Project description DEENESFRITPL A new machine learning platform for data management The process manufacturing industry relies increasingly on automated data exchange operations. However, managing the massive amounts of data produced in large-scale real-time operations represents a significant challenge. Therefore, the industry has two main options: implementing large-scale analytics systems or turning to machine learning (ML) technologies. The EU-funded AIASGA project proposes the first-of-its-kind platform that integrates a high-performance computing hardware-based scale-up graph analytics architecture with the most advanced ML technology. The platform allows automated real-time operations, optimises production and uses anomaly detection to prevent accidents. Show the project objective Hide the project objective Objective The 4th industrial revolution is ongoing. The manufacturing and process industry have started transitioning into automated and data exchange operations. Still, the challenge for these players is to handle the massive amounts of data that is produced in large-scale real-time operations –and quite often– needs to be managed under time-pressure. As of now, the process industry has to choose between implementing large-scale analytics systems (using a scale-out or scale-up architecture) to control real-time operations and find metrics for predictions or alternatively, rely on machine learning (ML) technologies to discover meaning in data sets. At AIA Science –a spin-off from Numascale, world leader in high-computing performance or HPC– we have created AIA SGA, the first platform that integrates in a single solution a scale-up graph analytics architecture (based on HPC hardware) and the most advanced ML technology, allowing to automate real-time operations, whilst optimizing production and using anomaly detection to prevent accidents (e.g. the Deepwater Horizon oil spill disaster). Our current prototype (TRL6), combines three main components: The AIA Analytics engine; the AIA ML Suite and Neo4j Graph database software. Our priority market will be the European oil/gas and aluminium industries, having already a solid network of partners within our home market (e.g. Statoil, Aker BP or Norsk Hydro), where most European oil rigs and aluminium plants are concentrated. The market of ML-based large-scale analytics is gaining traction, being expected to be worth €1.1 billion by 2021 with an staggering CAGR of 29.5% (2016-2021) , translating into an appealing business opportunity for first movers (like AIA Science). With our AIA SGA project, we will increase our revenue to €9.75 million and to create 20 new direct specialized jobs only 3 years after starting commercial activities. Fields of science natural scienceschemical sciencesinorganic chemistrypost-transition metalsnatural sciencescomputer and information sciencesdata sciencedata exchangenatural sciencescomputer and information sciencesdatabasesnon-relational databasesnatural sciencescomputer and information sciencesartificial intelligencemachine learningnatural sciencescomputer and information sciencessoftwaresoftware applications Programme(s) H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs Main Programme H2020-EU.3. - PRIORITY 'Societal challenges H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies Topic(s) EIC-SMEInst-2018-2020 - SME instrument Call for proposal H2020-EIC-SMEInst-2018-2020 See other projects for this call Sub call H2020-SMEInst-2018-2020-1 Funding Scheme SME-1 - SME instrument phase 1 Coordinator AIA SCIENCE AS Net EU contribution € 50 000,00 Address HOGSETGRENDA 40 7026 Trondheim Norway See on map SME The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed. Yes Region Norge Trøndelag Trøndelag Activity type Private for-profit entities (excluding Higher or Secondary Education Establishments) Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 71 429,00