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Business Computing & Artificial Intelligence (Compilation)

Editors

Theresa Phinney
Peer Reviewer
Mark Keith, Ph.D.
Peer Reviewer
Nick Bahr
Content Editor
Teri Brandenburg, Ph.D.
Content Editor
Holly Adams
Content Editor
Edition 1
(rev. 195)

Chapter 1 | Information Systems: Explores AI's growing role in business, its potential to replace jobs, and the importance of continuous tech education. It discusses Business Information Technology (IT), emphasizing end-user skills, operating systems, and business applications like spreadsheets, word processors, databases, and presentation software. Adapting to technological advancements is crucial for informed business decision-making.

Chapter 2 | Software: Application software, distinct from system software, encompasses programs designed to perform specific tasks, such as creating documents, managing data, or facilitating communication. Examples include word processors like Microsoft Word, spreadsheets like Excel, and presentation tools like PowerPoint. These applications are essential in business for their versatility and ability to enhance productivity. Furthermore, artificial intelligence increasingly augments these tools, providing capabilities such as data analysis, predictive analytics, and natural language processing, significantly improving efficiency and decision-making processes.

Chapter 3 | Inside the Computer: Understanding a computer's internal components, such as the motherboard, power supply, disk drives, and memory, is crucial for informed business decisions, especially when replacing outdated systems. These elements impact performance and compatibility with current technologies. Recognizing potential issues and technological advancements helps businesses make cost-effective, strategic choices, ensuring the longevity and efficiency of their computer infrastructure.

Chapter 4 | Operating Systems and Platforms: Operating Systems like Windows operate as a foundational platform, akin to a house’s base, supporting various application software. Its dominance in the personal computer market stems from strategic business decisions rather than purely technological superiority. Competing operating systems like macOS, Linux, and Chrome OS each cater to specific user needs, influencing market dynamics and business technology choices.

Chapter 5 | Data Storage: Computers operate on a binary system, representing data as 1s and 0s, similar to how a toaster is either on or off. Data is converted into bits and bytes, stored in ASCII code. Storage types include primary (volatile RAM) and secondary (non-volatile drives). Effective data storage strategies are vital for business continuity and efficiency.

Chapter 6 | Green Business Computing: Green business computing emphasizes energy efficiency, responsible packaging, and minimal waste. As climate change concerns grow, organizations are adopting sustainable IT practices. Initiatives like EPEAT and Energy Star® guide businesses in selecting eco-friendly technology. Chief Information Officers (CIOs) prioritize green computing to reduce costs and environmental impact, recognizing its importance for long-term sustainability.

Chapter 7 | Computer Networks: A computer network connects two or more computers, enabling resource sharing and communication. This connectivity offers significant advantages over stand-alone systems, such as shared access to files, printers, and software. Networks enhance efficiency, collaboration, and cost savings, making them essential for businesses of all sizes, from small enterprises to large corporations.

Chapter 8 | The Internet: The Internet, originating from the ARPANET in the 1960s, evolved into a global network enabling data exchange and communication. The development of HTML and HTTP by Tim Berners-Lee in the early 1990s laid the foundation for the World Wide Web, allowing seamless information sharing across diverse systems and fostering the rapid growth of online resources.

Chapter 9 | AI in Business: Artificial Intelligence (AI) in business enables computers to perform tasks like humans, enhancing efficiency and decision-making. Chatbots streamline customer service, predictive analytics forecast trends, and supply chain optimization boosts efficiency. Despite AI's potential, it has limitations like prompt sensitivity and contextual understanding, raising concerns about its accuracy and bias.

Chapter 10 | Cloud Computing: Storage as a Service (StaaS) enables users to save data on remote servers, providing cost efficiency, scalability, and accessibility from anywhere with an internet connection. This cloud-based model helps businesses avoid investing in physical storage infrastructure while ensuring data security and backup, facilitating focus on core business goals rather than storage management.

Chapter 11 | Business Intelligence: Business Intelligence (BI) utilizes data analysis tools to extract actionable insights from structured data, aiding informed decision-making and enhancing business performance. Unlike Artificial Intelligence (AI), which simulates human intelligence to learn and predict, BI focuses on analyzing historical and present data to provide valuable insights for strategic planning and operational efficiency.

Chapter 12 | Mobile Applications: The rise of mobile applications in 2008, spurred by major app stores from Apple, Google, and Microsoft, democratized coding and enabled widespread app development. This shift allowed individuals and corporations alike to contribute to the app market, reducing barriers and fostering innovation in mobile technology. Now, almost anyone can create and distribute apps globally.

Chapter 13 | Information Systems in Business: Business departments, whether in global enterprises or small businesses, share core functions: accounting, human resources, marketing, research and development, and production. Information technology plays a crucial role in these departments, enabling effective communication and collaboration. This interconnectedness helps businesses make informed decisions, optimize operations, and achieve common goals.

Chapter 14 | Spreadsheets: Spreadsheets, like Microsoft Excel, organize, analyze, and manipulate numerical data in a tabular format. They offer robust calculation capabilities, data analysis, budgeting, and visualization tools. Common uses include financial forecasting, project management, and inventory tracking. Spreadsheets facilitate dynamic data management, enabling users to create scenarios, automate tasks, and collaborate effectively on various projects.

Chapter 15 | Database and Business Systems: Business system reporting involves extracting data from information systems to aid decision-making. Reports can be periodic or on-demand, ranging from detailed transaction records to high-level summaries. Key types include strategic, tactical, and predictive reports. By organizing and analyzing data, these reports help businesses make informed decisions, optimize operations, and identify trends.

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