LECTURAS MUNDO EMPRESA - Lecturas sobre las Organizaciones Empresariales

  Artificial Intelligence and Medicine — A Clear and Accessible Look at the Future of Health Book Details Title: Artificial Intelligence and Medicine Authors: Miriam Cobo Cano and Lara Lloret Iglesias Publisher: CSIC / Los Libros de la Catarata Collection: ¿Qué sabemos de...? (No. 145) ISBN: 978-84-00-11149-6 Year of Publication: 2023 Pages: 105 Format: Print and Electronic Version Place of Publication: Madrid About the Authors Miriam Cobo Cano is a predoctoral FPU researcher at the Institute of Physics of Cantabria, where she is developing her thesis on the optimization of medical imaging diagnostic systems using artificial intelligence techniques. She holds a degree in Physics and a master’s degree in Data Science from the University of Cantabria and the Menéndez Pelayo International University. Lara Lloret Iglesias is a senior scientist at the same institute, with a PhD in Particle Physics and a specialization in deep learning applied to medical diagnos...

  Artificial Intelligence: The Technology That Will Change the World  — Inteligencia Artificial: la tecnología que cambiará el mundo 📇 Book Details Title :  Artificial Intelligence: The Technology That Will Change the World Author : Roberto Velasco Foreword : Josu Jon Imaz Publisher : Alt Autores Servicios Editoriales, S.L. ISBN : 978-84-19880-16-1 Language : Spanish Format : Paperback Publication Date : March 14, 2024 👤 About the Author Roberto Velasco  is a retired professor of Applied Economics at the University of the Basque Country (EHU/UPV). Throughout his career, he served as president of the Spanish Association of Regional Science and as an economic consultant for prestigious institutions such as the Inter-American Development Bank (IDB), the European Commission, and the OECD. He also held leadership roles in key organizations for the Basque Country’s industrial transformation, in...

  Impact of AI in Different Industries Artificial intelligence (AI) is influencing a wide variety of sectors, optimizing processes, improving efficiency, and creating new opportunities. In this entry, we will analyze how AI is transforming industries such as healthcare, finance, retail, manufacturing, entertainment, agriculture, energy, education, logistics, public sector, security, construction, tourism, real estate, and art. We will highlight specific examples of how AI is revolutionizing each of these industries. Healthcare In the healthcare sector, AI is improving the diagnosis and treatment of diseases by analyzing large volumes of medical data. AI algorithms can identify patterns in patient data that doctors might overlook, enabling more accurate diagnoses and personalized treatments. Example:  A hospital uses AI to analyze medical images and detect early signs of cancer. AI can identify anomalies with greater accuracy than human radiologists, allowing for faster...

  Applications of AI in Different Functional Areas Artificial intelligence (AI) is revolutionizing various functional areas within companies, offering innovative solutions and improving efficiency. In this post, we'll explore how AI is being used in marketing and sales, operations, human resources, and finance. We'll include specific examples of AI applications in each area, such as marketing personalization, process automation, candidate screening, and fraud detection. Marketing & Sales AI is transforming marketing and sales by enabling personalized campaigns and optimizing pricing strategies. For example, AI algorithms analyze customer data to create targeted marketing campaigns that resonate with individual preferences In addition, AI-powered tools can predict customer behavior and optimize pricing to maximize revenue Example: An e-commerce company uses AI to analyze the purchase history and browsing behavior of its customers. With this information, AI can rec...

  What is data management? Data management involves collecting, maintaining, and using data in a secure, efficient, and cost-effective manner. Its goal is to help organizations optimize the use of data within the boundaries of policies and regulations [1]. Key components of data management Data collection : Obtaining data from various sources. Data Warehousing : Save data to databases, data lakes, or clouds. Data processing : Cleansing, transforming, and organizing data for analysis. Data analysis : Use tools and algorithms to extract valuable information. Security and privacy : Protect data from unauthorized access and comply with regulations. Archiving and destruction : Managing the lifecycle of data, including its secure disposal [1] [2] . Benefits of good data management Improved decision-making : Accurate and well-managed data allows for more informed decisions. Operational efficiency : Faster pr...