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Data and Analytics Strategy for Business by
For many organizations data is a by-product, but for the smarter ones it is the heartbeat of their business. Beginning with how to choose projects which reflect your organization's goals and how to make the business case for investing in data, this book then takes the reader through the five 'waves' of organizational data maturity.
Dialogues in Data Power by
Available open access digitally under CC-BY-NC-ND licence. This book presents emerging themes and future directions in the interdisciplinary field of critical data studies, loosely themed around the notion of shifting response-abilities in a datafied world. In each chapter an interdisciplinary group of scholars discuss a specific theme, ranging from questions around data power and the configuring of data subjects to the intersection of technology and the environment. The book is an invaluable dialogue between disciplines that introduces readers to cutting edge arguments within the field. It will be a key resource for scholars and students who require a guide to this rapidly evolving area of research.
The Algorithm by
AI is on the brink of dominating our lives, threating our privacy and human future--if we don't take action now. In The Algorithm, Emmy‑award winning Wall Street Journal and Guardian contributor Hilke Schellmann delivers a shocking and illuminating exposé on one of the most pressing civil rights issues of our time: how AI has quietly, and mostly out of sight, taken over the world of work. Schellmann takes readers on a journalistic detective story, meeting job applicants and employees who have been subjected to these technologies, playing AI-based video games that companies use for hiring, and investigating algorithms that scan our online activity to construct personality profiles-- including if we are prone to self -harm. She convinces whistleblowers to share results of faulty AI -tools, and tests algorithms that analyze job candidates' facial expressions and tools that predict from our voices if we are anxious or depressed. Schellmann finds employees whose every keystrokes were tracked and AI that analyzes group discussions or even predicts when someone may leave a company. Her reporting reveals in detail how much employers already know about us and how little we know about the technologies that are used on us. The Algorithm tells an even bigger story with Schellmann discovering faulty algorithms and systemic discrimination of women and people of color, which may have already harmed thousands of job seekers and employees. It advocates to go beyond these tools to more thoughtfully consider how we hire, promote, and treat human beings--with or without AI. As Schellmann emphasizes, we need to decide how we build algorithmic tools in any industry and what protections we need to put in place in an AI-driven world. Hilke Schellmann is an Emmy-award winning investigative reporter and journalism professor at NYU. Her work covering artificial intelligence has been published in The New York Times, The Guardian, the MIT Technology Review, and The Wall Street Journal, where she led a team investigating how AI is changing our lives. She has also reported for NPR's Planet Money podcast on fake online reviews and her investigation for VICE on HBO was a finalist for a Peabody Award. Her PBS Frontline documentary Outlawed in Pakistan premiered at the Sundance Film Festival and was honored with an Emmy award.
AI in Business and Economics by
Rapid advances in artificial intelligence (AI) technologies have generated intense interest and debate about their potential to reshape industries, labour markets and socio-economic structures. This volume presents a collection of academic papers stemming from "The Economic Perspective of Artificial Intelligence" (EPEAI) conference held at the Ruhr West University of Applied Sciences in Mülheim an der Ruhr, Germany, in March 2023. AI in Business and Economics discusses topics as varied as marketing, accounting, reporting, business narratives, forecasting, generational differences in attitudes, economic policy - all in the context of exploring the multifaceted intersection of economics and artificial intelligence. It navigates through the fog caused by the heterogeneity of diverse AI applications and methodologies by examining artificial intelligence from an economic perspective. In doing so, it becomes clear that the implementation of a broad range of AI technologies in companies has just begun. Businesses, employees, and policy makers will soon have to adapt to the fast-paced advancements in artificial intelligence, ensuring they become and remain competitive, ethical, and forward-thinking in a changing global landscape. This book will serve as a valuable resource for scholars, practitioners, and students exploring the complexities of the economic implications of AI.
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