LECTURAS MUNDO EMPRESA - Lecturas sobre las Organizaciones Empresariales

  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...

Introduction to Artificial Intelligence in Business Artificial intelligence (AI) has gone from being a science fiction concept to a ubiquitous reality in our daily lives and business environments Over the past few decades, AI has evolved significantly, transforming the way businesses operate, compete, and create value in the global marketplace Evolution of AI AI began as a field of scientific study in the 20th century, with the Dartmouth conference in 1956, hosted by John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon This event is widely recognized as the formal birth of AI as an academic discipline, where the term "artificial intelligence" was coined and the goal was set to develop machines that could simulate all aspects of human intelligence Since then, AI has experienced several periods of optimism and intense investment, known as "AI summers," followed by periods of disillusionment and reduced funding, known as "AI winters." Despite...

  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...