Intelligent visitor routes mobile app
Smart Destination offers an amazing visitor experience. Using IOT, It gathers data from city sensors and provides incredible insights such as Smart City Routes.
It allows a boost in economic development enhances the citizens’ quality of life. The main sources of information are the following:
The solution collects, analyzes and manages the huge volume of data generated around the cities during a big event, making this data useful in order to adapt the different public services offered to the citizen and, this way, to offer the citizen the best service. The project is co-financed by the Ministry of Industry, Energy and Tourism. National plan of Scientific Research, Development and Technological Innovation 2013-2016. Ref.: TSI-100105-2014-193
Scorecard for internal use by municipal officials for driving a more efficient government
It is our core solution, and we have different analytical modules to monitor and analyze the performance from different government agencies and departments: Case Management, Population, Economy & Finances, Customer service, Human Resources, Safety, Mobility and other else.
What if all the data that is in municipalities is turned into economic development?
bigov OpenData offers new business opportunities for companies in the city, making available open public data kept by public authorities and authorities. Open Data portal transforms certain information, previously only accessible at a corporative level, into open data information. This means it is open to the public and can be turned it into an asset for new business creation and promotion
bivov helps governments fight corruption by increasing Transparency. Thanks to this portal citizens know at all times exactly:
Government Insight and Accountability. Clarity in government plan implementation, reusing information and becoming a more open and transparent government
Ingest millions of city events and gain insights in real-time, with Stream Analytics and Event Hub Analytics technologies.
About Internet of Things (IoT) scenarios, such as real-time remote management and monitoring or gaining insights from city sensors and devices like mobile phones. Machine learning identifies anomalies and when a specific error or condition appears it triggers alerts and takes intelligent actions, in real-time.
Get the most out of your business. Work intelligently.
Power BI is the most complete suite of business analytics tools which converts complex amounts of data into rich visuals. With the help of Power BI you will be more knowledgeable about the intricate details of how your company is operating, helping you to get answers quicker and easier, and make better decisions.
There’s a lot more information being created in the world by almost everything that people do, yet so much of this data goes unacknowledged and unused. Much of this data is too vast for any human to organise or utilize. Our Big Data solutions are here to solve that problem by letting complex algorithms organise this data instead, giving us in turn a much more complete picture of what we’re looking at – discovering market trends, predicting market behavior, and identifying new revenue streams are just some of the possibilities with Big Data.
Machine Learning let’s computers learn and analyse data and offer predictions based off their findings, without being explicitly programmed to do so. Machine Learning works by allowing the machines the algorithms they need to set in motion the learning process and recognise patterns in huge swathes of data. The power of this technology can be used to uncover hidden insights that would be impossible to find otherwise.
Big Data solution to improve the management and promotion of tourist destinations to be more competitive, through capturing and analyzing real time information related to tourist activity.
It correlates multiple sources of data coming from social media, booking portals, blogs, mobile operators and purchases made by credit cards. We disclose the level of satisfaction and opinion of visitors and residents, their time tables, where they come from, where they are going next, the real economic impact in the territory, where and what they spend their money on
The Machine Learning Coverage model methodology:
Designing the mathematical model which optimizes the location of new centers.
Crowd Management Center to manage Big City Events
The face detection solution aims at anticipating overcrowding and preventing incidents in city festivals, live concerts, sporting events and for pilgrims visiting holy places. It provides facial recognition, matching faces with a database, identifying individuals wanted by police.
Tourist offer recommendations based on emotion, gender and age recognition
The Emotion Recognition software takes an image as an input, and returns the confidence across a set of emotions for each face in the image.
The Machine Learning algorithm will recommend the most suitable tourist offers according to the emotional state, in real time.
Understand waiting times and develop strategies for improving the quality of service. Facial images may be captured The system can now calculate how long it took the person to queue. The person can be tracked right through the center.
The system can determine how long a person spends in different parts of a mall or different parts of a store. The system does not need to recognize individuals. It simply enrolls them in a data-base when they are first seen and calculates how long they spend between two points.
Real time dashboard and Machine learning solution for fleet management, to plan, monitor and act.
IoT, Big Data and Machine Learning platform for improving the efficiency of their bus and train network and staff, to increase the information, availability and comfort for their customers, to reduce the carbon emission and fuel consumption and to reduce ticket prices as a result of improved efficiency.
Smart Social Home Care for aging population and the vulnerable population. Big Data solution for healthcare & social services planning.
Data correlation of Social Services, Healthcare, Population, Economic activity, electricity and water supplies, waste management, and others, is the most revolutionary approach to solve the toughest problems our cities (and society) have to face: the aged, loneliness, social exclusion, mental health, social care and public health investment.
The emerging use of data involved with the environmental and social determinants of health.
It is a good framework to allow governments, clinicians, social workers or other professionals, involved directly or indirectly in health care, to help patients efficiently.
Machine learning solution which minimizes the number of readmissions in the Hospital and reduces the hospital stay by identifying the population risk segments and the situations that occur when patients are readmitted. It improves the patient quality of life and cost saving.
Machine Learning engine that correlates statistical Information about different variables such as the doctor, the service, the diagnosis, the time of day, the age range and the place of origin. This platform clusters different groups of variables to identify patterns. To discover insights not foreseen by the analysts
Big Data allows you to discover market trends; to know citizens’ sentiments about your brand, your products or your services; to predict consumer behavior and to identify new business opportunities.
Capture real feedback from social media networks: Thematic detection and analysis. Sentiment analysis. Demographic and geographic analysis, Affinity Analysis
Advances in data analytics and machine learning now allow the data silos to be analyzed, helping departments pinpoint not only where crime is likely to occur, but when and under what circumstances. Where do people gather after sporting events? What happens when the weather turns warm? How do patterns change when school is out?
By leveraging computer models that take into consideration historical crime trends, demographics, climatology, geospatial information, and other data sets, law enforcement agencies can better plan where to deploy their resources.
The aim of the project is to provide a machine learning service that predicts: The traffic accidents amount, in each geographic point, for the next period of time.
Depending on the environmental conditions at the time the prediction is made. The solution prescribes actions to minimize the number and impact of such accidents minimizing the needed resources.