If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Half-price cinema tickets, cycle to work schemes and gym passes have long been part of employee benefits programmes. But with research showing 84% of millennials look to leave their jobs within the first two years, employers want to tailor their perks packages to their employees' needs. Emerging technologies such as data analytics, chatbots, and wearables can help employers know which benefits resonate with employees. And machine learning can monitor take-up and avoid wasting money on unwanted benefits. "From an employer perspective, there is already a lot more emphasis on looking at data to see what benefits employees are using," says Jeanette Makings, head of financial education at merchant bank Close Brothers.
The world is going digital at an unprecedentedly fast pace, and the change is only going to go even faster. The digitalization means everything is moving at lightning speed – business, entertainment, trends, new products, etc. The consumer gets what he or she wants instantly because the service provider has the means to deliver it. Click here to view original webpage at www.entrepreneur.com
Mindtree has released findings from a recent survey which reveal some businesses lack the understanding and mature data infrastructures to make AI a success. The study found most businesses are well underway with AI experimentation, but many still lack an understanding of the use cases to deliver business value and the data infrastructures for making AI a success across the enterprise on a sustainable basis. The survey, which gathered data from 650 global IT leaders from key business markets, found 85% of organisations have a data strategy and 77% have implemented some AI-related technologies in the workplace, with 31% already seeing major business value from their AI efforts. Organisations are achieving their vision to industrialise AI, but many can do more to gain real business value. Greater focus is needed on use cases that deliver business value When implementing an AI strategy, there's a pressing need for use cases to demonstrate business value.
If you're a CEO, you're being watched. A little more than you usually are, anyway. Research led by two Harvard Business School professors is attempting to find keys to the CEO's success through close study not of the exec's decisions or of others' opinions but of what they say and how they look when they say it. Using video interviews with 130 leaders, the researchers applied machine-learning tools to scrutinize the words that CEOs chose, how much they tended to stray from topic to topic, the positivity or negativity of the words they used, and their facial expressions. The era of machine learning has provided a boost for that last task.
Some commentators think machine learning is too new a field to be deployed for ad fraud mitigation. In the last few years, expertise and technological developments have come a long way in the field of machine learning. Widely used in the cybersecurity space already, ad tech seems to only just be catching on to the value of machine learning in ad fraud prevention. Did you know the term machine learning dates back to the 1950s? So how is it that a topic older than the compact cassette tape, is one of the hottest topics in technology today?
Two of Local Motors' competitors -- EasyMile and Navya -- import their vehicles from France and are able to get exemptions for R&D purposes. Local Motors is petitioning the National Highway Traffic Safety Administration, complaining that "smaller, innovative American vehicle manufacturers" like themselves are at a disadvantage, hindering competitiveness and endangering American leadership in autonomy and new technology development. "American companies creating American jobs building American cars have a higher bar to get vehicles on the road for purposes of research and testing than foreign companies importing vehicles," David Woessner, head of regulatory affairs for Local Motors, tells Axios. "The technology is moving faster than the regulatory environment can keep up with," adds Randell Iwasaki, executive director of Contra Costa Transportation Authority, which is trying to deploy both U.S. and foreign-made shuttles on public roads. Two of Local Motors' competitors -- EasyMile and Navya -- import their vehicles from France and are able to get exemptions for R&D purposes.
Imagine you go into a bookstore, and you also notice and fascinating cover. You select the publication, read the list in the trunk, along with the rave reviews. The storyline appears to be intriguing enough, but if you look for the author, it states" from AI-something." Can you purchase the book, or would you believe that has been a waste of cash? We'll have those choices going to the near future, and that will cause such writings?
The future of retail continues looking grim, as more brick and mortar stores close their doors. US retailers have announced 8,558 store closures so far this year, with total US store closures predicted to hit 12,000 by the end of 2019, reported Coresight Research on Friday. While the internet and automation are typically to blame for these closures, the same technology could actually be the solution for physical store locations, said Paul Winsor, general manager of retail at DataRobot. "If retailers want to stay open in the existing stores that they are operating in, my recommendation to them is to ask: Are they understanding the changing habits of those customers, and how they're shopping with them, in those locations?" "To survive in the tough, tough retail market, you have to start to turn your business, and make predictions, based on learning from your historical data," he added.
Personalised and proactive interactions are at the centre of what LG is building with its AI powered LG ThinQ ecosystem, under the strategy of "Evolve, Connect and Open", realised on the IFA showfloor in the always on, ambient intelligence of the LG ThinQ Home. Think a smart home full of connected products that know what you need before you do, with the tech to act on it, thanks to algorithms that are capable of analysing individual habits. The challenge: to transform these predictions into useful features that make for comfortable living. "LG ThinQ draws on data analytics and machine learning algorithms from LG's proprietary AI chip and LG Neural Engine to better understand the user's situation, patterns and preferences," said Dr IP Park, president and chief technology officer for LG Electronics. "Learning from the user's behavior, LG ThinQ products will ultimately evolve to anticipate the user's needs and deliver heightened performance."
AI is changing the field of synthetic biology and how we engineer biology. It's helping engineers design new ways to design genetic circuits -- and it could leave a remarkable impact on the future of humanity TVs and radios blare that "artificial intelligence is coming", and it will take your job and beat you at chess. But AI is already here, and it can beat you -- and the world's best -- at chess. In 2012, it was also used by Google to identify cats in YouTube videos. Today, it's the reason Teslas have Autopilot and Netflix and Spotify seem to "read your mind."