Artificial Intelligence Management

In Trustworthy AI, award-winning executive Beena Ammanath offers a practical approach for enterprise leaders to manage business risk in a world where AI is everywhere by understanding the qualities of trustworthy AI and the essential considerations for its ethical use within the organization and in the marketplace. The author draws from her extensive experience across different industries and sectors in data, analytics and AI, the latest research and case studies, and the pressing questions and concerns business leaders have about the ethics of AI.

Generative AI, Web3, neurotech, reusable rockets to power the space economy—new technologies like these are reshaping organizations at the hybrid office, on factory floors, and in the C-suite. What should you and your company be doing now to take advantage of the new opportunities these technologies are creating—and avoid falling victim to disruption? The Year in Tech 2024 will help you understand what the latest and most important tech innovations mean for your organization and how you can use them to compete and win in today's turbulent business environment.

If you listen to the news, robots are coming for your job. Full-time employment will soon be a thing of the past as organizations opt more to hire employees on a contract basis. With technological advances across email, video, project management, and instant messaging platforms, being tied to a desk working full time for one company is becoming obsolete. So, where does that leave you? The Human Cloud may be the most important book you hear to prepare for how work is done in the future.

In this groundbreaking audiobook, we explore the capabilities of ChatGPT, a cutting-edge AI language model, as a trusted companion on your journey to millionaire status. ChatGPT Millionaire: The Blueprint to Becoming a Millionaire Using Artificial Intelligence serves as your personal AI mentor, providing valuable insights, guidance, and strategies to navigate the complexities of wealth creation in today's digital age. Throughout the book, we uncover the core principles and actionable steps required to build a solid financial foundation.

The use of cognitive analytics/artificial intelligence (AI) systems is set to accelerate. Advanced Analytics and AI prepares business users for the era of cognitive analytics/artificial intelligence. Building on established texts and commentary, it specifically prepares you in terms of expectation, impact on personal roles, and responsibilities. It focuses on the specific impact on key industries (retail, financial services, utilities and media) and also on key professions (such as accounting, operational management, supply chain and risk management).

Vous voulez comprendre l'impact de l'intelligence artificielle (IA) sur vos compétences, votre métier, votre management ? Le livre audio "Ce sera l'IA ou/et moi" de Cécile Dejoux est votre meilleur allié ! Vous êtes salarié, free-lance, entrepreneur, manager, etc., vous pensez que vous pouvez être acteur des changements liés à l'intelligence artificielle, vous ne voulez plus les subir, vous pensez que même les choses compliquées peuvent s'expliquer simplement, ce livre audio est fait pour vous !

Renowned AI strategist and pioneer Mark Minevich delivers an exciting and practical discussion of how to implement groundbreaking artificial intelligence technologies at every level of your organization. You'll learn to create sustainable, effective competitive advantage by introducing previously unheard-of levels of adaptability, resilience, and innovation into your company.

Businesses are increasingly leaving behind traditional meetings in favor of virtual ones, transitioning from surveys and studies to analytics and algorithms. But here is a startling and often unacknowledged truth: the promise of digital transformation can only be realized when we find a way to balance it with the promise of people. In the end, it’s people and dreams that matter, and companies must never forget the soul that drives them. Restoring the Soul of Business provides practical tools and techniques that every organization can and should implement.

Comprehensive guide that explores how Artificial Intelligence (AI) can be leveraged to generate wealth. It begins by explaining the fundamentals of AI, including its types and applications across industries. The book then delves into various opportunities for making money with AI, including entrepreneurship, data monetization, investing, freelancing, and consulting. It provides insights into identifying market gaps, building AI-powered products, and developing successful business models.

This book breaks through both the hype and the doom-and-gloom surrounding automation and the deployment of artificial intelligence-enabled—“smart”—systems at work. Management and technology experts Thomas Davenport and Steven Miller show that, contrary to widespread predictions, prescriptions, and denunciations, AI is not primarily a job destroyer. Rather, AI changes the way we work—by taking over some tasks but not entire jobs, freeing people to do other, more important and more challenging work.

How can leaders adapt to the rapid change of technology's impact on business? How can AI be leveraged for more intelligent decision making? Can our choices be simultaneously good for business and the world? This book provides leaders with the first steps to answer these important questions. For over thirty years, technology has become more interwoven with both our professional and personal lives. In the future, the integration of tech, business, and life will become even more seamless.

An innovative trend combining technology with economics is unraveling behemoth industries - including corporations, banks, farms, media conglomerates, energy systems, governments, and schools - that have long dominated business and society. Size and scale have become a liability. A new generation of upstarts is using artificial intelligence to automate tasks that once required expensive investment, and "renting" technology platforms to build businesses for hyper-focused markets, enabling them to grow big without the bloat of giant organizations.

In Building Analytics Teams, John K. Thompson, with his 30+ years of experience and expertise, illustrates the fundamental concepts of building and managing a high-performance analytics team, including what to do, who to hire, projects to undertake, and what to avoid in the journey of building an analytically sound team. The core processes in creating an effective analytics team and the importance of the business decision-making life cycle are explored to help achieve initial and sustainable success.

We are living in a new age. With developments emerging every day, Artificial Intelligence will soon surpass most human competencies and drastically transform technology's role in our day-to-day world. The solution for organizational leaders is not to become more like computers. In order for our organizations to survive as we stand at the threshold of a new era, we must tap into the qualities that make us uniquely human. Nick Chatrath interweaves an analysis of antiquated leadership modes with his newly developed strategies for more effective "threshold" leadership methods.

What To Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on Artificial Intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans it raises profound questions on the future of work and how companies compete. Drawing upon real-world cases, data, and insight, the authors provide clear strategic guidance and actionable steps to help you and your organization move ahead in a world where exponentially developing new technologies are changing how value is created.

With artificial intelligence on the rise, the way we run our organisations will change - and drastically. But what exactly will that future look like? And who will take the leading role: Machines or people? In this compelling new audiobook, leading management guru David De Cremer identifies the key areas where algorithms will collide with human skills, and assesses the likely outcomes. The author presents fascinating insights into the challenges that an automated work environment poses for organisations of the future.

What to Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on artificial intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans, it raises profound questions on the future of work and how companies compete.

Authentic Inclusion™, an idea originated by Frances West, former IBM chief accessibility officer, is defined as the institutional insight that human diversity is at the core of disruptive innovation. It calls for holistic actions across an institution to respect an individual's ability to make a difference despite being different. Frances describes how her personal and professional journey led her to this thinking and work. The book addresses the diversity issues and proposes new ways that business leaders can think about inclusion as human first.

Now, in the face of the "Great Resignation" and "botsourcing," thought leaders Sanders and Wood present a more positive and promising scenario, where an enterprise recognizes human resources as an asset class that possesses skills that cannot be replaced by automation. Enlightened business leaders will look to create synergy between technology and people, enabling the organization to maximize its capabilities by elevating the basis of decision making with closer-to-perfect information and rationality.

This book is a good guide and provides basics on AI and cybersecurity to beginners and dummies. Also, it is helpful to answer the questions of businesses, like how to implement AI and Cybersecurity in a company? How and when to link an AI? What are the available cyber securities that could be comfortable to understand and access within the scope of a business and a person? And other similar questions.