The mission of the Data Cycle Hub is to be a reference one-stop shop DIH in the Valencia region to foster data driven and artificial intelligence based innovation. The objective is to bridge the gap between research and industry, specifically SMEs, providing innovative solutions and services that require advanced data analytics, automatic learning and artificial intelligence.
The Data Cycle Hub has a non-for-profit aim and is coordinated and led by ITI, also a non-for-profit Research Centre and a reference on Big Data and Artificial Intelligence in the Valencia region, with connection to all relevant stakeholders: industry, regional agencies, accelerators, Chamber of Commerce, education, providing a rich ecosystem of technological companies working on these fields.
All the technologies covered by this DIH are around the DATA, from Data Gathering to Data visualization. In this sense, the DIH addresses Primarily Big Data and Artificial Intelligence, but also other key digital enabling technologies like Cyber Physical Systems, IoT, Cloud and High PerformanceComputing Platforms or statistics optimization.
ITI is Founding member of Big Data Value Association (BDVA) and has been labelled by BDVA as iSpace the last 2 years. ITI is working hard in establishing the baseline for a network of Big Data and Artificial Intelligence DIHs.
ITI has two main Data Hubs. One is focused on ITI own experiments with data and AI and the other is oriented to provide services to external experiments coming from more than 50 competence centres in the region and also from companies. The network of competence centres that ITI is leading, groups more than 20.000 SMEs that are potential users of the Data Cycle Hub Services.
Link to national or regional initiatives for digitising industry
Data Cycle Hub originated in ITI Technology Centre. ITI is closely linked to IVACE (Valencian Institute for Business Competitiveness), and has been working with It in the RIS3CV strategy since the beginning, carrying the ICT secretariat out and working with all the ICT ecosystem. ITI developed the Industry 4.0 Agenda in the Valencia Region.
Activities of the Data Cycle Hub are aligned with almost all ther RIS3CV areas, including Industry (working directly with the Industry 4.0 Lab with IVACE), Health, Tourism, Agrifood, Habitat and Cities, Transport, Energy (also working in Smart Grid Lab with IVACE), all them included in the RIS3CV priorities.
ITI is also working with the Valencian Agency for Innovation, creating a big alliance of Competence Centres in Enabling Technologies (TECH4CV) where the Data Cycle Hub is a key element to coordinate all of them.
At national level, ITI is member of Planetic and is working on Spanish Big Data Initiative promoted by Ministry of Economy.
ITI is also linked to the Industria Conectada 4.0 programme from the same Ministry in Spain, and has become a key player in the Activa Industria activity within this programme since 2017, leading the UNITI4.0 group that has been homologated as an assesment and roadmap provider for Industry 4.0
In addition to Planetic, ITI is member of different Spanish technology platforms focused on Digitising Industry like Manuket or Logistop (Board member)
At European level, ITI is Founding member of BDVA and is a labelled iSpace (silver level). ITI is co-leading the iSpace subgroup in BDVA, working for creating a network of iSpaces/DIH in Big Data in Europe.
ITI is also member of AIOTI, ECSEL or Networld 2020
Predictive maintenance (Technology)
Many different problems arise during the daily operation of a plant, but in most cases they can be solved within the safe interval granted by the use of intermediate stock, they only require spare parts that are commonly available, and do not require specific skills from the maintenance staff. However, there are a number of critical components and operations that, in case of failure, have devastating consequences in the production line, directly increasing the unscheduled downtime, and producing side effects in the resource and production planning. These are the failures we are focusing on.
Critical equipment failure can obstruct the operation during 2 or 3 shifts or even more, in case the required staff is not available or spare parts are not in stock. It obviously blocks the whole production for hours, causing high economic losses and affecting the OEE metrics of the whole plant. In these particular cases, the cost savings of a sound predictive maintenance solution is worth the cost of condition monitoring equipment.
The adoption of predictive maintenance techniques will dramatically improve the efficiency of the plant, minimizing (i) the time the equipment is under maintenance and (ii) the average time elapsed between breakdowns of a system; while maximizing the percentage of the total number of maintenance hours spent on planned maintenance activities in a given time period. The expected impact can exceed 1 million euros a year, thanks to the extension of the lifetime of components and the prevision of availability of stock and maintenance staff for each reparation.
Development of predictive models based on Machine learning and multi variant analysis to anticipate the failure of a critical machine in a process.
Data is gathered by specific and standard sensors in the plant and is left in a data lake. Some data curarion techniques are needed to improve the quality of that historical data. AI techniques are applied to the data to create working models. Real time data are processed using the models and an estimation of the failure is given.
Prognostic Maintenance techniques applied to critical components will categorize the predictions into 3 time intervals: time to breakdown <1 month; < 2 months; >2 months. The availability to know the breakdown probability, along with a level of confidence for the prediction, will allow the customer to schedule the appropriate resources inside the planned maintenance window. This will reduce significantly the cost of the maintenance intervention by considering only maintenance personnel and spare parts, removing cost of lost working hours.
Relation with Digitalization
This service covers all the digitalization cycle, from the data collection to data visualization. It give a platform to improve the quality of processes and products by means of digital technologies.
Name of the customers
NOATUM Container Terminal (working in Transforming Transport (H2020) project)
Ford Spain (Working in CARES (CDTI) and ZDMP (H2020) Projects)
Data & Technology watch (Business development)
In a fast changing world, access to innovative, cutting-edge market information and trends is key to improve business success. Companies need to be aware of emerging needs, market trends and competition early movements. To this end, market foresight and prospective instruments are needed. However, these instruments are not generally affordable by SMEs. Being aware of this barrier, the DIH provides competitive intelligence services supporting SMEs strategic decision-making
The DIH provides market intelligence services to its associated companies (+220 SMEs from the Valencian region) to show present and future market trends related to the ICT domain. Two services are provided. One is the ICT Observatory (https://observatorio.iti.upv.es), which provides SMEs with key information to identify technological and market trends. This service is being delivered since 2008, comprising until now more than 38167 entries (1874 in 2016), covering patents, strategic agendas, reports, news items and papers from specialized sources, tenders, and public calls; all from the ICT domain. On the other hand, the DIH also produces technological and market trends analysis reports related to the ICT domain, either by-request or proactively to the associated SME community. Examples of these reports (in Spanish) are: “ICT for the Future Industry. Trends report” (2014); “ICT trends at international level: Factories of the Future” (2015, IGAPE); “Big Data: The value of the data. Current status and trends as a new asset for the European economy” (2015); “From IoT to Cyber-Physical Systems. Trends report” (2016); “Market analysis of advanced data analysis services in the Valencian industrial sector” (2016, by-request, private). Some of these reports have been publicly delivered, to facilitate SMEs better decision making and the definition of strategic actions to improve their competitiveness.
Relation with Digitalization
All the market intelligence services provided are related to the ICT domain (and several of them covering the application to the Manufacturing sector), and are contributing to increase the digitization degree of the businesses of the Valencian Community region.
Name of costumers
Among others: Big Data Value Association (BDVA), IVACE (Valencia regional government), IGAPE (Galicia regional government), COIICV (association of Valencian ICT professionals), Valencian ICT SMEs
TECH4CV (Ecosystem & Business Development)
The expectations generated by the new knowledge-based economy model, very much aligned with the concept of ""4.0"", are very high, as it is becoming commonly heard of Artificial Intelligence, Robotics, Big Data, Cybersecurity, ... The pace of change of Enabling Technologies is so high and there are so many different technologies available that companies do not know which is the best option for investments. It is not usual to have demonstration centers where companies can observe the technologies in operation and evaluate their impact, or centers in which to experiment with the technologies before deciding to make a real implantation in the company.
Therefore, single access points are needed through which companies can access neutral information on any technology or enablers and personalized advice, whatever their size and sector is, to make the best decisions regarding technological investments to be made or business models to be defined in the knowledge-based economy. Similarly, these single access points must be prepared and coordinated so that companies can develop pilot projects and tests of technologies in laboratory environments prior to the purchase or launch of a technological product to the market.
Coordinate a point of reference for access to the scientific-technical capabilities in Enabling Technologies that allows to provide or create solutions to the present and future problems of any company in the Valencian Community based on the combination of knowledge and results of the different centers of competencies, facilitating the path to a productive model based on Innovation, Technology and Knowledge.
The points addressed by the service are:
- Coordinate the set of actors with technologies, products, services and infrastructures related to the enabling technologies for the creation of solutions to the current and future problems
- Define the technological challenges facing the CV and a roadmap of coordinated projects to be addressed
- Promote the development of new high-impact enabling technologies for the CV
- Analyze the sectors and their transformation potential through the implantation of enabling technologies
- Across the technologies and their impact to the companies through realistic and advanced demonstrators
- Contribute to the definition of the bases of calls for support to companies and other agents for their competitive improvement
- Monitor the actions developed and measure the impact achieved
Relation to Digitalization
Enabling Technologies provide the basis to promote innovation in various sectors. The mastery of these technologies is considered crucial to guarantee the competitiveness of the industry in the knowledge economy. Enabling Technologies allow the development of new goods and services and the restructuring of the industrial processes necessary to modernize the industry and favor the transition to a knowledge-based, efficient and environmentally sustainable economy. They are knowledge-intensive technologies identified as candidates to cause disruptions in the economy and society over the next 10-15 years, according to different international technological prospection studies.
Digital Tecnologies, including Artificial Intelligence, Computing, Cyberconnectivity and cybersecurity represent an importat group of enabling technologies.
Name of the Customer
This is a service for the Valencian economy as a whole.
Chronic disease prediction (Technology)
Chronic Diseases and Conditions (CDCs) are the major cost of morbidity and mortality and lead to 86 % of all deaths. CDCs account for more than 75 % of the healthcare burden in Europe, with a cost for the economy of €700 billion per year. Moreover, the number of CDCs that occur simultaneously in individual patients increase with aging. This is a serious problem if we take into account the rapidly growing aging population.
Predictive models to characterise the disease trajectories and care pathways of a large patient population over an extended period of time.
Relation with Digitalization
Predictive models in health require the analysis of big amounts of data coming from different sources (heterogeneous). Digital data is needed to be able to produce those models
Name of Customer
INCLIVA (working in BigMedilytics (H2020) and regional projects among others)
Design and prototyping of Big Data Analytics elastic services (BDAaaS) in the cloud based on the ECloud platform - Platform as a Service (PaaS) - that allow users of companies, especially SMEs, to absorb the complexity of Big Data infrastructure management and focus on the data analysis itself at a reasonable cost. In short, this is an experimentation Big Data Analytics service in the cloud for processing of batch data and also data acquired in Streaming.
Elastic infrastructure that allows the democratization of Big Data Analytics solutions among the Valencian SME making transparent for the user (data scientist) the instantiation process and removing the intrinsic difficulties of massive data processing in streaming.
Relation with Digitalization
Digital transformation is already a reality and the adaptation of companies to this new paradigm requires the intensive use of technologies that allow the exploitation of the data they generate as a competitive advantage. Companies are aware of this need, as reflected in the results from reports such as those published by OBS which indicate that 65% of companies know they are at risk of becoming irrelevant or non-competitive if they do not adopt Big Data technologies .
However, the adoption of Big Data Analytics technologies is not within the reach of any organization, as it requires a complex infrastructure and trained personnel that only large companies have. According to the latest data published by the Ministry of Economy, Industry and Competitiveness, in the Community of Valencia, 99.91% of companies are SMEs, which explains the potential impact of RADIATUS for the ICT sector itself (as a technology offerer) and for the rest of the Valencian sectors (as a technology seeker). This service aims to, on one hand, facilitate to the ICT companies the configuration and automatic deployment of Big Data Analytics services in SaaS (BDAaaS) mode for the purpose of reducing complexity and instantiation times and, on the other hand, so that the rest of the Valencian sector industries can benefit from the advantages of exploratory data analysis without incurring in high cost investments. In short, to improve the offer and positioning of the ICT sector to respond to the growing demand for services of Big Data Analytics (BDAaaS) in the region, which allow democratization of the use of this type of technology, favoring the development of innovative services and the generation of quality employment.
Name of customer
Different customers from retail, transport and industry sectors