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Customer service could start living up to its name

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"YOUR CALL IS important to us," a recorded voice tells resigned customers as they wait endlessly to speak to a human agent. AI is starting to help companies improve the quality and consistency of their service in order to persuade customers that they do in fact care about them. Ocado, a British online grocer, receives around 10,000 e-mails from customers every day and uses AI to detect the prevailing sentiment in them. It now replies to the most urgent ones first, and is planning to route complaints to agents with expertise in the relevant field. "Like other applications of AI, it's about trying to make humans more efficient, not take them out of the process entirely," says Paul Clarke, Ocado's chief technology officer.


How Chatbots Can Give Retail a Customer Experience Boost

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Today retailers are faced with a constant storm of challenges from battling consumer price sensitivity and digital competitors to in- story showrooming and customer complaints about service. As the retail landscape grows complex, chatbots are offered a prime opportunity to improve both customer experience and giving retailers a fighting chance. Despite this opportunity, the chatbot market forecasts naturally give a much smaller share to shopping's brick and mortar cousin of the e-commerce darling. Most of the attention we've seen so far has been on messenger bots for ecommerce experiences. But let's look at the role bots can play and are already playing in brick and mortar stores.


Why Every Marketing Strategy Should Include AI - TruVest

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If you've bought anything online recently, chances are you've experienced something like this: You visit a store's website to buy a sci-fi movie. The website makes recommendations of other movies for you to purchase. The next day, you get a follow-up email recommending other similar movies, and even some similar books. Intrigued by one of the books on the list, you decide to buy it as well. All of those recommendations are powered by artificial intelligence.


The best dating sites for women looking to make a connection

Mashable

Success stories for eHarmony are shared on the site. Once again -- free to sign up, but options are limited. To actually message, you need a membership.


How AI Is Improving the Digital Shopping Experience

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From machine learning applications in retail, to intelligent systems in e-commerce, artificial intelligence (AI) is completely changing the digital landscape. Digital advertising is becoming smarter with improved targeting, the digital shopping experience is getting revitalized with tailored recommendations and streamlined transaction, and AI is the catalyst in the middle leading the charge. On the business side, AI drives revenue growth by allowing us to engage existing customers in more meaningful ways. Through this, targeting and segmenting is also streamlined, something that benefits consumers as well because they see more of what they want, rather than what the retailer wants. The point being that AI is improving the digital shopping experience for all.


What Shopping in the Future Will Look Like

WSJ.com: WSJD - Technology

Ms. Chan pointed to Amazon.com Inc.'s new "Go" convenience store in Seattle as an example. Shoppers at the store are tracked by an array of sensors, and the store uses computer vision and machine-learning algorithms to charge shoppers, follow them through the store and learn about their buying habits. Ms. Chan expects stores to more deeply integrate artificial intelligence into the shopping experience. For example, she said, stores in the future will allow shoppers to scan food for nutrition and other information, then suggest other items to round out a meal and guide shoppers through the store--all while gathering and storing information about shoppers' buying habits.


What You Need to Know About Artificial Intelligence

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A 2017 report from Cognizant explored 21 new jobs likely to develop over the next decade, including the following: --Walker/talkers will spend time with customers, especially seniors who may be widowed or live far from family. It's an example of a future job that is not necessarily high-tech but will use a tech tool (like an Uber or Lyft app) to make it possible, says Ben Pring, VP and managing director of Cognizant's Center for the Future of Work. Likely salary: $10-$13/hour --Digital tailors will work with customers at home or work to ensure clothes ordered online fit perfectly. Forty percent of clothes purchased online are returned, a big expense for retailers. High-tech tailors will set up a cubicle that digitally captures body measurements and uploads them into a cloud-based ordering system.


What You Need to Know About Artificial Intelligence

#artificialintelligence

A 2017 report from Cognizant explored 21 new jobs likely to develop over the next decade, including the following: --Walker/talkers will spend time with customers, especially seniors who may be widowed or live far from family. It's an example of a future job that is not necessarily high-tech but will use a tech tool (like an Uber or Lyft app) to make it possible, says Ben Pring, VP and managing director of Cognizant's Center for the Future of Work. Likely salary: $10-$13/hour --Digital tailors will work with customers at home or work to ensure clothes ordered online fit perfectly. Forty percent of clothes purchased online are returned, a big expense for retailers. High-tech tailors will set up a cubicle that digitally captures body measurements and uploads them into a cloud-based ordering system.


What lurks on the dark web? New research uses AI to shine a light - Create News

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The dark web (also known as the deep, invisible and hidden web) with its veil of anonymity has been associated with crimes such as drug dealing, child pornography and credit card fraud. This dire reputation is difficult to confirm through research, as criminal sites can only be accessed legally by law enforcement officers conducting an investigation. But a recent study led by Monash University PhD candidate Janis Dalins – who also happens to be an Australian Federal Police (AFP) officer – has been able to shed light on the actual activity going on in the dark web's shadowy realms. Dalins' main academic supervisor, Dr Campbell Wilson, told create digital the PhD research was not originally focused on law enforcement, but Dalins' policing background offered a unique opportunity to develop tools to improve community safety online. "It became clear over time that we could bring Janis' experience in law enforcement together with research, particularly in machine learning," Wilson said.


Top 15 Machine Learning Companies - Datamation

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Machine learning (ML) is a sector that is both growing exponentially right along with ML's twin, artificial intelligence (AI). IDC predicts that AI and ML spending will explode in the coming years, from $8 billion in 2016 to $47 billion by 2020. While the two terms are used interchangeably, and often together, there is a difference between the two. AI is a large umbrella of automation, while machine learning is a subset of AI that involves a program or application gaining better knowledge or understanding of the task it is performing, based on data, without requiring it to be reprogrammed. Both emerging technologies have spawned new business ventures.