Democratizing Machine Learning for Big Series

Información del proyecto

DEMABIS

Identificador del acuerdo de subvención: 889633

DOI

10.3030/889633

Proyecto cerrado

Fecha de la firma de la CE 13 Noviembre 2019

Fecha de inicio 1 Diciembre 2019

Fecha de finalización 29 Febrero 2020

Financiado con arreglo a

• INDUSTRIAL LEADERSHIP - Innovation In SMEs

Coste total

€ 71 429,00

Aportación de la UE

€ 50 000,00

Coordinado por

GRUMPY CAT SOFTWARE SL
Spain

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

Período documentado: 2019-12-01 hasta 2020-02-29

Resumen del contexto y de los objetivos generales del proyecto

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.

Trabajo realizado desde el comienzo del proyecto hasta el final del período abarcado por el informe y los principales resultados hasta la fecha

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.

Avances que van más allá del estado de la técnica e impacto potencial esperado (incluida la repercusión socioeconómica y las implicaciones sociales más amplias del proyecto hasta la fecha)

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.