AI IN FUNDAMENTALS OF FINANCIAL MANAGEMENT

The journey starts with an examination of the development
and beginnings of artificial intelligence, emphasising its

commercialization and close ties to enormous datasets. Enterprise-
focused AI innovations are explored, highlighting the significant

influence of AI technology on the corporate environment. This
collection explores the relationship between AI-powered insights
obtained from multiple sources, including social media data, and
data-driven decision-making, with a focus on big data and business
processes.
After that, the conversation shifts to Financial research and
shows how AI integration has changed the industry. These chapters
highlight the dynamic role AI plays in analysing market trends and
customer behaviours, from comprehending regional cultural quirks
to using data mining and analytics. An examination of qualitative
and quantitative research methods rounds off the part, emphasising
the growing influence of artificial intelligence on how market
research will develop in the future.
The investigation continues into the field of product
creation, revealing the ways in which AI interacts with the four Ps:
planning, marketing, and business. These chapters offer a thorough
overview of how AI technologies have altered the way goods are
imagined, manufactured, and brought to market by looking at the
role of AI in supply chain management, manufacturing, and product
development.
The focus of the investigation then switches to artificial
intelligence (AI) in marketing, highlighting its many
implementations in customer analysis, market research, and
strategic marketing. It explores AI-enabled products and their
effects on several industries, including retail, banking, healthcare,

education, and the auto industry.
The emphasis is then limited to AI’s critical role in financial
management, including investment banking, asset management,
credit management, and security. These chapters explain how
artificial intelligence (AI) technologies are improving risk
management and decision-making in the financial sector.
Subsequently, the collection explores the amalgamation of artificial
intelligence (AI) and customer relationship management. It
delineates the progression of AI technologies for customer service,
comprehensible AI tools, and diverse applications that augment
client loyalty and engagement. Readers learn how AI is
incorporated into the business plans of top companies through case
studies from the actual world.