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) …
Manufacturing companies can feel product cycles tightening around them. In our fast-paced world, consumers are tossing out devices with rapid regularity, calling for the newest gadget, the hottest feature, the most instantaneous service. But how will manufacturing companies keep pace with this growing demand while continuing to produce increasingly complex goods? Smart Manufacturing, Industry 4.0, the Digital Enterprise, Factory of the Future or whatever you choose to call it, is revolutionizing the industry as we know it. Unlike the first industrial revolution of steam and iron (remember when hot water was a nifty tool?), this industrial revolution is splicing computing power and machine technologies to fuel a better, more efficient workplace that harnesses the abilities of modern informational, operational and communication technologies.
Direct chat marketing is booming around the world, especially when it comes to popular chat platforms such as Facebook Messenger. With over 1.2 billion active monthly users, Facebook Messenger is one of the biggest platforms in the industry, and consequently, one of your most lucrative opportunities for growth and conversions. Provided that you embrace chatbot technology to engage with your audience and deliver unparalleled customer service. But Messenger bots go even beyond these benefits and stand to improve your entire sales cycle and conversion rate, leading to faster growth and better brand awareness and trust down the line. Let's take a look at five key ways that Facebook Messenger chatbots can benefit your Facebook strategy and your brand as a whole.
For those of us who worry that Facebook may have serious boundary issues when it comes to the personal information of its users, Mark Zuckerberg's recent comments at Harvard should get the heart racing. Zuckerberg dropped by the university last month ostensibly as part of a year of conversations with experts about the role of technology in society, "the opportunities, the challenges, the hopes, and the anxieties." His nearly two-hour interview with Harvard law school professor Jonathan Zittrain in front of Facebook cameras and a classroom of students centered on the company's unprecedented position as a town square for perhaps 2 billion people. To hear the young CEO tell it, Facebook was taking shots from all sides--either it was indifferent to the ethnic hatred festering on its platforms or it was a heavy-handed censor deciding whether an idea was allowed to be expressed. Zuckerberg confessed that he hadn't sought out such an awesome responsibility.
For those of us who worry that Facebook may have serious boundary issues when it comes to the personal information of its users, Mark Zuckerberg's recent comments at Harvard should get the heart racing. Zuckerberg ostensibly dropped by the university last month as part of a year of conversations with experts about the role of technology in society, "the opportunities, the challenges, the hopes, and the anxieties." His nearly two-hour interview with the Harvard law school professor Jonathan Zittrain in front of Facebook cameras and a classroom of students centered on the company's unprecedented position as a town square for perhaps two billion people. To hear the young CEO tell it, Facebook was taking shots from all sides--either it was indifferent to the ethnic hatred festering on its platforms or it was a heavy-handed censor deciding whether an idea was allowed to be expressed. Zuckerberg confessed that he hadn't sought out such an awesome responsibility.
Tesla, the electric vehicle automotive manufacturer, has been having a rough couple of weeks. The company recently announced plans to shutter all of its brick-and-mortar stores, and to do only online sales. And there have been a number of high-profile crashes reported in the news, including two very recently in Florida, which prompted federal agencies NTSB and NHTSA to investigate the cars' driver assistance technology, in particular the autopilot systems. Also: Tesla's new Model Y will be revealed on March 14 CNET Additionally, the Tesla Model 3, the company's volume production sedan -- which recently became available in a $35,000 entry-level model after years of waiting -- had its Consumer Reports recommendation rescinded after numerous customer reports of reliability issues related to hardware, paint, and trim. This is not to say that all Tesla cars are bad, that the technology is all bad, or that the company is incapable of producing a reliable automobile.
Artificial intelligence and machine learning are an increasingly integral part of many industries, including marketing. But while we often talk about using or incorporating AI in marketing, what do we really mean by that? What does it look like in practice? Here are 15 examples of AI and machine learning in action in the marketing industry (P.S. remember to check out Econsultancy's Marketer's Guide to Machine Learning and AI). The practice of clustering customer behaviours to predict future behaviours began way back in 1998, with a report on'digital bookshelves' by Jussi Karlgren, a Swedish computational linguist at Columbia University. In the same year, Amazon began using "collaborative filtering" to enable recommendations for millions of customers.
This article is part of our February 2019 series about mobile. Smartphones and other mobile technologies have revolutionized the way people connect with friends, business associates, and the larger world. They've transformed everything from agriculture and energy production to retailing and zoology. It's also safe to say we now live in a world where mobile apps rule and wireless connectivity is viewed as a utility. "The mobile experience is front and center for every business," said Aaron Tenbuuren, experience design lead at Intrepid Pursuits, a design firm that's part of Accenture.
This is part 5 of a Guide in 6 parts about Artificial Intelligence. The guide covers some of its basic concepts, history and present applications, possible developments in the future, and also its challenges as opportunities. Reviewing some case studies helps to bring artificial intelligence to life, and to understand how it is used. Here we will review the field of entertainment, where the company Magic Leap has made great strides with the use of artificial intelligence. Magic Leap is a start up company located in the USA.
Jack was always tense during eye exams, but Doctor Wasserman was friendly and reassuring. "So, do I need a new prescription, Doc?" "It's been three years, and you're in your forties. But the big question now is, do you want to try out the new Erika glasses? We just got them in." Jackson T. Reed considered himself a gadget guy. His house had an Erika smart assistant in every room, and he'd been reading about the new glasses for months. Unlike the Giggle Gazes from a decade ago, when the e-commerce giant Hudson developed the Erika glasses, Hudson's engineers recognized that prescription patients were the most likely consumers to be comfortable with wearing glasses, so they'd make the best early adopters. Jack smiled a big wide smile. I've already chosen my frames. Another big difference from the Giggle Gaze of years past was that Hudson waited until it could create augmented reality glasses that looked just like normal eyewear. While Giggle Gaze wearers looked strange, and were commonly referred to as "gazeholes," the Erika-based AR glasses looked good on people. The tech media immediately dubbed them "Gerikas," conflating the words glasses and Erika. An hour later, Jack's Gerikas were ready. Wasserman's assistant handed them to Jack.
Tech workers are increasingly uneasy about their employers' work with the US government, especially the military. Some protests have led to real change: Google last year decided not to renew a contract with the Pentagon to apply artificial intelligence to drone footage, after 4,000 employees signed a petition protesting the arrangement. Last week, a group of Microsoft workers published a petition asking executives to terminate a contract to develop augmented reality technology for the US military. Monday, Microsoft CEO Satya Nadella rebuffed the plea. "We made a principled decision that we're not going to withhold technology from institutions that we have elected in democracies to protect the freedoms we enjoy," Nadella told CNN Business at Mobile World Congress in Barcelona.