Ergebnis für "The Time Machine" in Computer & Technologie

In The Second Machine Age MIT's Erik Brynjolfsson and Andrew McAfee—two thinkers at the forefront of their field—reveal the forces driving the reinvention of our lives and our economy. As the full impact of digital technologies is felt, we will realize immense bounty in the form of dazzling personal technology, advanced infrastructure, and near-boundless access to the cultural items that enrich our lives. Amid this bounty will also be wrenching change. Recent economic indicators reflect this shift: fewer people are working, and wages are falling even as productivity and profits soar.

This 50th anniversary edition of Men, Machines, and Modern Times, though ultimately concerned with a positive alternative to an Orwellian 1984, offers an entertaining series of historical accounts taken from the 19th century to highlight a main theme: the nature of technological change, the fission brought about in society by such change, and society's reaction to that change.

In today's fast-paced and ever-changing business landscape, the ability to effectively manage projects has become a crucial skill for professionals across various industries. Whether you're leading a team, overseeing complex initiatives, or striving to deliver exceptional results, understanding and applying the principles of project management can make all the difference between success and failure.

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.

There is a generational transformation in the workforce. But there is good news. Artificial intelligence and machine learning can help improve work processes, thus improving work experience and creating an environment that retains skilled workers.

Flipping TVs is a business model that is often overlooked, but those who are getting involved and know what to look out for can make impressive additional incomes–with very little effort.