Decoding Data Governance In The Era Of Ai


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Decoding Data Governance in the Era of AI


Decoding Data Governance in the Era of AI

Author: Rajashree Ambhore

language: en

Publisher: Pen2Print

Release Date: 2025-01-31


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This book, “Decoding Data Governance in the Era of AI,” delves into how data governance principles can help organizations thrive in the digital economy dominated by artificial intelligence. It’s divided into four parts: • Part I: The Business Transformation Powered by Data and AI explains why data and AI have become indispensable for modern businesses. • Part II: Building the Data-Driven Organization explores the cultural, structural, and ethical changes necessary to effectively govern data and foster a data-centric culture. • Part III: Harnessing AI for Business Advantages examines how organizations can leverage AI for automation and decision-making while mitigating risks and bias. • Part IV: The Future of Data Governance and AI addresses emerging trends, case studies, and the urgent need for flexible governance frameworks in a rapidly evolving technological landscape. Drawing on real-world examples from various industries, the book illustrates the tangible benefits of robust data governance from improved decision-making to ethical AI applications. Throughout, the authors emphasize the importance of technological innovation alongside ethical and regulatory obligations guiding AI’s development. The goal is to provide leaders, data professionals, and policymakers with actionable strategies for establishing, refining, and scaling data governance programs that power AI-driven success responsibly. In the last ten years, organizations have experienced an extraordinary increase in the volume, speed, and diversity of data, commonly known as the "three Vs" of big data. Simultaneously, AI technologies have matured rapidly, driving breakthroughs as diverse as personalized medicine, predictive maintenance, and business process automation. Yet, as data becomes an increasingly vital asset and AI grows more capable, a host of governance, compliance, and ethical concerns arise. Many organizations struggle to balance agility and speed of innovation with accountability and fairness. We wrote “Decoding Data Governance in the Era of AI” to address these challenges. Our aim is to equip professionals ranging from executives and managers to data scientists and policy-makers with insights and frameworks for steering data and AI through a responsible, risk-aware, and outcome-driven lens. This book offers a comprehensive perspective, connecting overarching strategies with practical implementation. By combining theoretical concepts, practical case studies, and actionable guidelines, we provide a roadmap that can be applied and adapted to various industries and geographic contexts. We believe that data governance is not merely about control or compliance but about unleashing the full potential of AI and analytics. Through collaborative governance strategies, AI can become a transformative force for innovation and efficiency, while still upholding ethical standards and preserving public trust.

Decoding Generative AI


Decoding Generative AI

Author: Farabi Shayor

language: en

Publisher: IntelX Publishing

Release Date: 2024-04-16


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The emergence of Generative AI has marked a significant turning point, heralding a new age of innovation and intellectual exploration. Much like a compelling narrative, this advancement in artificial intelligence has captivated the global community and ushered in an unprecedented surge of innovation. For many years, the subtle hum of AI has been interconnected into the fabric of our society. Devices such as Echo (Alexa) and Google Home, once considered avant-garde, are now seamlessly integrated into our homes and vehicles, becoming essential navigators in our daily journeys. However, this new phase of AI evolution is distinct. Capable of enhanced ability, these new generative AI systems could easily discern the intuitive needs of their end-users. With a mere command or a simple image, generative AI systems can draft comprehensive reports, write legal documents, or produce intricate visual masterpieces. Their proficiency can also be extended to routine and mundane tasks, smoothly managing administrative duties, writing correspondences, and providing invaluable support in professional settings. Although these foundation models require a vast amount of training data and billions of parameters to be effective, the outcomes are equally remarkable. Technology companies and investors, recognising the potential, embarked on an investment spree; steering a new era for the development of specialised models such as Microsoft CoPilot, Midjourney, ChatGPT, and so on. As these technology companies continue to improve their language models, each version seems to be more refined than its predecessor. Foremost among these are the Large Language Models (LLMs), emblematic of this AI renaissance. Now, with voice-activated capabilities, generative AIs have become capable of much more in the relatively short span of their existence. With the integration of voice-activated features, combined with their capabilities to speak like a human being, their potential continues to grow exponentially. They aren’t labelled as ‘chatbots’ anymore – these AI systems signify a technological paradigm shift, reshaping humanity’s understanding of technology, automation, and creative expression. However, with such shift comes the imperative need for governance and control. The unchecked expansion of AI poses unmitigated challenges. In reality, these advanced AIs have the potential to be transformative and destructive parallelly. Thus, it is necessary to establish guidelines and oversight to ensure the ethical deployment of such systems which this book focuses on. As society stands at this transformative crossroads, parallels are being drawn to the imaginative world of fiction. The concept of ‘Jarvis’ AI from the fictitious world appears provocatively close to becoming a reality. The epoch of generative AI has truly dawned, promising a future where technological prowess and human aspiration unite.

Decoding AI: Separating Fact from Fiction in Artificial Intelligence Capabilities


Decoding AI: Separating Fact from Fiction in Artificial Intelligence Capabilities

Author: Royal Salas

language: en

Publisher: Lena Whitmore

Release Date: 2025-04-28


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Unlock the mysteries of Artificial Intelligence (AI) with "Decoding AI: Separating Fact from Fiction in Artificial Intelligence Capabilities." This comprehensive guide empowers you to navigate the complexities of AI, demystifying its capabilities and limitations. The book unravels the core concepts of AI, from machine learning to deep learning, making it accessible to anyone seeking a deeper understanding of this transformative technology. It debunks common misconceptions and exposes the hype surrounding AI, providing a balanced perspective on its potential impact. Delving into real-world applications, "Decoding AI" explores how AI is shaping industries such as healthcare, finance, and manufacturing. It examines the ethical implications of AI, addressing concerns about job displacement and bias. Through thought-provoking discussions and expert insights, the book empowers readers to make informed decisions about the role of AI in their lives and society.