Computer Science Leadership

From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.

Becoming an effective IT manager presents a host of challenges - from anticipating emerging technology to managing relationships with vendors, employees, and other managers. A good IT manager must also be a strong business leader. This book invites you to accompany new CIO Jim Barton to better understand the role of IT in your organization. You'll see Jim struggle through a challenging first year, handling (and fumbling) situations that, although fictional, are based on true events.

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. The book addresses real-life problems faced by practitioners on a daily basis and explains scientifically sound solutions using math, supported by code and examples.

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.

The difference between growing your business and going out of business is your ability to think strategically. The problem is, most leaders are stuck in the operational weeds, struggling to find the time to make better strategic decisions. This challenge is only heightened by the rise of AI. While you know AI is the future, current demands leave you with no time to explore its benefits. Meanwhile, your competition is gaining an edge by integrating AI. The time to act is now.

AI for Marketing and Product Innovation offers creatives and marketing professionals a non-tech guide to artificial intelligence (AI) and machine learning (ML) - twin technologies that stand poised to revolutionize the way we sell. This book helps you lean into the curve and take advantage of AI's unparalleled and rapidly expanding power. More than a simple primer on the technology, this book goes beyond the "what" to reveal the "how".

List the hottest buzzwords in business today and "analytics" is bound to come out near the top. But to most people, analytics implies complex tools and technical experts manipulating massive amounts and varieties of information (i.e.,"Big Data"). But complex Big Data analytics isn't the only game in town. And many people don't realize that a business doesn't need data scientists and complex tools to derive useful information and valuable benefits from any amount of raw data.

Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.

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).

In 1962, Stephanie 'Steve' Shirley created a software company when the concept of software barely existed. Freelance Programmers employed women to work on complex projects such as Concorde's black box recorder from the comfort of their own homes. Shirley empowered a generation of women in technology, giving them unheard of freedom to choose their own hours and manage their own workloads. The business thrived, and Shirley gradually transferred ownership to her staff, creating 70 millionaires in the process.

A candid, colorful, and comprehensive oral history that reveals the secrets of Silicon Valley - from the origins of Apple and Atari to the present day clashes of Google and Facebook, and all the start-ups and disruptions that happened along the way. Drawing on over 200 in-depth interviews, Valley of Genius takes listeners from the dawn of the personal computer and the Internet, through the heyday of the web, up to the very moment when our current technological reality was invented.

In this book, you'll learn how: data science, driven by artificial intelligence and machine learning, is yielding unprecedented business insights; blockchain has the potential to restructure the economy; drones and driverless vehicles are becoming essential tools; 3-D printing is making new business models possible; augmented reality is transforming retail and manufacturing; smart speakers are redefining the rules of marketing; and humans and machines are working together to reach new levels of productivity.

Your organization has made the decision to adopt automation and artificial intelligence technologies. Now, you face difficult and stubborn questions about how to implement that decision: How, when, and where should we apply automation in our organization? Is it a stark choice between humans versus machines? How do we stay on top of these technological trends as work and automation continue to evolve? Work and human capital experts Ravin Jesuthasan and John Boudreau present leaders with a new set of tools to answer these daunting questions.

The business-IT wall must come down. Mark brings his unique perspective and experience to business leaders looking to lead their company into the digital age by harnessing the expertise and innovation that is already under their roof: IT. For business leaders looking to unlock their enterprise's digital transformation, War and Peace and IT provides clear context and strategies. Schwartz demystifies the role IT plays in the modern enterprise, allowing business leaders to create new strategies for the new digital battleground.

AI is coming fast and will affect every part of a business, including the role of the leader. And up until now, leaders have largely ceded their role in the transformation-pushing determination of strategy out to tech teams and leaving investment decisions with groups that don't have a full view of the organization. Just when responsible leadership is more imperative than ever, leaders are not stepping up to understand and execute in the new world of human-machine collaboration. A generation of AI transformation failures awaits if leaders don't connect their use of AI to their strategies.

We are in the midst of an unprecedented degree of technology-driven change at the same time that society faces challenges more complex than our organizations and we as individuals have been prepared to handle. Autonomous Transformation: Creating a More Human Future in the Era of Artificial Intelligence is for leaders who want to create a better future within this context of change and supplies a balance of historical and theoretical context with practical frameworks for beginning to create a more human future today.

From making faster, better decisions to automating rote work to enabling robots to respond to emotions, AI and machine learning are already reshaping business and society. What should you and your company be doing today to ensure that you're poised for success and keeping up with your competitors in the age of AI? Artificial Intelligence: The Insights You Need from Harvard Business Review brings you today's most essential thinking on AI and explains how to launch the right initiatives at your company to capitalize on the opportunity of the machine intelligence revolution.

Patrick Dixon looks at how the future will be Fast, Urban, Tribal, Universal, Radical and Ethical - a future of boom and bust and great economic change as the emerging markets grow up; a future of great advances in medicine and also greater threats from viral epidemics; a future of political shocks and greater conflicts; a future in which people will strive for more privacy and businesses will change the way they relate to their staff and their customers.

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.

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.