Allergan, a global pharmaceutical company, was facing challenges in managing its complex IT infrastructure. The company was struggling with the management of multiple applications and systems, which were not only costly but also inefficient. The lack of a unified platform was leading to operational inefficiencies and was hindering the company's ability to innovate and respond to market changes quickly. The company was also grappling with the challenge of modernizing its applications and transitioning to a cloud-based infrastructure. The transition was critical for Allergan to stay competitive in the rapidly evolving healthcare industry. However, the company lacked the necessary expertise and resources to manage the transition effectively.

DenizBank, a leading financial institution, was facing challenges in maintaining the customer experience and application performance as the bank expanded. The bank's customers demanded a fast, flawless, and customized experience, which required insightful data and scalable technology platforms. With the volume of customer data growing constantly, the bank needed a storage solution that was reliable, high-performing, and easy to manage. Additionally, DenizBank wanted to simplify their backup process. The bank was using over 1200 tapes per year for data retention, which was not only costly but also complex and time-consuming when it came to restoring data.

The company’s polymer mixing process was producing output of inconsistent quality, with yields sometimes dipping as low as 50% or 60%. The scrapping of poor batches created huge costs and was crippling production capacity. The root cause was traced to ever-changing product specifications, in addition to variations in a range of production parameters. Production engineers were unable to stabilize the process using traditional approaches as mixing polymer was stubbornly unstable and each new product formulation only exacerbated the problem. To solve this issue, this global manufacturer needed a solution that provided the following capabilities: • Ingest and integrate Internet of Things (IoT) data from machinery, sensors, the environment and other sources • Discover the critical factors and optimal process parameters through correlation, visual analysis, and optimization algorithms • Provide deep process insight, enabling daily decision support and continuous improvement • Dynamically and continuously optimize the process through machine learning

Hitachi is a highly diversified company that operates eleven business segments: Information & Telecommunication Systems, Social Infrastructure, High Functional Materials & Components, Financial Services, Power Systems, Electronic Systems & Equipment, Automotive Systems, Railway & Urban Systems, Digital Media & Consumer Products, Construction Machinery and Other Components & Systems.Year founded: 1910Revenue: $94.0 billion (2014)TYO: 6501

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