The ABC's of a data science process

The COVID-19 pandemic has negatively impacted the Spanish economy, especially SMEs with a lower degree of digitalization. The SME Digitalization Promotion Plan and European Union funds provide opportunities to accelerate digital transformation. Data science is key, using data to make dynamic decisions and gain insights. The data science process involves defining the problem, preparing and studying the data, creating and validating models, and visualizing the results. You need a skilled team and a systematic approach to make the most of data and make informed decisions.

Data drives the connected apparel revolution

The fashion of the future focuses on the functionality of smart clothing, which integrates electronic components and sensors into fabrics. These sensors capture data from the human body and are sent through apps on smartphones, providing information on sports and health metrics. Examples include yoga pants that improve posture, socks that improve walking and running technique, and smart socks that detect ulcers. The smart clothing market is projected to reach $5.3 billion by 2024 due to growing demand and technological advancements in data capture and monitoring.

Sensors and IOT connectivity hyper personalize the cosmetics industry

In the beauty industry, IoT devices are major drivers of change. They have the ability to capture hundreds of skin data and transform them into tailored responses and treatments in real time. Beyond simple active ingredients and product offerings to improve your appearance and feel better,… Continue reading Sensores y conectividad IOT hiper personalizan la industria cosmética

Artificial intelligence improves itself

We saw it dozens - or hundreds - of times in movies, novels and science fiction series: suddenly, artificial intelligence (AI) takes control and things go out of control for humans. With this background that is not at all reassuring, we are moving towards a world in which machines gain more and more abilities.

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