Hitachi America R&D is engaged in research activities that leverage big data analytics, internet of things, artificial intelligence (AI), machine learning and other technologies. These activities are designed to provide the foundation for new solutions that help organizations optimize operations, improve productivity and efficiency and solve unique challenges. Our research is focused on four key areas: asset lifecycle management, optimized manufacturing, predictive maintenance and finance.
At Hitachi America, our R&D team is expanding the boundaries of operational excellence through new technologies and solutions that drive new levels of operational efficiency and environmental sustainability.
We are developing an integrated asset lifecycle management solution that can reduce non-productive time, improve process and asset utilization, and enable innovation-led growth opportunities.
Focused on shop floor optimization, our manufacturing research activities include operations-related research such as analyzing yield, downtime and traceability as well as factory health monitoring and reliability analysis of factory assets.
A well-managed fleet responds quickly to any demand. But as fleets grow and demands become more complex, fleets are under increasing pressure to perform faster and better, with less.
Trust is based on integrity – especially in financial operations. And blockchain technology is one of the best solutions ever invented for data integrity. Organizations worldwide rely on it to ensure the secure and compliant management of their business processes and data.
When industries transform, opportunities emerge. That’s certainly true in the energy industry, where rapid digitalization, the shift to renewable energy and the rise of self-generating communities are disrupting the grid, rapidly reshaping the industry — and creating opportunities for innovation.
In the automotive sector, we are working with Hitachi partners and leading manufacturers worldwide to develop innovative solutions, including sensor fusion and vehicle control algorithms, advanced electronic control unit (ECU), occupant monitoring systems, and more.
In healthcare, a decision can be a matter of life or death. Any technology that enables faster, more accurate decision-making is invaluable – and today’s data analytics does just that. With fast access to the right data, analytics can turn this data into actionable insights that drive better healthcare decisions.
Change is coming to industrial operations, but current transformation approaches often lack a technology backbone that systematically addresses value chain requirements. To be successful, an organization’s transformation must eliminate silos and disconnects in IT and operational technology (OT) systems, which leave them without a single source of truth. In addition to eliminating silos, organizations must also find a way to address manual processes and workflows, a lack of access to external demand and supply signals, and susceptibility to market and technology disruptions.
Avoid unexpected equipment downtime and the related costs. Companies across industries are using artificial intelligence (AI), machine learning and analytics to predict equipment failures before they happen, so they can take preventive action. Companies that make use of predictive maintenance can avoid unexpected failures, decrease maintenance costs and increase equipment availability to achieve operational excellence.
From concept to production, your design is foundational to success. Businesses must be creative if they want to succeed and grow. Hitachi’s human-centric design approach is an effective way for organizations to tap into this creativity across industries. Companies can improve their ability to identify opportunities, define and scope objectives, innovate new solutions and validate their values while addressing a broad range of business challenges.
At Hitachi America Research and Development Division (R&D), we recognize that the Internet of Things (IoT) edge is critical to every industrial IoT solution. That’s why we are developing innovative IoT edge, core analytics and platform solutions.
Industrial AI is the application of Artificial Intelligence and Machine Learning (AI & ML) to address the opportunities and challenges presented in Industry 4.0. This is an important area of research that is gaining prominence due to the ever-increasing number of connected equipment and corporations trying to utilize the latest technologies to enhance their industrial operations.
A thorough understanding of the manufacturing process is key to keeping production quality up and costs down. That’s why today’s manufacturers are turning to end-to-end value chain solutions to improve and modernize product design, prototyping, manufacturing, and maintenance, repair and update (MRU) capabilities.
Distributed ledger technologies (DLTs) are emerging as the leading solution for securing and certifying business data. DLTs, also referred to as blockchain systems, are based on Hyperledger and similar platforms and are generally regarded as immutable. But their data can be manipulated if someone can access all of the system’s nodes, or servers.
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