Democratizing Machine Learning for Big Series

Projektinformationen

DEMABIS

ID Finanzhilfevereinbarung: 889633

DOI

10.3030/889633

Projekt abgeschlossen

EK-Unterschriftsdatum 13 November 2019

Startdatum 1 Dezember 2019

Enddatum 29 Februar 2020

Finanziert unter

• INDUSTRIAL LEADERSHIP - Innovation In SMEs

Gesamtkosten

€ 71 429,00

EU-Beitrag

€ 50 000,00

Koordiniert durch

GRUMPY CAT SOFTWARE SL
Spain

Periodic Reporting for period 1 - DEMABIS (Democratizing Machine Learning for Big Series)

Berichtszeitraum: 2019-12-01 bis 2020-02-29

Zusammenfassung vom Kontext und den Gesamtzielen des Projekts

The major aim of the feasibility study is to assess the overall performance of Shapelets against other competing alternatives, strengthening the definition of our value proposition, while assessing the different market verticals and how to enter them. To have a successful market uptake and establish a leading position in time series analysis a rodmap for the next two years has been defined, and the acute need to perform different validations to become bankable identified.

Arbeit, die ab Beginn des Projekts bis zum Ende des durch den Bericht erfassten Berichtszeitraums geleistet wurde, und die wichtigsten bis dahin erzielten Ergebnisse

The Feasibility Study conducted ensured the technical, commercial and financial feasibility of the Shapelets suite. Shapelets has strengthened the definition of its value proposition, performed a benchmarking analysis against different market alternatives, analyzing the energy utilities market, and two specific segments of the industrial market to later aseess the financial needs to enter these markets, with a technology roadmap and staff growth strategy.

Fortschritte, die über den aktuellen Stand der Technik hinausgehen und voraussichtliche potenzielle Auswirkungen (einschließlich der bis dato erzielten sozioökonomischen Auswirkungen und weiter gefassten gesellschaftlichen Auswirkungen des Projekts)

Shapelets is the first platform tailored for time series analysis. It provides the latest time series algorithms orginated from academia as well as the tools Data Scientists and decision makers need to make the most of data series. It provides the most complete set of tools for time series analysis which will enable important energy and resources savings for its customers, reducing the environmental impact of two markets that have an important weight on global CO2 emissions.

Shapelets time series analysis.