The narratives about automation and its impact on jobs go from urgent to hopeful and everything in between. Regardless where you land, it's hard to argue against the idea that technologies like AI and robotics will change our economy and the nature of work in the coming years. A recent World Economic Forum report noted that some estimates show automation could displace 75 million jobs by 2022, while at the same time creating 133 million new roles. While these estimates predict a net positive for the number of new jobs in the coming decade, displaced workers will need to learn new skills to adapt to the changes. If employees can't be retrained quickly for jobs in the changing economy, society is likely to face some degree of turmoil.

It is often the case that, if you look a little too closely at the next big thing in the technology industry, it may start to resemble the last big thing. Or perhaps even one of the many big things that came before that. When many were congratulating Apple for inventing the tablet market with the release of the iPad in 2010, many more were pointing to the touchscreen devices manufactured over the previous two decades by the likes of Palm, FSC, and Nokia – not to mention Apple itself. When the concept of cloud computing began to go mainstream, there were plenty of onlookers who wondered whether this exciting new concept was really just a synonym for the internet, or virtualisation, or software as a service or, simply, 'someone else's computer'. Artificial intelligence – perhaps the biggest and nextest of the current next big things – is also nothing new, many would argue.

Someday you might have a significant relationship with your toaster. With a few silicon chips and the right programming, it'll use its considerable downtime to compose original musical interludes to play while your English muffin is browning. It'll text you Haikus designed to make you smile: This change won't happen by itself. Students are working hard to master the art and science of designing machines that learn, make decisions, create, think. Starting this fall, the Illinois Institute of Technology -- in recent years branding itself as the more brawny "Illinois Tech" -- became the only college in the Midwest to offer an undergraduate major in artificial intelligence, creating the systems that will guide everything from robots to trucks to medical care.

After years of soggy inflation and a long reign by Japan's tight-fisted shoppers, businesses are adopting new methods to lift prices, from artificial intelligence to simple packaging tweaks. Despite many rounds of stimulus, policymakers have failed to jolt households out of the deflationary mindset that followed the 1990s property crash, which meant businesses refused to raise prices for fear of losing customers. Demand-based dynamic pricing, however, has allowed some Japanese retailers to discretely bump up prices without triggering the kind of customer backlash seen in more blatant attempts at repricing in the past. The J. League soccer team Yokohama Marinos, for example, introduced artificial intelligence last year to more closely align ticket prices with demand. "Previously, it was difficult to find the best prices between demand and value of each match," said Hiroshi Nagai, the club's general manager for fan relations. "The most fascinating thing about dynamic pricing is that it can offer more choices to customers."

BENGALURU: At least 10 new AI-based jobs are being created for every 100 positions made redundant in traditional technology, experts in the field have said. However, the new roles are not being created as quickly as the positions that are eliminated and companies are increasingly training talent to fill the gap in artificial intelligence skills. This was the key takeaway from ET's recent conversation on Technology Talent Equilibrium with Sridhar Mitta, founder of digital technology services provider NextWealth Entrepreneurs; Prakash Mallya, the head of Intel India, and Supriyo Das, vice-president, Wipro Technologies. "If 100 jobs are cut, 10 jobs are created. The people who are losing jobs have different skills, and they're going away. People are getting new jobs on different skillsets," Mitta said.

Maria Bartiromo explores the bounds of artificial intelligence usage globally. From health care to the transportation industry, FOX Business' Maria Bartiromo looks at how artificial intelligence (AI) is shaping the future of society. In February the U.S. government launched an American AI initiative, which aims to stimulate AI development. The government's investments in unclassified R&D for AI technologies is up 40 percent since 2015 and for the first time in history, President Trump's fiscal year 2019 budget requests to designate AI and unmanned autonomous systems a priority. However, some say the problem is that China spends much more on AI investment and financing. In 2017, AI spending hit $39.5 billion, with China accounting for 70 percent of the expenditures.

Today, a fresh generation of technologies, fuelled by advances in artificial intelligence based on machine learning, is opening up new opportunities to reassess the upper bounds of operational excellence across these sectors. To stay one step ahead of the pack, businesses not only need to understand machine learning complexities but be prepared to act on it and take advantage. After all, the latest machine learning solutions can determine weeks in advance if and when assets are likely to degrade or fail, distinguishing between normal and abnormal equipment and process behaviour by recognising complex data patterns and uncovering the precise signatures of degradation and failure. They can then alert operators and even prescribe solutions to avoid the impending failure, or at least mitigate the consequences. The leading software constructs are autonomous and self-learning.

As technological development advances, its accomplishments are bound to increasingly shape our society and pervade a plethora of different domains, international relations and diplomacy included. Artificial Intelligence, being at the forefront of the new technological revolution, has the capacity to profoundly impact the work of policy makers and introduce new innovative tools, that might become the bread and butter of pivotal international actors. As the European Union strives to forge a more effective Common Foreign and Security Policy, this event purports to discuss the potential implications of AI on EU Foreign Policy and examine the opportunities and challenges that might arise from its practice in the sphere of European diplomacy. The application of Artificial Intelligence in EU foreign policy indeed raises several critical questions. Can advancement in AI lead to a more cohesive and confident EU foreign policy?

Artificial intelligence has the capability to fundamentally change customer service health insurance in a manner that could dramatically reduce expenses and enhance healthcare quality as well as effectiveness. FREMONT, CA: Amid the tremendous benefit that AI delivers, the issue may arise that, do the companies really need AI? Well, perceiving, measuring, managing, and supporting it becomes difficult as it is vibrant, contextual, and give an enormous quantity of information that can be accomplished with the help of AI. It optimizes customer data and communications to fuel the interactive strategies, automate the day-to-day tasks, and structure the data to help institutions better understand the customer's view. Cutting the noise and delivering personalized and meaningful posts or material is essential as customization becomes a necessary component of the customer experience.

Houston: Researchers use artificial intelligence (AI) to identify patterns of brain activity that make people less responsive to certain antidepressants. In two studies, one published in the journal American Journal of Psychiatry and another in Nature Human Behavior, the scientists showed they could use imaging of a patient's brain to decide whether a medication is likely to be effective. Both the studies include the latest findings from a large national trial -- EMBARC -- intended to establish objective strategies to treat mood disorders based on biology, and minimize the prescription of treatments in a trial and error fashion. The researchers, including those from UT Southwestern's Center for Depression Research and Clinical Care in the US, plan to develop a range of tests such as brain imaging and blood analyses to improve the odds of finding the best treatment for mood disorders. "We need to end the guessing game and find objective measures for prescribing interventions that will work," said Madhukar Trivedi, who oversees EMBARC.