Democratizing Machine Learning for Big Series

Informacje na temat projektu

DEMABIS

Identyfikator umowy o grant: 889633

DOI

10.3030/889633

Projekt został zamknięty

Data podpisania przez KE 13 Listopada 2019

Data rozpoczęcia 1 Grudnia 2019

Data zakończenia 29 Lutego 2020

Finansowanie w ramach

• INDUSTRIAL LEADERSHIP - Innovation In SMEs

Koszt całkowity

€ 71 429,00

Wkład UE

€ 50 000,00

Koordynowany przez

GRUMPY CAT SOFTWARE SL
Spain

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

Okres sprawozdawczy: 2019-12-01 do 2020-02-29

Podsumowanie kontekstu i ogólnych celów projektu

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.

Prace wykonane od początku projektu do końca okresu sprawozdawczego oraz najważniejsze dotychczasowe rezultaty

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.

Innowacyjność oraz oczekiwany potencjalny wpływ (w tym dotychczasowe znaczenie społeczno-gospodarcze i szersze implikacje społeczne projektu)

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.