requirements of major clients such as American Honda. Analyzing performance involved stacks of paperwork, which was time-consuming and inefficient. The IT department was spending too much time supporting business processes rather than providing a strong technology foundation. The year-end closing process required countless hours of overtime and took weeks to complete. Kamco's goal was to respond as quickly as possible to customer needs and tailor its business processes to the expectations of its largest clients. However, the company's existing systems and processes were not up to the task.

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.

Extra loop of manual double-checks is needed in automotive quality inspections.

In the assembly workshop of an automobile OEM, the last process of automobile production still needs to rely on a lot of manpower to assemble the body. For the scene of lamp inspection, due to the mixed production inspection, the inspectors completely rely on experience to inspect the model. In addition, due to the serious light interference on the assembly line, the inspectors also need to avoid the interference of external light sources on the detection of vehicle lights, and the detection cycle is short, which also has high requirements on the inspection speed of the inspectors.At present, traditional manual quality inspection faces the problems of quality, special scene response and information integration:1 Quality: In manual quality inspection, experienced quality inspectors are required to know exactly which parts are equipped with which models based on 20+ types of vehicles. The requirements for human experience are high, and new employees are unfamiliar with models. There will be problems with missed inspections.2 In the case of a strong light source for a long time, it is necessary to take relevant human protection to prevent the eyes from being exposed to the light source for a long time.3 Information integration: at present, it is impossible to match the material of the model and the lamp, and the material deviation cannot be traced.

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.

Wavenet Technology, a digital marketing company, assists global brands in optimizing their online marketing campaigns using artificial intelligence and big data analytics. Customers access a web dashboard to monitor their campaigns’ performance in real time. However, as the number of simultaneous dashboard queries exceeded one million, the time to extract, transform, and load (ETL) data for the reports became increasingly lengthy. The processing exceeded the capacity of Wavenet Technology’s systems, which were running on AWS Redshift, causing customers to wait several minutes for the systems to respond. This situation began to hinder Wavenet Technology’s business development plans, prompting the company to seek a high-performance, secure, and affordable database that could support its growth targets.