IN SHORT 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 the concepts of machine learning. Mathematics is at the heart of analytical tools to extract meaningful insights. … Read more
IN BRIEF Optimization of physical and informational flows in the 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 enhance processes. Conceptual models to assist in decision-making. Issues and challenges in sectors such as automotive. Emergence of operations research … Read more
IN BRIEF Data analysis for informed decisions. Statistics as decision-support tools. Impact of data on strategic choices. Optimization of resources through statistical methods. Simplification of decision-making despite the complexity of data. Growing use of business data for optimal decisions. Fundamental role of statistics in corporate strategy. In a world where information abounds, statistics present themselves … Read more
IN BRIEF Big Data: refers to the huge and complex data that exceeds the capabilities of traditional tools. Big Data Architecture: technological structure and arrangement for collecting, storing, and analyzing data. Data exploitation: understanding the stakes to optimize the use of collected data. Digital Revolution: impact of Big Data on businesses and their decision making. … Read more