Democratizing Machine Learning for Big Series

Project Information

DEMABIS

Grant agreement ID: 889633

DOI

10.3030/889633

Project closed

EC signature date 13 November 2019

Start date 1 December 2019

End date 29 February 2020

Funded under

• INDUSTRIAL LEADERSHIP - Innovation In SMEs

Total cost

€ 71 429,00

EU contribution

€ 50 000,00

Coordinated by

GRUMPY CAT SOFTWARE SL
Spain

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

Reporting period: 2019-12-01 to 2020-02-29

Summary of the context and overall objectives of the project

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.

Work performed from the beginning of the project to the end of the period covered by the report and main results achieved so far

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.

Progress beyond the state of the art and expected potential impact (including the socio-economic impact and the wider societal implications of the project so far)

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.