Data Strategy And Ai Value Creation For Data Leaders By Data Leaders

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Data Strategy And Ai Value Creation For Data Leaders By Data Leaders

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Author : Wai Fong Boh
language : en
Publisher: World Scientific
Release Date : 2025-04-02

Data Strategy And Ai Value Creation For Data Leaders By Data Leaders written by Wai Fong Boh and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-02 with Computers categories.

This book is a collection of chapters explaining specific important topic for data leaders across various industries. Written by data leaders for data leaders, each chapter explains a key issue of our time, its impact, its challenges and how it had/could be solved.Together, the chapters address contemporary areas of interest and concern through the sharing of experiences, what-to-do, and what-to-watch-out-for.

Data Strategy And Ai Value Creation Hb

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Author : Chee Hua (Neumann) Chew T Wai Fong Boh
language : en
Publisher: World Scientific Publishing Company
Release Date : 2025-04-17

Data Strategy And Ai Value Creation Hb written by Chee Hua (Neumann) Chew T Wai Fong Boh and has been published by World Scientific Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-17 with Business & Economics categories.

This book is a collection of chapters explaining specific important topic for data leaders across various industries. Written by data leaders for data leaders, each chapter explains a key issue of our time, its impact, its challenges and how it had/could be solved.Together, the chapters address contemporary areas of interest and concern through the sharing of experiences, what-to-do, and what-to-watch-out-for.

Data Strategy

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Author : Bernard Marr
language : en
Publisher:
Release Date : 2017

Data Strategy written by Bernard Marr and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Business & Economics categories.

Explains how to profit from an effective data strategy in a world of Big Data, Analytics and the Internet of Things

Using Strategy Analytics For Business Value Creation And Competitive Advantage

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Author : Kautish, Sandeep Kumar
language : en
Publisher: IGI Global
Release Date : 2024-07-26

Using Strategy Analytics For Business Value Creation And Competitive Advantage written by Kautish, Sandeep Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-26 with Business & Economics categories.

In the field of strategic management and business intelligence, a formidable challenge is present—conventional decision-making processes, heavily reliant on internal and external reports, struggle to meet the demands of this data-driven era. As organizations grapple with the increasing influx of data, the imperative for a strategic shift becomes undeniably apparent. Using Strategy Analytics for Business Value Creation and Competitive Advantage helps to guide leaders in extracting value, structuring complex problems, and crafting robust business strategies. Scholars and industry experts alike will find within the pages of this comprehensive guide a roadmap to navigate the intersection of organizational strategy and analytics, ultimately unlocking the key to business brilliance. Using Strategy Analytics for Business Value Creation and Competitive Advantage stands as a testament to the commitment to addressing the prevailing challenges in strategic decision-making. Tailored for researchers, academicians, industry experts, and scholars, the book delves into the intricacies of strategy analytics, offering transformative insights for those seeking a competitive edge in the evolving business landscape. Capturing the essence of this exploration, the transformative potential of strategy analytics is encapsulated in this valuable resource.

Eu Policy And Legal Framework For Artificial Intelligence Robotics And Related Technologies The Ai Act

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Author : Nikos Th. Nikolinakos
language : en
Publisher: Springer Nature
Release Date : 2023-07-06

Eu Policy And Legal Framework For Artificial Intelligence Robotics And Related Technologies The Ai Act written by Nikos Th. Nikolinakos and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-06 with Law categories.

Artificial Intelligence (AI) can benefit our society and economy, but also brings with it new challenges and raises legal and ethical questions. According to the author of this comprehensive analysis, it is imperative to ensure that AI is developed and applied in an appropriate legal and regulatory framework that promotes innovation and investment and, at the same time, addresses the risks associated with certain uses of AI-related technologies. Essential to understanding the relationship between policy and law, this book traces the evolution of EU policy on artificial intelligence and robotics, focusing in particular on the EU’s ethical framework for AI, which defines trust as a prerequisite for ensuring a human-centric approach. The main part of the book provides a thorough and systematic analysis of the Commission’s 2021 proposed AI Act, which establishes harmonised rules for the development, placement on the market and use of AI systems in the EU. The author painstakingly compares the Commission’s proposed AI Act with the numerous “compromise” proposals of the Council of the European Union, leading to the final version of the Council’s AI Act (general approach) and its formal adoption on 6 December 2022. The author also examines with extraordinary detail the amendments proposed by the relevant committees and political groups of the European Parliament, revealing the position the Parliament is likely to adopt in the forthcoming negotiations with the Commission and the Council on the text of the AI Act. Numerous legislative and policy documents are presented in detail, while the analysis also considers the comments made by all interested parties (e.g. the European Commission, Council of the European Union, European Parliament, governmental organisations, national competent authorities, and stakeholders/actors with different/conflicting interests, such as corporations, business and consumer associations, civil society and other non-profit organisations). In the course of its in-depth analysis, this book will provide readers with crucial insight into the reasons behind the European Institutions’ different approaches and the often contradictory interests of stakeholders. Because the policy arguments are carefully balanced and drafted with scrupulous care, this volume will establish itself as a reference resource to be consulted for years to come.

From Data To Profit

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Author : Vin Vashishta
language : en
Publisher: John Wiley & Sons
Release Date : 2023-05-31

From Data To Profit written by Vin Vashishta and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-31 with Computers categories.

Transform your company’s AI and data frameworks to unlock the true power of disruptive new tech In From Data to Profit: How Businesses Leverage Data to Grow Their Top and Bottom Lines, accomplished entrepreneur and AI strategist Vineet Vashishta delivers an engaging and insightful new take on making the most of data, artificial intelligence, and technology at your company. You’ll learn to change the culture, strategy, structure, and operational framework of your company to take full advantage of disruptive advances in tech. The author explores fascinating work being undertaken by firms in the real world, as well as high-value use cases and innovative projects and products made possible by realigning organizational frameworks using the capabilities of new technologies. He explains how to get everyone in your company on the same page, following a single framework, in a way that ensures individual departments get what they want and need. You’ll learn to outline a comprehensive technical vision and purpose that respects departmental autonomy over their core competencies while guaranteeing that they all get the tools they need to make technology their partner. You’ll also discover why firms that have adopted a holistic strategy toward AI and data have enjoyed results far beyond those experienced by those that have taken a piecemeal approach. From Data to Profit demonstrates the proper role of the CEO during an intensive transformation: one of maintaining culture during the change. It offers advice for organizational change, including the 3-Phase Data Organizational Development Framework, the Core - Rim 3 Main People Groups Framework, and the way to implement new roles for a Chief Digital Officer and Technical Strategist. Perfect for data professionals, data organizational leaders, and data product and process owners, From Data to Profit will also benefit executives, managers, and other business leaders seeking hands-on advice for digital transformation at their firms.

Hacking Healthcare

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Author : Tom Lawry
language : en
Publisher: CRC Press
Release Date : 2022-07-20

Hacking Healthcare written by Tom Lawry and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-20 with Business & Economics categories.

In this original work, Tom Lawry takes readers on a journey of understanding what we learned from fighting a global pandemic and how to apply these learnings to solve healthcare's other big challenges. This book is about empowering clinicians and consumers alike to take control of what is important to them by harnessing the power of AI and the Intelligent Health Revolution to create a sustainable system that focuses on keeping all citizens healthy while caring for them when they are not.

The Secrets Of Ai Value Creation

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Author : Michael Proksch
language : en
Publisher: John Wiley & Sons
Release Date : 2024-02-27

The Secrets Of Ai Value Creation written by Michael Proksch and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-27 with Computers categories.

Unlock unprecedented levels of value at your firm by implementing artificial intelligence In The Secrets of AI Value Creation: Practical Guide to Business Value Creation with Artificial Intelligence from Strategy to Execution, a team of renowned artificial intelligence leaders and experts delivers an insightful blueprint for unlocking the value of AI in your company. This book presents a comprehensive framework that can be applied to your organisation, exploring the value drivers and challenges you might face throughout your AI journey. You will uncover effective strategies and tactics utilised by successful artificial intelligence (AI) achievers to propel business growth. In the book, you’ll explore critical value drivers and key capabilities that will determine the success or failure of your company’s AI initiatives. The authors examine the subject from multiple perspectives, including business, technology, data, algorithmics, and psychology. Organized into four parts and fourteen insightful chapters, the book includes: Concrete examples and real-world case studies illustrating the practical impact of the ideas discussed within Best practices used and common challenges encountered when first incorporating AI into your company’s operations A comprehensive framework you can use to navigate the complexities of AI implementation and value creation An indispensable blueprint for artificial intelligence implementation at your organisation, The Secrets of AI Value Creation is a can’t-miss resource for managers, executives, directors, entrepreneurs, founders, data analysts, and business- and tech-side professionals looking for ways to unlock new forms of value in their company. The authors, who are industry leaders, assemble the puzzle pieces into a comprehensive framework for AI value creation: Michael Proksch is an expert on the subject of AI strategy and value creation. He worked with various Fortune 2000 organisations and focuses on optimising business operations building customised AI solutions, and driving organisational adoption of AI through the creation of value and trust. Nisha Paliwal is a senior technology executive. She is known for her expertise in various technology services, focusing on the importance of bringing AI technology, computing resources, data, and talent together in a synchronous and organic way. Wilhelm Bielert is a seasoned senior executive with an extensive of experience in digital transformation, program and project management, and corporate restructuring. With a proven track record, he has successfully led transformative initiatives in multinational corporations, specialising in harnessing the power of AI and other cutting-edge technologies to drive substantial value creation.

The Elements Of Big Data Value

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Author : Edward Curry
language : en
Publisher: Springer Nature
Release Date : 2021-06-30

The Elements Of Big Data Value written by Edward Curry and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-30 with Computers categories.

This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations. The book is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation for big data. The contributions are grouped into four parts: · Part I: Ecosystem Elements of Big Data Value focuses on establishing the big data value ecosystem using a holistic approach to make it attractive and valuable to all stakeholders. · Part II: Research and Innovation Elements of Big Data Value details the key technical and capability challenges to be addressed for delivering big data value. · Part III: Business, Policy, and Societal Elements of Big Data Value investigates the need to make more efficient use of big data and understanding that data is an asset that has significant potential for the economy and society. · Part IV: Emerging Elements of Big Data Value explores the critical elements to maximizing the future potential of big data value. Overall, readers are provided with insights which can support them in creating data-driven solutions, organizations, and productive data ecosystems. The material represents the results of a collective effort undertaken by the European data community as part of the Big Data Value Public-Private Partnership (PPP) between the European Commission and the Big Data Value Association (BDVA) to boost data-driven digital transformation.

Data Leadership In The Age Of Ai Building Intelligent Scalable Analytics Systems 2025

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Author : Author : 1-Rajesh Sura, Author : 2-Dr. Sudhanshu Maurya
language : en
Publisher: RAVEENA PRAKASHAN OPC PVT LTD
Release Date :

Data Leadership In The Age Of Ai Building Intelligent Scalable Analytics Systems 2025 written by Author : 1-Rajesh Sura, Author : 2-Dr. Sudhanshu Maurya and has been published by RAVEENA PRAKASHAN OPC PVT LTD this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

PREFACE In an era where data is becoming the cornerstone of innovation and business growth, the ability to leverage this resource effectively has never been more crucial. As artificial intelligence (AI) continues to evolve and influence nearly every facet of business, organizations face the challenge of not only managing vast amounts of data but also transforming that data into actionable insights that drive decision-making and strategic direction. In this context, data leadership has emerged as a critical skill for businesses, government organizations, and technology leaders alike. The role of data leaders, those who are responsible for guiding organizations through data-driven transformations—has shifted from overseeing data collection and management to fostering a culture of intelligence, scalability, and innovation through advanced analytics. This book, Data Leadership in the Age of AI: Building Intelligent, Scalable Analytics Systems, aims to explore the evolving landscape of data leadership, offering insights into how organizations can build and scale intelligent analytics systems that leverage AI to drive efficiency, innovation, and competitive advantage. The integration of AI into data analytics systems is not just about enhancing existing processes but about fundamentally changing how organizations process, analyze, and derive value from data. With AI technologies like machine learning, natural language processing, and deep learning becoming more accessible and integrated into everyday operations, organizations must learn to navigate this new terrain with a strategic approach to data leadership. Data leadership is a multifaceted discipline that goes beyond simply managing data. It involves creating a vision for how data should be utilized to generate value, building scalable architectures that can support massive volumes of data, and developing the organizational culture necessary to foster collaboration, creativity, and innovation. As companies seek to implement AI-powered analytics systems, they must confront the complexities of data governance, data privacy, ethical concerns, and technological integration. A successful data leader is one who can effectively manage these complexities, ensuring that data systems are not only robust and scalable but also ethical, secure, and aligned with organizational goals. In this book, we will delve into the principles and strategies required to build intelligent, scalable analytics systems. We will explore key topics such as data architecture, data governance, and AI-driven insights, providing practical guidance for data leaders on how to design systems that can scale with the growing demands of today’s data-rich world. We will also examine how to foster a data-driven culture within organizations, ensuring that data and AI are at the heart of decision-making processes. Furthermore, this book will highlight case studies from leading organizations that have successfully integrated AI into their data analytics frameworks, showcasing the real-world applications and benefits of these systems. Through the insights and strategies presented in this book, readers will gain a deeper understanding of the intersection of data leadership and AI technologies, learning how to harness the power of AI to build intelligent systems that not only handle data on a scale but also extract meaningful, actionable insights in real time. Whether you are a data professional, a business leader, or someone looking to better understand the future of analytics in the AI-driven world, this book offers a comprehensive guide to navigating the evolving landscape of data leadership and AI-powered analytics. As we continue to move further into the age of AI, the role of data leadership will become even more critical to the success of organizations across industries. This book serves as a resource for those ready to take the helm in building intelligent, scalable analytics systems that will help drive their organizations forward into a new era of innovation and data-driven decision-making. Authors