Work Automation

From mechanical looms to combustion engines to early computers, new technologies have always provoked panic about workers being replaced by machines. In the past, such fears have been misplaced, and many economists maintain that they remain so today. Yet in A World Without Work, Daniel Susskind shows why this time really is different. Advances in artificial intelligence mean that all kinds of jobs are increasingly at risk.

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.

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.

This short, accessible book seeks to explore the future of work through the views and opinions of a range of expertise, encompassing economic, historical, technological, ethical, and anthropological aspects of the debate.

Artificial intelligence is driving workforce disruption on a scale not seen since the Industrial Revolution. Automation was once associated with mass layoffs in heavy industry like auto and steel, but computers are getting smarter and are beginning to replace traditionally 'white collar' roles like law, consulting, banking and finance. Yet some curious findings are emerging from the world's leading research labs.

If you’re a first-time robot user, how can you get started? How do you get from your initial idea to a productive, working robot? And if you’ve already got a few robotic deployments under your belt, how can you scale up your robotics efforts throughout your factory - or across multiple factories? The answers can be found in Lean Robotics: A methodology for simplifying robotic cell deployments. Lean robotics is a systematic way to complete the robotic cell deployment cycle, from design to integration and operation.

The rapid growth of technology and automation has changed the way we seek our work and find fulfillment - money, meaning, and freedom. Those who don't adapt are being trapped in the downward spiral of career stagnation, working harder and earning less, or losing their jobs altogether.

As we enter the fourth great leap forward in technology with robots and AI, we face the first services revolution. The power balance will again shift massively to companies as new technologies drive productivity increases in the service industry, much as the last three industrial revolutions transformed manufacturing. What lessons can we learn from the past three industrial revolutions and the current state of the labor market?

To understand machine learning, you need to understand what it means and how it affects you. Machine learning is a method the utilizes data analysis to provide an automatic system of analysis for model building that involves analytics. This is a specific branch of artificial intelligence based solely on ideas that say that through a system, you can begin to learn the data that is needed for pattern identification and decision-making that will include minimal amounts of human interaction and intervention.