Название: A.I. and Remote Working: A Paradigm Shift in Employment, 2nd EditionАвтор: Tony Miller
Издательство: Business Expert Press
Год: 2022
Страниц: 161
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB
The world of work is undergoing the most significant change since the Industrial revolution. Cognitive A.I. is driving world change faster than at any time in history. There are massive advantages for employers who act and act quickly.
Organizations have discovered that they employ too many people, and the realization – many can be more productive working remotely. Productivity increases, reduction in office space and management are all being actioned through home working. A significant study on Homeworkers indicates that worldwide, 1 in 5 will be working from home. Already many Global companies have announced this year plans to reduce office space by 40%. Productivity results that have been realized from remote working have exceeded expectations, which will accelerate.
This innovative book will guide you through A.I., how it will affect employment and existing processes, and what the employer and employee can expect in the new and rapidly changing world of work.
AI has come to the fore because of three significant factors:
1. The first is what we refer to as Big Data. We now can manipulate vast quantities of stored data and with these data can produce predictive outcomes. What’s been in the press often is, how our digital footprint is now being used. From the moment you ever switched on a computer, mobile phone, or tablet or used a credit card, data have been recorded, stored, shuffled, packaged, and sold by companies such as Axiom. Big Data is now available to all.
2. The next is affordable high-powered computing. Processing speeds and storage have increased, and the prices of computing have dramatically dropped. We now have quantum computers, some of which allow free access.
3. The final is the emergence of deep learning systems. These are systems that start to learn by themselves using cognitive learning—no need for old-style programming.
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