Al is currently being used in information systems to aid data analysists by identifying patterns in big data, identifying trends, detecting anomalies, visualizing data, preparing data and completing complex tasks.
• These tasks can be assigned to Al seeing that Al can work through vast amounts of information in seconds and having the ability to interoperate information like a human would.
• Ironically, Al needs a large amount of data to be able to work on and interoperate data sets. This is called machine learning, where the Al learns from large datasets and example on how it is supposed to work and will perform tasks by using what it has learned.
• Al betters the way data is collected. This can be done with, for example, speech recognition replacing over the phone surveys as well as image interoperation making it possible to automatically obtain data from physical forms.
• Databases make use of Al to prepare and present usable data instead of just providing storage.
Information Systems (IS) in a business context refer to the combination of people, processes, data, and technology that work together to collect, process, store, and disseminate information for effective decision-making and organizational management.
Chatbots: AI-based chatbots are used in customer service to provide instant responses to user queries on the website or through messaging platforms.
Predictive Analytics: AI algorithms analyse large data sets to identify patterns and trends, helping businesses make informed decisions and predictions.
Recommender System: platforms like Netflix and Amazon use AI to analyse user preferences and recommend products or content based on individual behaviour.
Natural Language Processing (NLP): AI application in NLP allows machines to understand, interpret and create text like humans, thereby improving communication and information processing capabilities.
Enterprise resource planning (ERP) systems: These integrated software solutions manage various business processes, including finance, human resources and supply chain, streamlining operations and creating Favorable conditions for data flow between different departments.
Customer Relationship Management System (CRM): The CRM system helps businesses manage and analyze customer interactions, improve relationships, and drive sales growth.
Management Information System (MIS): MIS provides managers with information and reporting to support decision making at the operational and tactical levels within an organization.
Business Intelligence (BI) Systems: BI systems collect, process, and analyze data to provide insights into business performance, helping organizations make data-driven decisions .
Knowledge Management Systems: These systems facilitate the creation, storage, retrieval, and sharing of organizational knowledge, promoting collaboration and innovation.