Ravindran Kandasamy

This increased dependence on artificial intelligence (AI) independent of human involvement in the process of corporate work is transforming the nature of the entire process of decision-making and questions the long-established system of corporate liability and accountability. Harm and loss to artificial intelligence by operation regimes of limited human influence, adaptive learning, and obscure decision-making logic can be difficult to comprehend by traditional, human-centric approaches through the prism of the law, e.g. negligence, vicarious liability or product liability. This chapter critically examines the legal and ethical concerns, and the governance concerns, which the autonomous AI implies in regard to the key functions of a corporation like human resources, finance, healthcare, customer service, and manufacture. Using the comparative regulatory trends and international standards, the chapter explains the new gaps in accountability concerning transparency accountability, causation, and sharing responsibility. The chapter suggests the principles of a lifecycle based and a distributed accountability that would include legal enforceability, ethics, and corporate governance mechanisms to overcome the existing challenges. The suggested framework is a realistic guideline to corporate figures, regulating groups, and AI programmers that can help bring the issue of responsible AI control and re-writing corporate accountability into the present-day discussion of the responsible AI governance and the re-writing of the core principles of corporate liability in the age of Autonomic Operation System.

This chapter investigates the PRISMA model for linking agility and sustainability into company strategy. It illustrates a noticeable shift of realizing the importance of finding a balance between long term resilience and adaptation. The former enables companies to fulfill the demands of a dynamic and transforming market while the latter sets out guidelines for their responsible and ethical operation. Although the two paradigms are very important, they are independent of each other most of the time; the relationship between them is the trade-off not the complementary.

Agile techniques were first created for software projects, but they have found a lot of use in digital marketing, particularly in this fast-paced age of changing customer behavior and rapid technological breakthroughs. This study investigates how agile concepts might be included into expanding companies' digital marketing plans. Businesses can improve their responsiveness to changes in the market by emphasizing flexibility, iterative progress, cross-functional collaboration, customer-centric approaches, rapid response to change, and data-driven decision-making. This study's model shows how agile approaches have a direct impact on consumer engagement, conversion rates, return on investment, brand awareness, and campaign performance in digital marketing. According to our research, companies can maintain their competitiveness, quickly adjust to changes in the market, and experience sustainable growth in the ever-changing digital landscape by implementing agile practices.

The transition from Beyond 5G (B5G) to 6G is a sea change in wireless communication technology, which is expected to upend industries such as transportation, healthcare, and manufacturing. By expanding upon the 5G network's current capabilities, B5G boosts mobile broadband, reduces power consumption, and maximizes spectrum usage. Advanced Internet of Things (IoT) devices and real-time applications are made possible by essential features like massive machine-type communications (mMTC) and ultra-low latency. The advent of 6G in the 2030s heralds revolutionary improvements such as intelligent surfaces, AI-driven network automation, and terahertz transmission frequencies. Thanks to this development, previously unimaginable speeds and bandwidth will be available, allowing for a proliferation of networked devices with latency reduced to microseconds. While resolving issues with present networks, these advancements will provide state-of-the-art solutions for smart cities and digital twins and enhance existing networks' capacities.

The deployment of renewable energy technologies (RETs) in rural areas is examined in this chapter, with special attention paid to the opportunities and particular constraints that these places bring. This chapter offers a thorough review of the status of renewable energy technologies (RETs), highlighting the major governmental, technical, economic, social, cultural, and environmental obstacles that prevent RETs from being widely adopted in rural areas. Because it tackles the urgent need for sustainable energy solutions in rural areas where traditional energy access is still restricted, the research discussed in this chapter is noteworthy. Through the identification and analysis of deployment issues, this chapter adds to the larger conversation on rural electrification and sustainable development. To close the energy gap and advance global sustainability, policymakers, practitioners, and academics seeking to increase the adoption of renewable energy in underserved areas can benefit greatly from the conclusions and suggestions made.

This chapter explores the role of legislative and regulatory frameworks in enhancing B5G and 6G connectivity in rural areas. It highlights challenges like inadequate infrastructure and high costs that hinder services and growth. B5G and 6G promise transformative benefits with high speeds and innovative applications. The chapter advocates for robust policies on spectrum allocation, infrastructure incentives, and Universal Service Obligations (USOs) while addressing the impact of emerging technologies and trends in cybersecurity and sustainability.

With the promise of previously unheard-of improvements in connectivity, speed, and intelligent networking, the introduction of beyond 5G (B5G) and 6G technologies represents a dramatic turn in the development of telecommunications. This summary delves into the core ideas, possible uses, and significant technical breakthroughs that are propelling the development of B5G and 6G. It explores the anticipated enhancements over 5G, such as higher data rates, lower latency, better energy efficiency, and the incorporation of cutting-edge technologies like ML, AI, and the Internet of Things (IoT). The study also discusses the benefits and difficulties that come with the rollout of B5G and 6G networks, highlighting the revolutionary effects that these networks will have on a number of industries, including smart cities, transportation, and healthcare. This research attempts to clarify the important features of B5G and 6G technologies and their potential to completely transform global communication networks in the future by offering a thorough introduction.

Intelligent process automation represents a significant leap forward in the integration of artificial intelligence and robotic process automation to streamline and enhance various business operations. As industries strive to improve efficiency, reduce costs, and stay competitive, the adoption of IPA has gained considerable momentum. This chapter explores the transformative potential, current applications, and future trends and innovations of IPA. The primary objective is to provide a comprehensive analysis of how IPA is being utilized across diverse industries, including finance, healthcare, manufacturing, retail, telecommunications, and insurance. It addresses key questions regarding the components and technologies underpinning IPA, its benefits and challenges, and future research opportunities. A multi-method approach was employed, including a thorough review of existing literature and interviews with industry experts. The chapter is structured to provide an in-depth overview of IPA, followed by detailed examinations of its applications across various industries. Benefits such as increased efficiency, cost reduction, and improved accuracy are discussed alongside challenges like system integration and data security. Future trends and innovations in IPA are highlighted, and real-world case studies provide practical insights. The chapter concludes with strategic recommendations and a summary of key findings, aiming to guide further research and development in the field of IPA.