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) …
One example where AI works in this regard is the personal recommendation engines that are used on sites like Amazon and Netflix. These machine learning algorithms analyze data including browsing behavior, past customer interactions, previous purchases, and the purchases of other customers who share certain behaviors or characteristics. This information is used to automatically recommend products that are highly likely to be of interest to each user, rather than a more generic selection of items that are somewhat similar to items purchased in the past.
Artificial intelligence (AI) is no longer becoming a part of our everyday lives, it already is. More consumers than not are living in smart homes and working in smart offices. The number of users of smart speakers like Amazon's Echo and Google Home is growing at a compound annual rate of 47.9 percent and between 2016 and 2020 is expected to grow from 16 million to 76.5 million. The hospitality industry is rapidly identifying ways to put AI into widespread use. With large sets of data becoming more prevalent and AI becoming more accessible, hotel marketers have the potential to transform how they operate to maximize returns, optimize processes and interact with guests for increased satisfaction and loyalty.
As the world gasps for clean, safe, cheap, and reliable energy, demand from developing countries and the requirements of new usages rises, fueling a backlash against traditional, centralized power sources. As a result, reliance on renewable energy sources continues to grow, and the sector moves from regulation to innovation while its customers transform from passive consumers to demanding prosumers. Technologies such as automation and artificial intelligence will be instrumental in capitalizing on these shifts. But are organizations poised to make a success of them?
As the B2B sales and marketing landscape continues to evolve, sales teams are increasingly challenged by the shift in power from seller to buyer and are beginning to turn to advanced technologies such as artificial intelligence to streamline and optimize their efforts, writes Brian Kardon, Chief Marketing Officer, Fuze. In 2015, Forrester sparked serious debate, a bit of outrage, and some palpable fear when it predicted the loss of one million B2B sales jobs by 2020. This gloomy forecast hinged on the undeniable shift in power from seller to buyer – and the failure of many sales teams to adapt accordingly. The sales reps who have gone on to succeed are the ones who grasped the fact that newly empowered – yet overwhelmed – buyers are desperate for sales pros who can intelligently guide and facilitate the frustrating buying process. Moreover, their organizations understand the value of advanced technologies – like artificial intelligence (AI) – in freeing their reps from the mind-numbing yet necessary tasks that distract from the core of selling.
Contact centers often pool agents into large groups of generalists to distribute work evenly. Skills-based routing takes this a step further with specialized groups. But neither approach scales properly to identify all opportunities and drive business outcomes on each interaction. Predictive routing uses artificial intelligence (AI) and machine learning to create balance--meeting targets and giving customers a personalized experience.
Sure, Siri can open Netflix for you and search for a George Clooney movie, but only if you spring $179 to $199 for the Apple TV accessory streamer. Now, Apple's personal assistant can turn on the TV, change the channel and find a specific TV show, on certain newer TVs from Vizio, Samsung, Sony and LG. It's part of a radical rethink on Apple's part to bring Apple outside of the ecosystem, and onto mainstream television sets. Samsung pushed out Apple's AirPlay features on new smart TVs that began shipping May 13. AirPlay lets you mirror what's on your device.
In this Oct. 31, 2018, file photo, a man, who declined to be identified, has his face painted to represent efforts to defeat facial recognition during a protest at Amazon headquarters over the company's facial recognition system, "Rekognition," in Seattle. San Francisco is on track to become the first U.S. city to ban the use of facial recognition by police and other city agencies. These days, with facial recognition technology, you've got a face that can launch a thousand applications, so to speak. Sure, you may love the ease of opening your phone just by facing it instead of tapping in a code. But how do you feel about having your mug scanned, identifying you as you drive across a bridge, when you board an airplane or to confirm you're not a stalker on your way into a Taylor Swift concert?
The US government is warning businesses about the risks of using Chinese-made aerial drones on claims they may pose a spying threat. On Monday, the Department of Homeland Security issued an industry alert over the alleged spying dangers, according to CNN. The alert doesn't name a specific company, but one of the biggest drone manufacturers in the world is DJI, which is based in Shenzhen, China. The department is worried the drone technologies can collect information and secretly send it back to their manufacturers in China. If this occurs, the Chinese government has the power to compel the manufacturer to hand over all the acquired data.
A robotic dog that can dance, do flips and jump has been created by a team of students - and they are encouraging people to build their own. The robo-dog senses when it is out of position and uses'virtual springs' to pop upright with precision. It has been created with the goal of being reproduced by anyone and the team has published their designs and blueprints online to encourage people to make their own robots. Doggo's creators wanted to share their joy so much they have made the plans, code and a supply list all freely available on GitHub, a specialist platform for developers to share computer code. On the Stanford Doggo Project Github blog, the students describe themselves as undergraduate and graduate students in the Stanford Student Robotics club and part of the club's'Extreme Mobility team'.
The first legal battle in the UK over police use of face recognition technology will begin today. Ed Bridges has crowdfunded action against South Wales Police over claims that the use of the technology on him was an unlawful violation of privacy. He will also argue it breaches data protection and equality laws during a three-day hearing at Cardiff Civil Justice and Family Centre. Face recognition technology maps faces in a crowd then compares results with a "watch list" of images which can include suspects, missing people and persons of interest. Police who have trialled the technology hope it can help tackle crime but campaigners argue it breaches privacy and civil liberty.