This chapter examines how artificial intelligence (AI) and machine learning (ML) may help businesses evolve. It offers a fundamental overview of AI, including its history, types, and algorithms. The chapter analyzes the economic implications of AI adoption, emphasizing advantages such as revenue growth, cost savings, efficiency improvements, and risk reduction, which are depicted using mathematical models. Several AI applications in business processes are discussed, including process automation, decision-making, and customer experience adaptation. AI-powered automation, predictive analytics, and supply chain optimization are among the key themes highlighted, as well as potential futures. Ethical issues for AI adoption are also discussed, including a job displacement, privacy, bias, and transparency. The chapter ends by discussing legal frameworks such as GDPR and HIPAA, highlighting the need for compliance in ensuring responsible AI usage in businesses such as banking, healthcare, and human resources.

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Understanding Artificial Intelligence

  • Riktesh Srivastava

摘要

This chapter examines how artificial intelligence (AI) and machine learning (ML) may help businesses evolve. It offers a fundamental overview of AI, including its history, types, and algorithms. The chapter analyzes the economic implications of AI adoption, emphasizing advantages such as revenue growth, cost savings, efficiency improvements, and risk reduction, which are depicted using mathematical models. Several AI applications in business processes are discussed, including process automation, decision-making, and customer experience adaptation. AI-powered automation, predictive analytics, and supply chain optimization are among the key themes highlighted, as well as potential futures. Ethical issues for AI adoption are also discussed, including a job displacement, privacy, bias, and transparency. The chapter ends by discussing legal frameworks such as GDPR and HIPAA, highlighting the need for compliance in ensuring responsible AI usage in businesses such as banking, healthcare, and human resources.