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Dial-A-Doctor, an after-hours medical service provider, was facing significant challenges with their existing PTSN fixed-line call centre. As they transitioned into the digital age, they switched to a VoIP system, hoping it would provide a more reliable and efficient service. However, the VoIP system proved to be inadequate, leading to poor call quality, instances where callers couldn't hear the agent, and calls dropping out in the middle of conversations. The most concerning issue was an instance where a second caller dropped into a private conversation between an agent and a patient. Dial-A-Doctor needed a flexible, reliable, and intuitive technology solution that could handle not only calls but also other forms of customer contact like SMS, WhatsApp, Facebook Messenger, and WebChat.

VRL Logistics Ltd, the largest logistics and transportation company in India, was facing a significant challenge in reconciling bank statements with automatic toll charges incurred by their vast fleet of vehicles. The company's finance department had to manually cross-check bank statements against toll charges to ensure that they were not being overcharged. This process was not only labor-intensive but also prone to errors. The lack of an automatic reconciliation system between the bank's records and the toll charges was a major hurdle in the company's operations, affecting efficiency and accuracy.

Lufthansa Systems, a leading full-service IT provider for the airline and aviation sector, faced the challenge of providing a robust and stable database platform to support its own planning and routing software. This software is not only used by Lufthansa but is also licensed to hundreds of airlines globally. The database platform needed to be reliable, capable of real-time data availability, and cost-effective. The challenge was to ensure high levels of uptime and stability, crucial for the smooth operation of thousands of flights and the satisfaction of millions of passengers worldwide.

AgroStar, an ecommerce platform selling farm supplies, was facing challenges in expanding its services to small farmers in India. The company aimed to provide a full-service platform that combines agronomy, data science, machine learning, and analytics to boost crop yields and improve income for these farmers. However, the lack of access to new, higher yield seeds and improved soil analyses for small farmers, who had to rely on traditional methods, was a significant hurdle. Additionally, the dissemination of innovative information from universities to small, grassroots farmers was slow and inefficient. The company also faced the challenge of providing timely advice in five languages on various aspects of farming, including seed optimization, crop rotation, soil nutrition, and pest control.

Suez, a leading French multinational corporation with operations primarily in water, electricity, natural gas supply, and waste management, faced a significant challenge in consolidating data from its various global entities. The company's highly decentralized structure made it difficult to create a global data analytics system, which was crucial for its operations. The inability to integrate customer data from its global business entities and homogenize this data using a unified semantic layer was a major obstacle. The company needed a data integration platform that could overcome the expensive and complex process of physically moving data across varying regulatory boundaries to a central data warehouse.

Structurely, a conversational AI platform that streamlines lead qualification for sales and marketing teams, was facing a significant challenge as it sought to shift its focus from small to medium-sized businesses towards more enterprise customers and partnerships. A key part of Structurely’s product and roadmap was CRM integrations, which allowed customers to seamlessly pass leads and qualification data between their CRM and Structurely’s AI platform. However, they discovered that enterprise companies were not using the real-estate specific CRMs that they had traditionally offered. Instead, these companies were using more well-known and generalized CRM platforms, particularly Salesforce and HubSpot. This posed a clear barrier to success in their shift towards targeting enterprise customers. Additionally, their existing integration strategy, which involved manually developing server-to-server integrations or using Zapier to ship one-off integrations, was fraught with challenges around authentication, feature limitations, customer experience, and operational costs.

The meat and livestock industry in Australia, which is integral to the lives of many and covers a vast schema of enterprises along the value-chain, was facing a significant challenge. The industry was becoming increasingly fragmented, with leaders often withholding information about their operations, leading to a lack of transparency and potentially ill-informed decisions. The rigidity of the industry meant that such decisions could have irreversible consequences. The industry was also facing competition from chicken and pork, which were outpacing beef in consumer consumption. Additionally, there were ongoing challenges related to on and off farm productivity performance and the decreasing price of livestock per head. The industry was also grappling with the need to promote and adopt animal welfare practices across all value chain silos. Given the global nature of the industry, the non-profit business needed a partner with a deep understanding of international market interaction and the ability to navigate across different silos within the meat and livestock industry. They also required guidance and assistance on developing a new Internet of things (IoT) digital strategy for making decisions across the value-chain.

Ramanujan College, a constituent college of the University of Delhi, has a computer science department that collaborates with the Indian government, industry stakeholders, and other universities to conduct research and development (R&D) projects. A significant focus area is the development of sovereign cloud platforms that can compete with today's hyperscalers while ensuring data security within India's borders. Previously, most of the R&D work was hosted in the public cloud. However, running performance-intensive applications for 5G communications, blockchain, and a learning management system for over 150,000 participants led to escalating costs.

The company, a global chain of shopping malls, was committed to delivering a superior in-person shopping experience. This included services like Wi-Fi on arrival, valet parking, personal shopping, and access to an exclusive lounge. To ensure a flawless experience, the company needed its IT systems to be extremely reliable as even a few minutes of downtime could impact sales and customer loyalty. Furthermore, to ensure that its malls always offered the right brands and products in the most appropriate formats, it was critical to track and analyze data on guests’ behavior as they moved through the mall and made their purchases in real-time.

Türk Telekom, a leading telecommunications provider in Turkey, was faced with the challenge of modernizing its infrastructure to facilitate the delivery of agile cloud services for both internal and external customers. The company's goals were centered on digital transformation to enable the provision of agile cloud services. Getting the infrastructure right was key for business-critical systems that sit at the center of Türk Telekom’s digital architecture—including its core billing and charging applications and databases, its SAP applications, and its virtualization and cloud service platforms. The company's storage infrastructure included hardware from a variety of vendors, but when it decided to replace its legacy billing system with a more demanding new application, it was time to modernize the storage layer too.

Enzen, a global knowledge enterprise specializing in the energy and water industries, faced several challenges in its mission to make energy and water more affordable, accessible, and sustainable. The company needed to centralize its data and knowledge repository, design and share global best practices with customers, enhance the value of its existing intellectual property, optimize the speed and quality of solutions delivered to clients, and expand its global advisory business. Enzen's clients, who operate in highly regulated sectors, face strict compliance and risk standards, yet they are also expected to deliver more services for lower costs, with greater efficiency. Enzen’s advisory services help companies meet these demands by improving their business model across six dimensions: Process, Data, Digital, Operations, KPIs, and Capability.

The Electric Racing Academy (ERA), the world's first all-electric junior racing series, was founded with the aim of offering better inclusivity, sustainability, and digitalization than established combustion race series. The founders, Dieter Vanswijgenhoven and Beth Georgiou, were driven by the need to address climate change and make racing accessible to as many people as possible. However, they faced the challenge of creating a digital experience away from the racetrack, which would require a cutting-edge IoT solution for connectivity with the race cars. Additionally, they needed to ensure that the races, which would last 20 minutes before the battery needs to be charged, would be engaging and exciting for both the drivers and the fans.

Alexion Pharmaceuticals, a biopharmaceutical company, was facing several challenges in its downstream process development operations. The company was struggling with data silos as instrument vendors did not integrate with one another, leading to manual data movement. The proprietary data formats of vendors required their specific tools, which hampered third-party data standardization. Additionally, informatics leads had to manually move, update, and curate files from multiple locations. Scientists were also required to enter peak information into analytical software themselves. Furthermore, existing dashboarding tools had steep learning curves and could not manage metadata. Scientists were constantly needing to test their hypotheses and derive useful insights from heterogeneous data sources.

CGI, a global business and technology consulting company, faced a significant challenge in simplifying data migration when onboarding clients to their proprietary wealth management platform, Wealth360. The platform was designed to automate and simplify portfolio management, fund accounting, and fund allocation. However, the Data Migration and Conversion team had to develop new code for every data source, which could include up to 200-plus data files in various formats. This made the process time-consuming and complex. The team envisioned creating an automated ETL (extract, transform, load) data migration process that was based on a single, flexible, and reusable script.

CPFL, a major power distributor in Brazil, is responsible for supplying electricity to 9.1 million consumers across 12 of the 27 Federation Units and four of the five regions of Brazil. The company's operations are not limited to preventing or repairing household outages but also extend to supporting industries, local businesses, and vital societal subdivisions such as education, transportation, and health. To manage this vast network, CPFL relies on a system that manages the map of its complete power grid. This system is regularly updated and maintained through a process known as a compression routine, which organizes and compresses the database to optimize space for data storage. However, CPFL faced a challenge as the compression routine was taking days, or sometimes weeks, to complete. This delay affected new installations, customer service, and the efficiency and safety of company electricians who relied on information from the System Operation Center while working in the field. The slow process compromised overall sustainability, development, and growth potential, leading CPFL to seek a third-party vendor with experience in the energy sector.

Garanti BBVA, Turkey’s second-largest private bank, operates in a highly regulated market where service reliability and availability are paramount. The bank has a three-data-center storage strategy to ensure resilience against disasters and continuous uptime. However, managing this architecture was complex and time-consuming. Storage administrators had to maintain and execute intricate scripts for routine tasks like provisioning new storage volumes and updating replication configurations. This process diverted the storage team's attention from more strategic projects. The challenge was to reduce these complex, time-consuming storage management tasks to allow Garanti’s IT team to focus on more strategic work.

JBS S.A., a Brazilian multinational and one of the world’s largest food companies, was facing a significant challenge in managing its growing data requirements. The company, which has a diversified product portfolio and is present in 15 countries with over 250,000 employees, refreshes its technology every five years. In 2020, the need for more data storage was felt across all business departments, including administration, sales, and marketing. The company was in need of a high-performance solution that would fit its budget and reduce its data center footprint while meeting its growing data requirements. Additionally, the solution needed to be compatible with Cisco, a key requirement for the company.

ABN AMRO, the third-largest bank in the Netherlands, was facing challenges with its on-premises servers. The bank, which processes a diverse and complex range of data daily, needed a more efficient and reliable way for its teams to access and contribute data. The bank's existing system, while secure and capable of handling millions of transactions daily, was not providing the speed and reliability required for efficient data access. The bank's data types ranged from business process management, HR systems, financial systems, customer systems, marketing systems, and commercial systems, to recorded conversations and correspondence with clients. The challenge was to find a solution that could handle this high variety of read patterns, duplicate data, and maintain control.

The Advisory, Conciliation and Arbitration Service (ACAS), an independent public body funded by the UK government, works with millions of employers and employees every year to improve workplace relationships. The organization's mission is to enhance organizations and working life in the UK through the promotion and facilitation of strong industrial relations practice. However, to effectively deliver its services, ACAS needed a resilient technology platform. Without such a platform, the organization would be unable to contact its customers and provide the services they desperately need. In 2018, ACAS decided to adopt a 'cloud-first' approach following a digital strategy review. The challenge was to find a cloud solution that would not only align with their digital strategy but also ensure paramount security.

AccuWeather, a leading global provider of weather forecasts, was faced with the challenge of providing custom weather-impact predictions for business customers. Businesses wanted more than just weather data; they wanted predictions of how the weather would affect their operations. Initially, AccuWeather provided this service on an ad hoc consultative basis, which was labor-intensive. Customers would share their sales history data, and AccuWeather would have a data scientist clean the data and create a custom model. However, this process was not scalable. AccuWeather wanted to automate this service, allowing customers to upload their data online and generate an automated prediction. However, they were concerned that the analytical tools they had at the time wouldn’t allow them to provide high-quality predictions.

Achmea, a leading insurer based in the Netherlands, was on a mission to become an all-digital insurance provider. However, several of its business-critical workloads, including its data warehouse and fraud management applications, were hosted on an aging SAP HANA appliance on external on-premises infrastructure. This infrastructure was reaching its end-of-service date, and to continue operating on-premises, Achmea would have had to make a significant capital expenditure to replace the hardware. Additionally, to stay up-to-date, the company would have needed to refresh the entire platform and infrastructure every four years. The company's aim to become the digital insurer for the Netherlands by 2025 meant that continuing with physical hardware did not align with the company's overall strategy. Achmea's on-premises systems were running on SUSE Linux Enterprise Server for SAP Applications, a successful operating system deployment that the team wanted to continue to use. Therefore, they needed a cloud solution and a provider that would work effectively with its existing infrastructure.

Worms Safety, a leading global alliance of specialists in safety and quality management, was facing a significant challenge in consolidating financial data from its 30 group companies. The company had recently introduced a new Xero financial management system and was seeking a solution to automate the consolidation process. The goal was to improve management reporting with interactive dashboard capabilities, which would enable the company to better meet compliance goals, exploit business potential, and develop a competitive advantage. The existing process was labor-intensive, requiring 10 days of manual spreadsheet maintenance each month, and lacked the depth of analysis and reporting options the company needed.

Adaptive Biotechnologies, a commercial-stage biotechnology company, has been working on harnessing the biology of the adaptive immune system to transform disease diagnosis and treatment. The company has built a proprietary immune medicine platform that decodes the genetic language of the adaptive immune system. However, the challenge was to synthesize this vast system of biology and tap into the full value of the massive clinical immunomics database generated. The company needed high-scale compute resources and machine learning capabilities to unlock the full potential of the research data. The immune system's complexity and the sheer volume of data generated by Adaptive’s dynamic clinical immunomics database, which includes more than 47 billion immune receptors, posed significant challenges.

Additiv, a leading catalyst for change in the financial services industry, was faced with the challenge of upholding the highest standards of security and compliance while operating within a highly regulated industry. The company decided to move its infrastructure to Azure, but this transition needed to strictly adhere to compliance regulations across multiple locations. The challenge was not only to ensure a seamless transition but also to leverage the benefits of digitalization to offer its clients innovative, flexible solutions that can easily scale and adapt to their specific needs, no matter where they’re located.

Adobe, a leading software company, recognized the need to transition from simply creating beautiful content to understanding how people engage with that content. This understanding would allow businesses to refine their interactions with prospects and customers. To achieve this, Adobe introduced Adobe Experience Cloud in March 2017, a set of tools that complements Adobe Creative Cloud. However, as Adobe migrated more products to a SaaS model, it faced the challenge of finding a reliable and secure cloud platform to host its growing portfolio of cloud offerings. Adobe also needed to ensure that its open-source software-based products would be fully supported on the chosen cloud platform. Furthermore, Adobe had to address customer concerns about running their mission-critical applications, which include petabytes of confidential customer and sales data, in the cloud.

The Rural Investments Financing Agency (AFIR), a Romanian government agency, is responsible for supporting farmers and companies to access grants and an average of 2 billion euros yearly of European Union (EU) funding for rural development projects. However, a vital internal forecasting task to manage these grant projects required a lot of manual intervention by AFIR’s employees. This process was not only slow but also prone to inaccuracies. The organization was keen on increasing the accuracy of spending and financing forecasts, as this would not only help its users but also boost its own operational efficiency. The process was paper-heavy and complex, and according to Daniel Ifrim, IT Director at AFIR, it was 'far from optimized'. The team needed a solution that would transform this process into a fully paperless and online system, and reduce the time taken to produce a report with spending and financing forecasts.

AGC Group, a global glass manufacturer, was seeking to transition from on-premises hardware to a cloud-based infrastructure on Microsoft Azure. The company aimed to improve cost efficiency and gain scalability benefits. Given AGC's presence in Europe and Japan, the migration to the cloud needed to be handled meticulously. The company was looking for a partner that could help with an on-time, on-budget infrastructure build. AGC also wanted to move away from managing its hardware on-premises and migrate to a scalable platform on Microsoft Azure. The company was seeking a partner who specialized in customized services to assist in hosting AGC’s landscape on Azure, which would allow AGC to accelerate business growth in North America.

AIA Singapore, a subsidiary of AIA Group Limited, is a leader in life insurance and financial services. The company has been serving generations of Singaporeans since 1931. AIA Singapore had moved many of its vital Java-based workloads to Azure, including an interactive point of sale (iPoS) system. However, the company faced challenges with unpredictable spikes in traffic and underutilized on-premises servers. The company wanted to improve the scalability of the system and attract Singapore’s top technical talent. AIA Singapore also wanted to create more robust web experiences and more innovative digital tools to provide customers with the best service experiences. The company's legacy Sybase database could no longer support the new kinds of big data business intelligence. Scaling up capacity in AIA Singapore’s existing on-premises environment was costly and left a lot of underutilized server capacity.

Air Astana, the flag carrier of Kazakhstan, was facing significant challenges with its financial reporting process. The company, which operates both domestic and international services across 64 routes in Eurasia, was struggling with a time-consuming and resource-intensive month-end closing process. Generating account cards and trial balances took from 40 minutes to more than one hour per report. At the end of the month, the finance department often had hundreds of reports in the queue. The company's Enterprise Resource Planning (ERP) system was only capable of processing ten reports at a time, creating a bottleneck and slowing down the entire process. The company needed a solution that could generate reports in less than a minute to boost productivity and efficiency.