The use of Big Data and AI in Climate Risk Management
Knowing when and where extreme climate conditions are likely to occur is vital for businesses.
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The Role of Technology in Wildfire Prevention and Management
Satellite images, unmanned aerial vehicles, GIS mapping, forecasting models, advanced ecological monitoring, and robotics.
Artificial Intelligence and ERP Systems: A Strategic Approach
Automated Execution of Repetitive Tasks, Predictive Analysis, Chatbots, and Virtual Assistants. The contribution of AI to ERP systems.
How artificial intelligence can be used in Software as a Service environments
What if AI tools had access to databases of well-organized SaaS services.
Sales Network Expansion with the help of advanced Data Analysis and Machine Learning tools.
With data from internal and external business sources, decision making will be based on documented and reliable information.
Decoding the Future: The Impact of Climate Predictions on Policy and Planning
How climate predictions shape policies, guide urban planning, and drive business innovation for a sustainable and resilient future.
Big Data Analytics in Commerce and Supply Chain management - Part 2
Making decisions based on information found in internal or external sources in order to improve performance and results.
Using the Copernicus external database to identify Climate Change risks
Managing and responding to climate change risks using Copernicus data and applying Artificial Intelligence techniques.
Big Data Analytics applied in the Commerce and the Supply Chain Sector – Part I
Credible information on customer behavior and marketing campaigns, supply chain management and logistics.
Artificial Intelligence in business: From theory to action
AI is here to stay, revolutionising the way businesses operate, offering numerous opportunities for efficiency and innovation.
Data is empowerment. But how do we make use of it?
A robust analytics infrastructure is required to collect, store, analyse and use data for them to provide useful intelligence.
The "data", they do speak! We are not listening!
The "data" do speak and they give useful insights. But we must learn to use the associated technologies and manage false results.
Innovative technologies at the service of risk analysis.
Identification, assessment, mitigation measures and prediction of risks using Data Engineering, A.I., Machine Learning, IoT.
Natural Language Processing in Risk Management
Today's intelligent applications are able to extract information from texts with great accuracy, even if they are in free form.
Carbon offsetting: is it a solution or not for zero carbon emissions?
With carbon offsetting a company can achieve part of its goal of a carbon neutral zero balance. But are there drawbacks in this solution?
Applications of Big Data and Predictive Analytics in the Agricultural Industry
May the use of big data and predictive data analysis change the agricultural industry?
The use of maps and scenarios in Climate Risk Management
Knowledge of how climate variables will evolve in the future is crucial to the sustainability of a country or company.
Sustainable Agriculture
Sustainable agriculture is meeting society's needs for agricultural products without compromising the future coverage of these needs.
New Technologies are changing Agricultural Production and Livestock Farming
Innovative technologies bring new practices in agricultural production and livestock farming, making them more productive and sustainable.
Estimating carbon emissions using satellites
Technological innovations such as IoT and satellite systems are the future of how data on emissions will be collected.
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