大数据
商业分析
商业智能
转化(遗传学)
计算机科学
分析
数据科学
数据分析
知识管理
数据挖掘
业务
商业模式
业务分析
营销
化学
生物化学
基因
作者
Parijata Majumdar,Sanjoy Mitra
出处
期刊:Studies in big data
日期:2024-01-01
卷期号:: 335-353
被引量:1
标识
DOI:10.1007/978-981-97-0448-4_16
摘要
Artificial intelligence (AI), big data, and business analytics are the most commonly used and complete common sense cognitive tools in the ecospheres today, and they have garnered a lot of attention for their ability to influence organizational decision-making. With the use of these technologies, firms are able to provide valuable data and obtain answers that will improve their performance and provide them with a competitive advantage. A customer relationship management (CRM) and enterprise resource planning (ERP) business system, for example, can be integrated with AI solutions through the AI business platform paradigm. In addition to providing pattern analysis, big data analytics (BDA) enables automatic future event forecasting. BDA may revolutionize organizations and create new commercial prospects using AI. The goal is to highlight the preventive aspects of using AI and ML in conjunction with big data analytics (BDA) to pursuit digital platforms for business model innovation and dynamics. Additionally, a thorough assessment of the literature has been provided with an emphasis on the necessity of business transformation, the function of BDA, and the role of AI. One particular case study namely Big Mart Sales forecasting was discussed, compared and analyzed in the context of business transformation. The chapter discusses the possible obstacles to firms implementing AI and BDA. It will offer firms a roadmap for utilizing AI and BDA to generate commercial value.
科研通智能强力驱动
Strongly Powered by AbleSci AI