Hitachi Lumada

Lumada is the commercial platform for Internet of Things (IoT). Represents the flexible, intellectual and arranged software platform with the transferable architecture providing a possibility of use of the platform on the customer's object in cloud and hybrid infrastructures and also support of implementation of the industrial solutions IoT both in reference network, and in its boundary segments. Lumada combines artificial intelligence, expanded means of analytics and a possibility of creation of "digital twins". It allows to optimize and simplify process of management of commercial and industrial resources. It, in turn, helps to increase efficiency of use of resources, to reduce payback periods at implementation of initiatives of IIoT and, as a result, to accelerate process of receiving useful information and notable commercial results for industrial enterprises and corporate customers.

Appointment

The stack of software tools is developed helping customers on the basis of all available data quickly to receive necessary analytics, forecasts and recommendations. The software product easily adapts to work in infrastructures of an average and large scale.

2020: Lumada Data Catalog

On March 31, 2020 it became known that the Hitachi Vantara company, affiliated enterprise Hitachi, Ltd., submitted the platform for data management of Lumada Data Catalog. It expands functionality of solutions of the company for implementation of methodology of DataOps. The solution provides to customers a possibility of standardization of the diverse data dispersed in a cloud, infrastructure of data, computers and devices on network edge. The technology of cataloguing of data Waterline provides to customers standard infrastructure of metadata for management of all available data. Applying DataOps to centralized sets of data, customers can quickly receive valuable analytics and perform innovations.

Operational, technical and normative aspects of the problems arising in connection with increase in amounts of data do directories of the modern organizations given by more and more important tool. Addition of a complex of the solutions Hitachi Vantara for DataOps with functionality of the Waterline Data systems – an important step thanks to which our customers will be able effectively to manage assets of data in any information environment – from border to the center of infrastructure and the multicloud systems, considers the technical area director of the digital solutions Hitachi Vantara Guido Schroeder

The founder and the technical director of Waterline Data Alex Gorelik who is the senior research associate of Hitachi Vantara now, considers that the Waterline technology will become fine addition to a complex of products, technologies and solutions of Lumada which provides competitive advantages to customers in any industry: from industrial production and power to transport and retail.

Our technology will help to accelerate implementation of intention of Hitachi Vantara to open possibilities of methodology of DataOps for creation of means of analytics, data management and ensuring operational flexibility, – he is sure.

Lumada Data Catalog supplements products of the Lumada Data Services complex and is effectively integrated with them, opening additional opportunities – detection of data, services of self-service for data. The directory of data provides necessary transparency and predictability thanks to a possibility of inventory and classification of assets of data. It allows to create a required layer of metadata for support of crucial information projects at all stages – from data preparation before integrated management and control of normative and legal compliance. The solution is designed so that it is capable to extend to the level of all enterprise, and uses high-scalable and high-performance components, such as Spark, Solr and own architecture on the basis of agents or architecture of Kubernetes based on containers. In combination with the automation opportunities provided in Lumada on a basis the politician, such approach will allow to use a wide number of digital solutions and will provide advantages in a set of the industries.

2019

Lumada Data Services, Data Lake и Edge Intelligence

The Hitachi Vantara company announced on October 17, 2019 expansion of a range of services and solutions based on the Lumada — Lumada Data Services, Lumada Data Lake and Lumada Edge Intelligence platform. The purpose of innovations — to help customers with all industries to overcome separation of data arrays and to stimulate innovations, using DataOps methodology. It is practice of shared control by data which allows the organizations to increase the efficiency and to implement innovations thanks to an opportunity to obtain all necessary data at the right time in the right place.

Offers of Lumada include:

Lumada Data Services (services of data Lumada) is a set of program services using which customers can manage harder and harder ecosystems data on intellectual information basis. Interaction with the checked technologies Hitachi for the organization object storages, data integration and analysts, the cornerstone of platforms Hitachi Content Platform (HCP), Pentaho and Lumada, allows customers to exercise with the minimum costs control all data sets in data processing center, in cloud and on border infrastructures. Instruments of automation on a basis the politician help to coordinate data streams and to meet normative legal requirements, requirements of economy of costs and business development.

The solution Lumada Data Services is capable to accelerate innovations, providing to customers an opportunity to coordinate acceptance, storage, studying, preparation and providing managed data on a basis the business politician for receiving analytics, management and economy of operating costs.

Access to services of data Lumada is provided via the general cloud console. Services interact with each other, using the general metadata, with assistance of intellectual coordinating and mechanisms of application the politician. The services of data can be deployed in a cloud, in DPC or on infrastructure border; they allow to create a flexible data matrix and provide data access in the self-service mode for implementation of methodology of enterprise-wide DataOps.

Lumada Data Lake (lake of data Lumada) represents the lake of data of the next generation with automatic optimization. Using artificial intelligence technologies (AI) of Lumada Data Lake selects optimal arrangement for data sets, constantly controls them, without allowing formation of "swamps" of data, and provides their permanent availability to the analysis.

Lumada Data Lake provides the available multicloud storage, powerful tools for transactions with data and simple management. Unlike lakes of data on the basis of one cloud expensive at scaling and the cloud systems creating a binding to one producer, Lumada Data Lake is the economic solution even when scaling to petabyte. It allows to receive the logical self-organizing lake of data covering infrastructure components from border to a cloud environment. The solution Lumada Data Lake created based on technologies of storage of object data and compatible to S3 service is available from analytics subsystems which can be located anywhere.

Lumada Edge Intelligence (means of Lumada for analytics on infrastructure border) is a complex of the software and the certified boundary equipment. With its help to the organization customer services with effect of presence, remote platforms and platforms without connection to network, branches of the organizations can manage data and analytics on network edge in such scenarios of use of digital technologies as the IoT systems, products with network capabilities.

Lumada Data Lake provides controlled, economic and automated management of data. It consists of a set of container program services using which the organizations can solve problems of data management from sensors, production assets and systems and their integration into the systems of business operations. The solution Lumada Edge Intelligence is certified for use with many types of the approved equipment of Hitachi and partners connected to production assets, the equipment and systems and provides implementation of methodology of DataOps and obtaining analytical data in real time on infrastructure border.

Lumada Manufacturing Insights

On September 17, 2019 the Hitachi Vantara company announced release of Lumada Manufacturing Insights. It is a solution package for industrial Internet of Things (IIoT) which help to optimize operation of the equipment and to improve production processes due to use of the artificial intelligence (AI), machine learning (ML) and methodology of DataOps.

In Hitachi Vantara noted that the solution package supports integration with existing applications and generates analytical data on the basis of which it is possible to take specific actions. At the same time the customer has no need to completely change the expensive equipment or already working applications. Lumada Manufacturing Insights supports different options of deployment: it is possible to use a solution package both in internal infrastructure, and in a cloud environment.

"Outdated infrastructure, separate software products slow down process of implementation of innovations and interfere with achievement of competitive advantages. Using Lumada Manufacturing Insights customers can lay the foundation for digital innovations which will allow to reduce equipment downtimes, to increase efficiency and to increase quality of the used systems and software solutions", 'Brad Surak, the director of products and the development strategy Hitachi Vantara noted'

According to the developer, thanks to analytical data processing about a condition of equipment, production processes and product quality Lumada Manufacturing Insights promotes business conversion, allowing:

• use possibilities of intellectual model of assessment of a maturity of production;
• integrate the separate data warehouses, uninvolved resources and data arriving from video cameras, laser locators (lidars) and other sensors;
• maintain correlations of type 4M (the machine, the person, material and methods) for implementation of the analysis in required scale;
• estimate overall effectiveness of the equipment (OEE) and develop recommendations about its improvement using artificial intelligence technologies and machine learning;
• estimate efficiency of planning and optimization regarding variation of workloads and production speed;
• monitor and adjust product quality due to use of the predictive and ordering analytics;
• increase the forecasting accuracy of demand and improve control of observance of production plans and achievement of required indicators.

"Hitachi Vantara offers individual approach for acceleration of process of digital conversion of business. Existence of the checked methodologies and tools with enhanced capabilities allows to adapt solutions for customers. Thanks to these solutions it is possible to increase performance, to reduce terms of an output of services/products to the market and, eventually, to achieve higher commercial results", 'Bobby Soni, the director of solutions and services of Hitachi Vantara noted'

Lumada Video Insights

On May 22, 2019 the Hitachi Vantara company provided Lumada Video Insights – a full range of intellectual and adaptable applications. Thanks to technologies of Internet of Things (IoT), video, the artificial intelligence (AI) the Lumada Video Insights complex allows to collect, to store, control and analyze video data.

According to the statement of the developer, Lumada Video Insights is an integral part of strategy of Hitachi Vantara in the field of DataOps (the methodology assuming joint work of development teams and the operation of IT systems, data preparation engineers and researchers of data) designed to define new approaches to data management during AI era.

Using Lumada Video Insights customers can collect and study data. On their basis it is possible to improve planning and to reveal the factors promoting increase in production efficiency and cost reduction claim in Hitachi Vantara.

Lumada Video Insights has the following features mentioned by the developer:

• Geospatial visualization and graphic data mapping of IoT and video.
• Transformation of new data with the help of means of video analytics into unique knowledge and also generation of notifications in real time at the expense of the analysis using AI.
• The solutions, steady against failures, providing the high processing speed and availability of large volumes of data.
• Intelligent boundary devices and platforms of video analytics which provide data collection and receiving analytics in any point.
• The deep intellectual analysis of public data from social networks and the deep Internet which provides awareness on references of a brand.
• Assistance to decision making on the basis of studying of data on security and functioning of systems and the service level of clients.

The Lumada Video Insights complex expands a portfolio of applications Lumada for analytical data processing which, in turn, is complemented with the Hitachi Vantara systems for data integration, coordinating, storage and data management.

"We constantly note the need for use of new data sources in combination with traditional that allows to receive valuable analytical results. Representing the Lumada Video Insights portfolio, we develop DataOps technologies and we expand interaction with the public and private organizations. We aim to transform approaches to use of analytics in the companies of retail, the state and transport companies for achievement more good results". Brad Surak, director of products and strategy of Hitachi Vantara

2018: Lumada Maintenance Insights

On September 27, 2018 Hitachi Vantara presented solutions of the Lumada Maintenance Insights series which should fill up a line of solutions of Lumada. These solutions for the Internet of prophetic (IoT) developed on the basis of the artificial intelligence (AI) use high-precision predictive and directive algorithms which help customers to reveal potential failures in the equipment and make necessary recommendations about repair and service, allowing to increase efficiency of operation and to avoid idle times. Such improvements, according to developers, will allow the companies to improve results of business due to the most complete use of potential of data irrespective of their location – whether it be a data processing center, a cloud or terminal units – and to take higher positions in the modern market which is actively using digital technologies and solutions in the field of analytics of data.

According to the developer, solutions of the Lumada Maintenance Insights series of Hitachi are suitable for the companies working in the field of transportations, industrial production, power and also operating the difficult equipment which unforeseen idle times can lead to considerable financial losses and serious consequences in terms of security. In solutions of the Lumada Maintenance Insights series integrated approach for support of employees of all levels participating in processes of repair and service – from technicians on repair and service managers to directors of productions and heads of the business directions is used.

According to the statement of the developer, solutions of the Lumada Maintenance Insights series help customers with the solution of the following most widespread problems:

• Equipment downtimes: unforeseen shutdowns which influence the key production indicators.
• Lack of a possibility of error correction from the first attempt: high costs for completion and production losses.
• Excess spare components in warehouses: not those components not in that place.
• Low level of satisfaction of customers: decrease in percent of prolongation of service contracts.

In solutions of the Lumada Maintenance Insights series models of machine learning which can be adapted for management of specific resources and embedding in specific production processes are used. Proposed solutions allow to define a condition of equipment on the basis of the analysis of earlier and continuous data about its repair. Then, on the basis of the analysis of data retrieveds, they develop the list of the recommended steps on service or repair of the equipment with indication of the time/sequence of their accomplishment. These solutions allow to prepare and monitor accomplishment of recommendations about repair, optimization of the diagram of procedures of service, delivery of spare components and efficiency of service, noted in Hitachi Vantara.

2017

Release of version 2.0

On September 19, 2017 Hitachi Ltd companies. and Hitachi Vantara was announced release of the first commercial Lumada platform for Internet of Things (IoT). Completely upgraded version of the Lumada v2.0 IoT-platform has simple, easily adaptable architecture which allows to develop the platform both on the customer's object, and in a cloud environment, supporting the systems of industrial Internet of Things (IIoT) and at the level of terminal units, and in a data processing center.

Changes of version 2.0

• The integrated means of expanded analytics of Lumada are complemented with functions artificial intelligence (AI).
  • Thanks to it customers receive the intellectual and flexible platform capable to accelerate increase in operational efficiency, economy of costs, increase in security and reliability of functioning of systems, optimization of use of resources, increase in control of performance and product qualities.

• Avatars (digital representations) of resources — approach of Hitachi to views generation, known as "digital twins" of objects are added.
  • Avatars of resources allow to gain the digital representation of terminal units and various metadata used for the purposes of analytics. Avatars serve kind of as digital intermediaries industrial and business resources, providing an opportunity to quickly take from data valuable knowledge concerning their operability and performance on the basis of constantly renewed indicators of sensors.

• Instruments of design for developers and architects of the systems of Internet of Things are implemented.
• The functions allowing to simplify creation and deployment of solutions for IIoT and to accelerate extraction of valuable analytical information are added.

Availability

As of September 19, 2017 the Lumada IoT-platform from Hitachi is available to acquisition and projects implementation within creation of solutions, joint with Hitachi. Some functions can be available in all markets not at once.

Functionality. Architecture

Functionality

For September, 2017 the Lumada platform includes:

• Functions of artificial intelligence, expanded analytics and avatars (digital representations) of devices — will help the companies to simplify development of own solutions for IoT and to accelerate program implementation of digital conversion.
• Complex functions of security and expanded support of loading of unstructured data.
• Functions of dynamic design and ability to manage resources.
• Instruments of design for developers and architects of the systems of Internet of Things.

Architecture

In general the architecture of the Lumada IoT-platform (version 2.0, September, 2017) includes five main levels creating the flexible, adaptable and arranged program basis:

• Lumada edge: Allows to accept easily, to transform and analyze the most various data arriving with any speed in directly at the level of terminal units.
• Lumada core: Provides creation of the register of devices, identification and access control and also simplifies creation of avatars of resources.
• Lumada analytics: Allows to combine data of the OT i IT systems and to reveal patterns using powerful tools of analytics, machine learning and artificial intelligence.
• Lumada studio: Contains the ready widgets allowing to simplify creating applications in the form of interactive panels; sends warnings and notifications or performs direct processing.
• Lumada foundry: Offers basic services for simplification of deployment on objects of customers and in a cloud environment and also provides functions of security, support and different microservices.

According to developers, such architecture allows to adapt quickly the solution to any existing business and to IT environments of customers, and, respectively, to receive return from technologies quicker.