1. AI (Artificial Intelligence): The simulation of human intelligence processes by machines, especially computer systems. These processes include learning, reasoning, and self-correction.

  2. Generative AI: A subset of AI that involves models that can generate new content—from text to images—based on the patterns and information they have learned from data.

  3. Automation: The use of technology to perform tasks with reduced human intervention. This often involves mechanized or digital systems taking over tasks traditionally done by humans.

  4. Business Analytics: The practice of iterative, methodical exploration of an organization’s data, with an emphasis on statistical analysis. It is used by companies committed to data-driven decision-making.

  5. Business Intelligence (BI): Technologies, applications, and practices for the collection, integration, analysis, and presentation of business information. The purpose is to support better business decision-making.

  6. Analytics: The process of exploring data and reports in order to extract meaningful insights, which can be used to better understand and improve business performance.

  7. Predictive Analytics: The use of data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes based on historical data.

  8. Machine Learning (ML): A subset of AI that enables systems to learn from data, identify patterns, and make decisions with minimal human intervention.

  9. Large Language Models (LLM): Types of machine learning models that understand and generate human-like text based on the training they have received from vast datasets of existing text.

  10. Natural Language Processing (NLP): The branch of AI focused on enabling computers to understand, interpret, and respond to human language in a way that is both meaningful and useful.

  11. Remote Production: The technique of producing television and video content in locations away from the studio or primary location, often leveraging cloud technologies and internet connectivity.

  12. Automated Production: The use of automated systems and technologies to manage and control the production process in industries such as manufacturing, media, and others.

  13. Augmented Reality (AR): An enhanced version of reality created by the use of technology to superimpose digital information on an image of something being viewed through a device (such as a smartphone camera).

  14. Virtual Reality (VR): An artificial environment which is experienced through sensory stimuli (such as sights and sounds) provided by a computer and in which one’s actions partially determine what happens in the environment.

  15. Internet of Things (IoT): The interconnection via the Internet of computing devices embedded in everyday objects, enabling them to send and receive data.

  16. Smart Stadium: A venue equipped with advanced technologies, such as IoT devices, to enhance the experience of attendees and streamline operations.

  17. Smart Venue: Similar to smart stadiums, these are venues that incorporate various technological systems and infrastructures to optimize both performance and visitor experience.

  18. Customer Relationship Management (CRM): A strategy for managing an organization’s relationships and interactions with current and potential customers. It uses data analysis about customers’ history with a company to improve business relationships with customers, specifically focusing on customer retention and ultimately driving sales growth.