Transformative Power of Artificial Intelligence in Decision-Making, Automation, and Customer Engagement

Transformative Power of Artificial Intelligence in Decision-Making, Automation, and Customer Engagement

R. Nalini
Copyright: © 2024 |Pages: 20
DOI: 10.4018/979-8-3693-0712-0.ch009
OnDemand:
(Individual Chapters)
Available
$37.50
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

In the modern business landscape, innovation has become a key driver of success and competitive advantage. To foster innovation within their organizations, leaders play a crucial role in harnessing the synergy between data, technology, design, and people. This integration allows them to effectively address real-world challenges on a large scale, driving transformation and growth. At the heart of AI's contribution to data-driven decision-making lies its ability to process vast datasets with remarkable efficiency. Traditional manual analysis methods are not only time-consuming but also prone to human biases and errors. AI, on the other hand, is driven by data, allowing it to make objective assessments devoid of human preconceptions. This not only enhances decision accuracy but also provides a solid foundation for devising strategies that align with actual market trends and customer preferences.
Chapter Preview
Top

The definition of digital innovation is continually evolving, with new technological developments emerging almost daily. Keeping pace with these advancements is crucial for organizations seeking to effectively leverage new and emerging technology. However, it's important to note that not every new technology will be suitable for every business. Let's explore some current trends that may impact various industries:

Machine Learning (ML) and Artificial Intelligence (AI) are revolutionizing a wide range of sectors by facilitating improved analytics, automation, and tailored experiences. Businesses can automate processes, enhance decision-making, and extract valuable insights from vast datasets using AI and ML.

As IoT (Internet of Things) devices expand, businesses have numerous options for collecting and analyzing real-time data. Embracing IoT technologies can improve operational efficiency, supply chain management, and customer experiences.

Cloud computing and hybrid infrastructures have fundamentally altered how firms approach infrastructure and application deployment. Cloud platforms' scalability, flexibility, and affordability enable businesses to accelerate innovation and respond to changing market demands.

Data privacy and cybersecurity are closely related issues that gain importance as digital innovation continues to grow. Businesses must prioritize cybersecurity and establish robust defences against ever-evolving threats.

Artificial Intelligence (AI) is a significant driver of change in various industries, profoundly impacting business management. This new technology, rooted in machine learning and data analysis, has the potential to reshape how businesses operate, make decisions, and engage with stakeholders and customers. AI is ushering in dramatic changes in business management, from data-driven decision-making to process automation and customer insights.

Every sector of the economy closely monitors future trends, and discussions about artificial intelligence (AI) inevitably arise in each of these fields. The potential for AI to fundamentally transform work processes is enormous. AI encompasses a broad spectrum of cutting-edge technologies, including automation, machine learning, and cognitive interaction. Businesses are utilizing these technologies to enhance overall efficiency across all industries. In a 2018 survey conducted by Harvard Business Review, which polled 250 CEOs about their companies' use of cognitive technology, three-quarters predicted that AI would have a significant impact on their industries within the next three years.

Complete Chapter List

Search this Book:
Reset