The solid line in the charts represents the net effect of AI, with the bars showing the displacement and income effects.Graphic via PricewaterhouseCoopers It's impossible to say precisely how artificial intelligence will disrupt the job market, so researchers at PwC have taken a bird's-eye view and pointed to the results of sweeping economic changes. Their prediction, in a new report out Tuesday, is that it will all balance out in the end. More automation in trucks, factories and elsewhere could cost around 7 million existing jobs in the U.K. by 2037. But the rise in robots and machine-learning software will make the country more productive over the next two decades, growing at a 2% annual clip, to put nearly the same number of jobs back in the system: 7.2 million, PwC estimates. To be clear, those new jobs won't involve building robots or coding AI-powered software, which will make up only around 5% of employment, says John Hawksworth, PwC's chief economist.

Commercially-applied AI has expanded in recent years, driven by a combination of computing power, the availability of huge datasets and advances in machine learning (which includes deep learning). While often used for predictive analytics, as well as image and speech classification, machine learning can be combined with elements of'traditional' AI such as natural language processing, strategic planning and logical reasoning to deliver powerful autonomous agents. So how prevalent is AI? Outside of large tech companies that have been utilising AI in service delivery for a number of years, much of the innovation is still in its infancy and is largely confined to the lab in the form of proof of concepts or R&D. The focus for business now has to be on creating an environment which fosters successful transition into real world value delivery.

Want to take your business to the next level by utilizing technology and win in the professional services industry? This digital transformation guide will help get you there. For many businesses that have been running a tried and tested method of operation, switching it up might be the last thing on their minds. After all, if it isn't broken don't fix it right? You couldn't be further from the truth. In the ever-changing world of technology, what is relevant right now could be obsolete by the time you wake up tomorrow. For this reason you need to keep your business on its toes, and be ready to face and embrace whatever technological changes and challenges come your way. Now before we jump into specific platforms for digital transformation, and put the proverbial "cart before the horse", it's crucial for us to dig deep into digital transformation and how it is impacting your business.

The research found that while AI could displace roughly seven million jobs in the country, it could also create 7.2 million roles, resulting in a modest net boost of around 200,000 jobs. It has also estimated that about 20 percent of jobs would be automated over the next 20 years and no sector would be unaffected. Technologies such as robotics, drones and driverless vehicles would replace human workers in some areas, but also create many additional jobs as productivity and real incomes rise and new and better products are developed. In the health and social work sector the number of people employed could rise by almost one million, while jobs in manufacturing could fall by roughly 25 percent, a net loss of almost 700,000 roles. "Major new technologies, from steam engines to computers, displace some existing jobs but also generate large productivity gains," PwC's Chief Economist John Hawksworth said in a press release.

LONDON (Reuters) - Artificial intelligence (AI) will become the primary way banks interact with their customers within the next three years, according to three quarters of bankers surveyed by consultancy Accenture (ACN.N) in a new report. Four in five bankers believe AI will "revolutionise" the way in which banks gather information as well as how they interact with their clients, said the Accenture Banking Technology Vision 2017 report, which surveyed more than 600 top bankers and also consulted tech industry experts and academics. Artificial intelligence -- the technology behind driverless cars, drones and voice-recognition software -- is seen by the financial world as a key technology which, along with other "fintech" innovations such as blockchain, will change the face of banking in the coming years. More than three quarters of respondents to the survey believed that AI would enable more simple user interfaces, which would help banks create a more human-like customer experience. "The big paradox here is that people think technology will lead to banking becoming more and more automated and less and less personalized, but what we've seen coming through here is the view that technology will actually help banking become a lot more personalized," said Alan McIntyre, head of the Accenture's banking practice and co-author of the report. "(It) will give people the impression that the bank knows them a lot better, and in many ways it will take banking back to the feeling that people had when there were more human interactions."

It's infinite potential waiting to be tapped. With cognitive capabilities--like artificial intelligence, image recognition, or deep learning--data can help you see in all directions and get to smarter, surer insights swiftly.

When Samantha Bowling first started serving on the Association of International Certified Professional Accountants' council, she noticed a frequent conversation topic: artificial intelligence. In a 2018 Burrus Research-Maryland Association of CPAs survey of more than 1,000 CPAs, respondents ranked AI, machine learning, and cognitive computing as the top technology trends that will influence the accounting and finance world over the next three years. AI is a collective term for computers that can simulate human behaviors, like decision making and learning. As a council member, Bowling saw that Big Four accounting firms were funneling cash into the technology, threatening to crush her 15-person CPA firm's audit practice. "I decided I was going to take out my Google machine last fall and say, 'there's got to be a solution for AI for small firms,'" Bowling told Bloomberg Tax in an interview.

Many workers in industry sectors such as technology, manufacturing and health have been concerned about how artificial intelligence and robotics may directly affect their employment in the near future. While we've heard numerous stories over the years about how AI will streamline job processes, and robots will even be able to make humans redundant in some industries, there appears to be a battle between furthering this technology, and making sure the UK's workforce isn't left out in the cold. A new report from PricewaterhouseCoopers should put both parties at ease as we move into the age of AI. PwC has found that AI is set to create 7.2 million new jobs in the UK across healthcare, science and education sectors by the year 2037. It predicts that 7 million workers would be displaced by advancements in this technology.

Artificial intelligence (AI) and related technologies will generate as many jobs in the U.K. as they displace over the next 20 years, according to analysis published Tuesday by audit firm PwC. The research states that while AI could displace roughly 7 million jobs in the country, it could also create 7.2 million jobs, resulting in a modest net boost of around 200,000 jobs. The impact of AI on individual sectors is set to vary, however. In the health and social work sector, PwC said that the number of people employed could rise by almost 1 million, while jobs in manufacturing could fall by roughly 25 percent, a net loss of almost 700,000 roles. "Major new technologies, from steam engines to computers, displace some existing jobs but also generate large productivity gains," John Hawksworth, PwC's chief economist, said in a press release.

Companies that combine in-house innovation with investments in artificial intelligence (AI) and collaboration with outside partners saw their enterprise value grow an average of 4.2% since 2013, compared to 2.3% for those that did not invest in such things, according to new research from Accenture. Accenture defines enterprise value as a measure based on market capitalization, debt and cash positions. Overall, the research found that just 17% of the 200 companies Accenture evaluated -- the Fortune 100 and the Intelligent 100 -- are high-performing "collaborative inventor[s]" while more than half of the companies were seen as "observers." Accenture Research estimates companies that move from "observer" status to "collaborative inventor" could see their firm's enterprise value increase by an average of 90%. Accenture found companies must converge and integrate technology, data and people to achieve high success.