13. March 2017
Source: The Wall Street Journal
Artificial intelligence is changing the way managers do their job—from who gets hired to how they’re evaluated to who gets promoted
The growing use of AI in the workplace raises many questions. Among them: Is it too intrusive?
Move over, managers, there’s a new boss in the office: artificial intelligence.
The same technology that enables a navigation app to find the most efficient route to your destination or lets an online store recommend products based on past purchases is on the verge of transforming the office—promising to remake how we look for job candidates, get the most out of workers and keep our best workers on the job. Read the rest of this entry »
3. August 2016
Source: Technology Review
Chatbots are being prepped to take over many administrative tasks.
The next time you’re hired, you might find yourself getting information about payroll, vacations, and expenses by talking to a chatbot instead of consulting a handbook for new employees or talking to someone in HR.
A startup called Talla, based in Boston, is working on chatbots designed to help new workers get up to speed and be more productive. The company is using advanced machine learning and natural language processing techniques in an effort to create software that is smarter than the average bot. Read the rest of this entry »
30. June 2016
Bruno Michel is a scientist at IBM Research – Zurich.
JUN 30, 2016, Project Syndicate
ZURICH – Ever since the American computer scientist John McCarthy coined the term “Artificial Intelligence” in 1955, the public has imagined a future of sentient computers and robots that think and act like humans. But while such a future may indeed arrive, it remains, for the moment, a distant prospect.
And yet the foreseeable frontier of computing is no less exciting. We have entered what we at IBM call the Cognitive Era. Breakthroughs in computing are enhancing our ability to make sense of large bodies of data, providing guidance in some of the world’s most important decisions, and potentially revolutionizing entire industries.
The term “cognitive computing” refers to systems that, rather than being explicitly programmed, are built to learn from their experiences. By extracting useful information from unstructured data, these systems accelerate the information age, helping their users with a broad range of tasks, from identifying unique market opportunities to discovering new treatments for diseases to crafting creative solutions for cities, companies, and communities. Read the rest of this entry »
26. June 2016
Source: The Economist
Glimpses of an AI-enabled future
THE ORIGINAL MACHINERY question, which had seemed so vital and urgent, eventually resolved itself. Despite the fears expressed by David Ricardo, among others, that “substitution of machinery for human labour…may render the population redundant”, the overall effect of mechanisation turned out to be job creation on an unprecedented scale. Machines allowed individual workers to produce more, reducing the price of many goods, increasing demand and generating a need for more workers. Entirely new jobs were created to oversee the machines. As companies got bigger, they required managers, accountants and other support staff. And whole new and hitherto unimagined industries sprang up with the arrival of the railways, telegraphy and electrification.
To be sure, all this took time. Industrialisation caused pervasive labour-market upheaval as some jobs vanished, others changed beyond recognition and totally new ones emerged. Conditions in factories were grim, and it took several decades before economic growth was reflected in significant wage gains for workers—a delay known as “Engels’ pause”.
Worries about unemployment gave way to a much wider argument about employment conditions, fuelling the rise of socialist and communist ideas and creating the modern labour movement. By the end of the 19th century the machinery question had faded away, because the answer was so obvious. In 1896 Arthur Hadley, an American economist, articulated the view of the time when he observed that rather than destroying jobs, mechanisation had brought about “a conspicuous increase of employment in those lines where improvements in machinery have been greatest”. Read the rest of this entry »
9. November 2015
Source: The Guardian
A new report suggests that the marriage of AI and robotics could replace so many jobs that the era of mass employment could come to an end
If you wanted relief from stories about tyre factories and steel plants closing, you could try relaxing with a new 300-page report from Bank of America Merrill Lynch which looks at the likely effects of a robot revolution.
But you might not end up reassured. Though it promises robot carers for an ageing population, it also forecasts huge numbers of jobs being wiped out: up to 35% of all workers in the UK and 47% of those in the US, including white-collar jobs, seeing their livelihoods taken away by machines. Read the rest of this entry »
7. October 2015
Source: The Wall Street Journal
IBM has formed a new business unit to advise companies on using its Watson artificial-intelligence software
IBM CEO Virginia Rometty
ORLANDO, Fla.—The rise of cognitive technology, or machines that can approximate the way people think, will lead to big changes in how people work and in the economy itself, International Business Machines Corp. CEO Virginia Rometty said Tuesday.
“This is not about replacing people. It is about augmenting what man does…this helps us do things we couldn’t do,” Ms. Rometty said Tuesday at the Gartner Symposium, a gathering of CIOs and business technology professionals.
IBM made news today with the announcement of a new 2,000-person consulting unit, the Cognitive Business Solutions Group, that will help businesses make use of Watson , a decision-support platform the company hopes to apply to a range of industries such as health care. The thesis is that there’s too much information for even a well-educated professional in health or law or just about any area to master, and the artificial intelligence and other algorithms at the heart of Watson can provide answers far more quickly than can the human mind. Read the rest of this entry »