We create value with data
MLOps from a bird's-eye view: how to start
The rise of MLOps and their widespread adoption worldwide requires a systematic and efficient approach toward building robust ML systems, which results in an increased need for ML Engineers.
Securitas improves sales force planning with an intelligent rule system
Securitas Direct, one of the best-known security companies, opted to apply this type of rule system to enable scheduling the visits of their sales representatives according to key business indicators. The aim is none other than optimizing their representatives’ travel routes when visiting real or potential customers.
Neural networks and edge computing for automatic license plate detection
License plate recognition is not new, but we created a new way to carry it out. Now, data processing is done on the device itself, which enables us to use a simpler infrastructure and improve privacy. This is what we call edge computing.
Sngular + Eticas: A new alliance for responsible AI solutions
We are joining forces with Eticas and applying a new work methodology, turning us into the first provider of ethical and trustworthy Artificial Intelligence solutions.
Female talent in STEM careers
Cristina Márquez, senior data scientist in Sngular’s Data & Artificial Intelligence team, shares her thoughts on why female talent hardly accesses STEM careers and gives some insight on how to change this reality.
Alfred: your next coworker will be virtual
The chatbot that helps your employees with their administrative procedures, resolves queries and promotes your company culture.
Morph: a system for real-time data processing
Morph is a product, a reusable infrastructure to create pipelines for real-time data processing easily and cost-effectively, which enables us to create various systems to tackle problems related to event detection and aggregated data analysis.
Evolution of women's participation at the Olympic Games
Women’s increasing participation throughout the history of the Olympic Games, their impact in more and more sports disciplines, and their prominence in the medal tables of all countries can only be explained through data. After working with different datasets, we have created a dashboard that depicts this evolution.
Simanfor: Artificial intelligence meets nature
SNGULAR participated in an integral update of the Simanfor platform, which runs pioneering forest simulation models. This is a project of the University of Valladolid.
Creating an app to enhance public transport… during a pandemic
At the beginning of 2020, Barcelona’s metropolitan transport company TMB saw that their user-facing app was great when everything was running smoothly. But, it had no way of sharing alternative routes when events like traffic jams, construction or protests disrupted public transportation routes in the dynamic city.
At the same time, they wanted to learn how to use the Google Cloud Platform.
That’s when SNGULAR came in. Our Data & Artificial Intelligence Team came up with several ideas and solutions to solve their problem using data gathering, processing, storage and visualization technologies.
The creation of Naturgy's chatbot
The virtual assistant team had the opportunity to work with Naturgy's innovation area to create its chatbot, called Pepe. This assistant helps customers learn more about the company's energy plans, promotions and actions, answering more than 500 questions in a practical and swift way. In its first 15 months, Pepe handled more than 90,000 user queries, resolving 92.5% of sessions on its own.
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