IN SHORT Optimization of physical and informational flows in industry. Significant contribution to logistics and competitiveness. Application of applied mathematics for predictive models. Key role in addressing industrial problems. Use of artificial intelligence to improve processes. Conceptual models to aid in decision making. Issues and challenges in sectors such as automotive. Emergence of operational research … Read more
IN BRIEF Data analysis for informed decisions. Statistics as decision-making tools. Impact of data on strategic choices. Optimization of resources through statistical methods. Simplification of decision-making despite data complexity. Growing use of business data for optimal decisions. Fundamental role of statistics in corporate strategy. In a world where information abounds, statistics present themselves as an … Read more
IN BRIEF Big Data: refers to large and complex data sets that exceed the capabilities of traditional tools. Big Data Architecture: the structure and technological arrangement to collect, store, and analyze data. Data Exploitation: understanding the issues to optimize the use of collected data. Digital Revolution: the impact of Big Data on businesses and their … Read more
IN BRIEF Big data requires applied mathematics. Statistics and probabilities are essential for data analysis. Optimization is a key tool for processing data. Understanding algorithms such as Deep Learning is crucial. Data Scientists and Data Engineers must master machine learning concepts. Mathematics is at the core of analytical tools to extract meaningful insights. Effective data … Read more