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Hitachi, Ltd.
In recent years, the development of the Internet of Things (IoT) has led to a rapid increase in the amount of data generated by society and businesses, and this data is now a source of new business value. Hitachi is working on "digital innovation" with customers in a variety of business activities, using technologies such as data science, AI, and media processing to rapidly launch new businesses. In this way, we aim to promote social innovation businesses, enhance our customers' corporate value, and improve people's quality of life.
In research and development, we are working to become the global No. 1 in core technologies, and we are accelerating IT x OT x product solutions, with the aim of gdigital innovationh that creates new value. We are taking the lead in global companies and taking on the challenge of innovation that no one has achieved before.
We provide total support for our customers' data utilization by creating value from data and organizing and solving business issues in order to realize the next vision for society.
The work content is wide-ranging, from understanding customer issues, to solving management issues through data analysis and action creation using AI, etc., and feedback on analysis results, to developing services and software through data utilization.
This job involves consulting with customers and planning and developing solutions based on DX. We support the improvement and creation of corporate value as a DX partner that works with customers, making use of the strengths of the Hitachi Group, including GlobalLogic. We implement solutions to customer issues and drive Hitachi's Social Innovation Business.
We are conducting research and development that utilizes cutting-edge AI and data science technologies to solve social issues and innovate business. We are creating new digital solutions through the analysis of real-world data such as video, audio, and language, as well as the development of AI algorithms. We are also working on the creation of fundamental technologies, and we are leading the industry with our track record of achievements (*), including being selected for top conferences and winning top prizes in international competitions. Opportunities to work globally, including in the energy and railway sectors, are expanding.
We support our customers' digital transformation through research and development of data utilization and AI technology, and create solutions that make predictions, judgments, and optimizations. We contribute to social innovation through the co-evolution of AI and humans.
Machine learning, reinforcement learning, deep learning, mathematical optimization, modeling and simulators, human sensing, remote sensing, analytical knowledge databases, knowledge graphs, MLOps/LLMOps
Application examples: People flow and logistics optimization, anomaly and precursor detection, digital twins, machine learning integration and application to natural sciences, digital transformation, machine learning that utilizes domain knowledge, time series analysis, satellite image analysis, knowledge management
We are engaged in research and development of human augmentation using multi-modal AI technology with image analysis which is our core, XR/metaverse, and generative AI. We create and drive social innovation projects in business domains such as railways, manufacturing sites, public safety, and medical care, and contribute to the realization of a society where everyone can live safely, securely, and healthily and can demonstrate their abilities.
Computer vision, image recognition, behavior recognition, generative AI, multimodal AI, XR content generation, sensor signal processing, sensory augmentation, machine learning, knowledge processing
Application examples: AI Assistant, augmented metaverse, disaster situation awareness AI, medical image diagnosis AI, work training, on-site work support, video monitoring, biometric authentication, OT knowledge management
We are conducting research on artificial intelligence technologies that handle multimodal data such as text, speech, sound, charts, and time series signals, and we are also promoting the development of AI utilization systems that emphasize transparency and fairness, with the aim of applying them to the real world.
Generative AI (domain-specific LLM, LLM agent, multimodal (acoustic/graph/language/time series signals, etc.)), natural language processing (natural language inference, discourse structure analysis), speech recognition (acoustic/language model adaptation, end-to-end, diarization, speech enhancement/separation, speaker verification matching), acoustic recognition (abnormal sound detection, scene classification, caption generation), signal processing/signal restoration, state estimation/prediction, dialogue agents, reinforcement learning, risk inference, counterfactual reasoning, knowledge learning, explainable AI, trustworthy AI (diagnosis and improvement of explainability, transparency, fairness, robustness, etc.)
Application examples: front-office worker support, contact center support (chatbots, automated voice response), interview support, summarization systems, text information extraction, dialogue analysis, fault prediction diagnosis, data refinement, etc.
We are advancing research and development in areas such as data pipelines, knowledge databases, network distributed AI, edge cloud, OSS, Web3, and storage systems, with the aim of implementing digital services in the era of generative AI. We contribute to social innovation for people working in the fields of energy, railways, manufacturing, medical care, finance, and public services, supported by Hitachi, Ltd.
We are conducting research on creating gservicesh which combine products and systems by using AI, Web3, and IoT. We are contributing to accelerating DX and solving social issues such as improving productivity and achieving a decarbonized society.
Cloud native architecture, containers, blockchain/Web3, IoT platforms, data centers, generative AI development platforms, generative AI utilization services, low-code development, DevOps, AlOps, SRE (Site Reliability Engineering), OSS
Application examples: Distributed ID platform technology that supports Web3, energy management that utilizes distributed control of computing load between data centers, generative AI-based fault handling support assistant for IT system operation management, common platform that supports smart building IoT solutions, service mashup platform that enables rapid app development using low-code
We are developing technologies for extracting useful information from all kinds of data for the environment, society, and the economy, as well as technologies for managing and searching distributed data and automating data utilization. This will accelerate our customers' DX in a wide range of fields, including industry, cities, public services, and finance, and contribute to social innovation.
Data modeling, cyber-physical systems, common ground, metaverse, databases, data lakes, data fabrics, transaction management, metadata management (active metadata), data governance (data protection law compliance, data catalog), digital observatory
We are engaged in research and development that creates new value by gconnectingh the real world and digital space, distributed bases and systems, and knowledge and experience in the field according to requirements. To achieve this, we create new technologies such as AI technology, network and communication technology, and edge-cloud collaboration data processing technology, and contribute to social innovation that realizes operational transformation in various industries, including railways, energy, and manufacturing.
Distributed AI, embedded AI, business-specific AI, federated learning, CPS (cyber-physical systems), digital twins, 5G/6G, communication control, network integration, wireless system engineering, edge computing, distributed data processing, railway 5G applications, energy management, automated driving, factory IoT, etc.
We are researching and developing high-capacity, highly reliable data storage technologies that support digital transformation. We are pursuing computer architecture, data reduction using AI, cloud storage, and infrastructure for large-scale AI, and our products are being used by global companies.
The image on the right shows an example of a product that reflects our research results (Hitachi Storage VSP (Virtual Storage Platform), VSP on cloud).
Data infrastructure for large-scale AI (computing and storage), AI application technology (system operation management, image compression, etc.), public cloud application technology (cloud storage services, backup to the cloud, etc.), distributed storage, power-saving technology, hardware architecture (CPU, memory, network, GPU, FPGA, etc.), software algorithms (high-speed input/output processing, compression/de-duplication, data protection, etc.)
We are developing advanced systems that support societal infrastructure and industrial systems. We solve complex business issues and provide efficient and flexible system solutions through the construction of large-scale systems that utilize IoT and cloud technologies. We contribute to the development of a digital society by building highly reliable and secure system infrastructure, leveraging our extensive experience in a wide range of industries.
In societal infrastructure such as power and rail, there remains inefficient operation where AI and digital technology are not being used. By system modeling this operation and developing digital technology to solve problems, we contribute to the efficiency of society as a whole.
Electric power system modeling, green energy management, railway operation control system modeling, demand response transportation operations, mobility-energy cooperative operations, maintenance recommendations, control cloud platforms, mathematical optimization using AI
We are promoting research and development of digital service creation and digital service engineering technology for the financial and public sectors. We contribute to the realization of a sustainable society through research and development of technology to accelerate, improve efficiency, and increase reliability of service and system development that supports the creation of industry-type financial services and public services based on ESG and public-private partnership.
Sustainable finance, supply chain finance, public-private partnership services, blockchain, NFT, digital currency, digital ID management, service incubation process, DevSecOps, cloud shift for highly reliable systems, test automation generation/execution
This is research and development of software engineering to improve business value through DX, with a focus on the industry field. We analyze source code and various data, and use AI to improve the efficiency and quality of work in each process from development to operation and maintenance. (Examples of industry fields: manufacturing (FA, PA), automobiles, railways, medical equipment, water environment, elevator systems, storage systems)
AI-enabled plant automation, Over The Air technology, automated driving software, collaborative agile development methods, generative AI-enabled software development, embedded software implementation technology, DevOps, automated test generation/execution, model-based development, automated program correction, AI software testing and verification, embedded system performance verification, high-safety system development (safety risk analysis, functional safety), configuration management technology, development project risk detection
As it becomes increasingly important to be prepared for cyber attacks, we are developing security technologies that utilize AI and digital technology to enable rapid and accurate risk analysis and automatic response. These technologies will be applied to IT/OT systems and products such as automobiles and medical devices, with the aim of realizing a safe secure society.
PSIRT/CSIRT technology, Cyber Threat Intelligence, Security Automation, Vulnerability Management, Risk Analysis, Biometrics, AI Security, Confidential Information Processing
We are developing advanced systems that support societal infrastructure and industrial systems. We solve complex business issues and provide efficient and flexible system solutions through the construction of large-scale systems that utilize IoT and cloud technologies. We contribute to the development of a digital society by building highly reliable and secure system infrastructure, leveraging our extensive experience in a wide range of industries.
Aiming to extend people's healthy life expectancy and realize a sustainable healthcare system, we are contributing to digital transformation in the healthcare and life science fields by engaging in research and development to develop AI and data analytics technology for medical, bio, and health data, and to implement the developed technology in society.
Medical/health data processing and analysis technology using machine learning and statistical methods (including database technology and data management technology), bioinformatics
We are promoting environmental and energy innovation through digital technology with the aim of realizing a sustainable society. We research renewable energy, energy efficiency improvements, CO2 reduction technology, etc., and provide solutions that balance global environmental conservation and stable energy supply. We contribute to the development of society and industry through the development of next-generation energy systems that make full use of cutting-edge technology.
- Construction of a group of solutions that achieve carbon neutrality and the restoration of biodiversity alongside economic growth -
We are developing technologies to expand the use of renewable energy and promote CO2 absorption in order to solve environmental problems such as climate change and damage to ecosystems. We are contributing to the construction of a sustainable and safe social system by constructing a digital twin that can evaluate the economic and environmental impact of various technologies and measures, promoting the social implementation of solutions and making recommendations for institutional reform.
Designing scenarios and making recommendations for climate change and biodiversity recovery, simulation of power systems to achieve carbon neutrality in energy, proposing methods for efficient battery manufacturing, utilization, and resource recycling using AI and data analysis, simulation and AI-based water circulation and plant engineering
We are researching nuclear power generation systems from both OT and IT perspectives with the aim of achieving carbon neutrality. We are contributing to the construction of a sustainable social system by building nuclear power plants in a digital space that incorporates OT knowledge, and providing solutions that cover the entire plant lifecycle from design, construction, and operation to decommissioning.
Plant digital twin, plant condition monitoring, work management, configuration management, equipment reliability, generative AI, metaverse
We are working to innovate electric and electrification technologies with the aim of improving energy efficiency and realizing a sustainable society. Through the development of drive systems and energy management systems, we provide technologies that support next-generation mobility and industrial infrastructure, and by actively incorporating digital technologies, we will promote electrification and decarbonization of society by advancing research on solutions that achieve both effective use of electricity and reduction of environmental impact.
This is a research field that aims to optimize the operation of equipment and systems based on data obtained from infrastructure equipment, such as industrial systems, mobility, and home appliances. By combining AI technology with knowledge gained in the OT field, we contribute to the proposal of highly explainable solutions for energy conservation and reducing maintenance costs, such as digitizing the tacit knowledge of skilled workers.
Development technology:Advanced simulation combining electrification components, digitalization technology (1D-CAE/MBD, system simulation, thermal fluid analysis) to support industrial equipment development, and data analysis technology (AI, machine learning, mathematical optimization)
Related technologies:Edge computing, embedded AI, data modeling, model-based development, databases, machine learning, deep learning, statistical processing, time series signal processing, cyber-physical systems, factory IoT, metaverse
We combine advanced control technology, robotics, and digital AI to achieve automation and autonomy in manufacturing and distribution systems, transportation systems, plant systems, healthcare systems, and more. Through automation technology, we are building next-generation smart systems and contributing to the realization of a sustainable society.
We are developing system control technology to realize the autonomy of mobility such as railways and the automation of manufacturing and logistics. We provide safe and secure solutions through technologies such as autonomous control platforms that operate systems with high reliability, real-time control that optimally operates equipment, and environmental modeling that enables accurate decision-making, and contribute to the construction of sustainable social systems and the improvement of QoL.
Autonomous control platform (control cloud, AI control, security, safety, functional safety), real-time control (model predictive control, automatic driving system, air traffic control system, robot swarm control), environmental modeling (environmental sensing, self-positioning, satellite positioning, sensor fusion)
We are developing smart production systems for the manufacturing, logistics and supply chain fields. We analyze product data, manufacturing data, distribution and delivery data, etc. using AI, machine learning and mathematical optimization to develop systems that can autonomously achieve optimal operational operations.
Data analytics (AI, machine learning, mathematical optimization, cyber-physical systems, simulation) in the fields of manufacturing, logistics, and supply chain. Digitization of manufacturing sites (IoT, equipment sensing, manufacturing site monitoring)
We are developing robot cognitive functions and autonomous control technologies to promote cooperative work and mutual understanding between humans and robots. Based on Hitachi's extensive product and operational knowledge, we are also working on research into robot hardware and edge control, motion generation, intelligence, and CPS (Cyber Physical System) that connects these to IT systems. By implementing these in industrial and service fields, we aim to create a people-centered society that improves QoL.
Deep learning-based autonomous motion generation (deep prediction learning, imitation learning), learning-based recognition technology, multimodal AI, multi-agent simulation, digital twins, sim2real, and applied technologies for these
We are advancing the intelligence and automation of industry and mobility fields through control and recognition technologies that utilize AI. We are working to achieve technological innovation in areas such as image analysis for manufacturing inspections, environmental sensing for automated driving, automated maintenance of industrial equipment, and autonomous control of plants, and we are contributing to the realization of a safe and comfortable society.
Computer vision (multimodal sensing, image recognition and analysis, good product learning inspection, super-resolution), automation (automatic model generation, reinforcement learning), data analytics (predictive diagnosis, failure cause diagnosis, knowledge modeling, natural language processing)
We are committed to creating social innovation businesses in the growing fields of green and digital by combining cutting-edge AI and digital technologies with Hitachi's accumulated OT knowledge and design expertise.
*OT: Operational Technology
Solutions related to mobility, wellbeing, industry, and the environment/energy, as well as methods and technologies for creating businesse
Hitachi provides ICT solutions to a wide range of customers, including those in the financial (banking and insurance), public (government and local government), social infrastructure (electricity, transportation, and telecommunications), and industrial and distribution (retail and manufacturing) sectors. As data scientists, we are combining our knowledge of IT and OT to maximize the use of digital technology and develop social innovation projects from a perspective that is not available to our competitors around the world, with the aim of realizing a sustainable society.
We have conducted PoC and AI system implementation support using AI and data analytics technology with many customers. Data scientists with business skills, operational knowledge, and data science expertise support customers' DX. (In addition to experts in machine learning, mathematical optimization, etc., we are also looking for generative AI engineers.)
For customers aiming to expand their business or contribute to society, we delve into their management issues and propose hypotheses and plans that make use of digital technology. We utilize Hitachi's technology and solutions to see our proposals through to fruition, and promote social innovation that addresses issues facing society as a whole.
We work with our customers to create a vision for the future that will use digital technology to help them evolve, improve their business value, and contribute to society. We analyze our customers' issues, work with design thinkers to develop measures, and work with DX engineers to lead the way in realizing them, involving global stakeholders both inside and outside the company. We leverage Hitachi's strengths to connect digital technology to the market for innovation and contribute to the creation of growth businesses.
Hitachi is working to maximize the value it provides to customers and improve productivity through its Lumada business by safely and effectively utilizing rapidly growing generative AI technology both within and outside the company.
We are also actively utilizing generative AI in our research activities, and by combining it with various technical fields, we are working to improve research efficiency, create innovation, and advance technology.
