Data science for business intelligence and finance

finance

Today, we share with you five reasons why data science can be a valuable asset for your finance department. As you know, we in Shapelets love to find new innovative solutions to help businesses achieve success. Let’s bring some context first.

Principal Machine Learning Scientist at Zeitworks

Interview

Today, we are very happy to be joined by Matthew Kirk, Principal Machine Learning Scientist at Zeitworks. He has an extensive professional experience in delivering value-added AI/ML solutions.

In this interview, we discuss the main challenges data scientists face when providing solutions and insights to third parties. We also highlight that including the community in our data science efforts is essential, and also the importance of their contributions. Don’t miss it and have a look at the video below!

Use case

The sensitization of mechanical and industrial proceses is gradually increasing. This is mainly due to the availability and cost reduction of sensors, and widespread use of networks.

This provides plant managers with more frequent and more detailed information about the current state of the equipment and the process itself. Hence, it allows a greater degree of control over the quality of an industrial process, its resulting products as well as the health of the machine used.

Global Led Data Scientist at Vodafone Business

Interview

Today, we are very happy to be joined by Nacho Rodríguez Solís, Global Lead Data Scientist at Vodafone Business. Nacho is also a professor at IE school of science and technology and ESIC business & marketing school.

During this interview, we discuss the key skills and challenges data scientists face in their daily work, and much more! Don't miss it!

Use case

The accurate forecasting of energy prices is crucial for the orientation of the energy market and can guide policymakers and market participants, such as businesses and individuals.

In this use case, we will explore how Shapelets accelerated platform can be used to improve price prediction. We will use historical energy price data together with energy generation data to find out how energy consumption and production are related.

WEBINAR

Your data deserves the best, and the Shapelets platform provides a complete solution for ultra-fast data ingestion and visualization. Moreover, it is an enterprise-grade solution that can be used by any company that needs to process big data.

Interview

Today, we are pleased to introduce you to Adrián Carrio, our Lead Data Scientist at Shapelets. Adrián has also co-founded ThermoHuman and Dronomy, and he is the author of more than 30 scientific publications and one patent.

Visualization

Data Visualization is a common graphical representation process used to map out information. Visualizing data is a helpful way to make it accessible and understandable to everyone. This is done by using visual tools including charts, graphs and maps.

Today, we are surrounded by huge data from all the aspects of life, be it social, technical, personal or medical. So, to deal with it data scientists take various steps to transform that data into a usable form so that it can be used by everyone. Data visualization is one of the ways this is done. After all, “A picture is worth a thousand words”, the same goes with data.

Interview

or this first interview, we are joined by Matías Ávila, who is a Data Scientist at IKEA and a Machine Learning Lecturer at the University of Navarra Big Data Science Master Degree.

Today, we will discuss the different backgrounds of data professionals, the challenges they face, and the skills they use on a daily basis.

Smart service

The explosion in data growth has sparked a new industrial revolution, with companies taking the information and using it to build smarter services that help us understand and navigate the world around us.

Energy & Utilities

Data science is an area of constant change. In the field of artificial intelligence, deep learning models have recently become very popular for their accuracy.

Use case

With this use case, we present a toy example of the construction of a simple data analysis solution aimed towards behaviour analysis using Shapelets. In particular, we are interested in the factors that influence the decision of churning in bank customers.

Big Data: the key to retaining talent in companies and improving productivity. 6 uses for HR departments to get the most out of data analysis.

It is no longer news that Big Data has managed to demonstrate its effectiveness and usefulness in all industries and sectors, reaching areas as diverse as the economy, the environment or health.

Spain exceeds the European Union average in the application of Artificial Intelligence in business.

A percentage that, although it may seem small, we in Shapelets value as it shows how companies have been able to recognize the potential of this technology in a short time and reflects the enormous growth margin that Artificial Intelligence has in Spain.

Companies collect a great volume of information that increases day by day. In fact, it is estimated that the volume of data generated worldwide will exceed 180 zetabytes in 2025 and, according to Seagate, that same year 75% of the world’s population will have an interaction that will generate data every 18 seconds, so the volume of information will force businesses to increase their speed of data ingestion and analysis.

We are delighted to share that Repsol is joining forces with Shapelets. This collaboration agreement will allow us to accelerate our growth at a national and international level.

Christmas campaign

Ecommerce companies are using AI and data science to boost their sales campaigns.
Artificial Intelligence is getting accepted among society and applied daily in the business field. In fact, eCommerce companies are using AI to boost their sales campaigns. A good example of this application is the last Christmas campaign.

The 2022

World is changing rapidly. Some trends are predictable because they’re based on fundamental economic, political, social and technological changes that have been going on for a long time. Other trends are unpredictable. In either case, if you want your business to be successful in 2022, you need to look ahead and make some informed guesses about what the world will be like then.

What is the difference between all the data professionals?

World is changing rapidly. Some trends are predictable because they're based on fundamental economic, political, social and technological changes that have been going on for a long time

The day of a Data Scientist on a Start-up

Today, we see what a data scietists does in a day at a a start-up. And who is better to tell us than our in-house data scientists Adrián Carrio?

Shapelets is building in public

Shapelets is a relatively young company with big ambitions. We want to be the software of reference for data environments, taking the whole process from the data scientist to the business person. However, Rome was not built in a day.

5 must-have features of a data analytics platform

Shapelets, a platform specialising in Data Science, lists the features that an analytics platform must have so that data scientists can take their work to the next level

Can upcoming geological events be?

Shapelets, a platform specialising in Data Science, lists the features that an analytics platform must have so that data scientists can take their work to the next level

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An approximation

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Webinar: Shapelets Platform

Data science has exploded in recent years. It’s become a fundamental part of every major company and every hobby. Join us as we explore the possibilities of creating data-driven apps. Data is often a more powerful tool than programming, and Shapelets …

Business Environmentt

In the last few years, data has become one of the most important things a company can have. So much so, that according to a study of Cap Gemini, 83% of the businesses that have data are able to monetize it…