The smart data is in the core of our expertise evolution. The exponential growth of data and the multiplicity of available information sources require the use of artificial intelligence technologies to sort the massive amount of unstructured data, to reveal and create only useful information.
The challenge is to :
These technologies allow the end user to have simple tools. In this way, he can increase his efficiency in its daily work, analyze a situation or enlarge its fieldof view: interactive exploration of data, search of relevant information, automatic alerts, synthetic analyzes and visualizations, real time indicators, predictions.
At OctopusMind, this analysis is used to detect business opportunities and to explore the business environment with J360. It can also be at the service of communities and citizens, with CityZenMap. The augmented analytics is based on Machine Learning technologies and natural language processing. Its main advantage is to allow data analysts to save a lot of time and efficiency. (see the summary of the Gartner report « Augmented Analytics Is the Future of Data and Analytics » , published on July 27, 2017
Analyzes, which usually consume a lot of time and resources, can be greatly simplified and accelerated with this technology.
Let’s go for a quick review of the technologies of our "black box" :
Our raw material is the data. It will be extracted by robots. (web scraping), downloaded from open data sources, queried from the semantic web or langage corpora, or obtained by crowdsourcing.
We use ElasticSearch to search and analyse our data. We have developed our own Machine Learning and natural language processing (NLP) tools. For specialists, here are some of our secrets :
A very complete toolbox in constant evolution that opens multiple possibilities on a dataset, structured or not :
All these tools, combined with the computing power of today's servers and our expertise, allow us to offer a service that increases the competitiveness of our users.
Discover some of the possibilities offered by Elasticsearch from the developer's point of view.Forthcoming
Presentation of the Jupyter notebook and its successor JupyterLab, new features and some use cases.Forthcoming