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How To Master Customer Retention Using Artificial Intelligence

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Today's consumers are overwhelmed by a constant deluge of advertisements and promotions. They are tired of the noise and fatigued by all the product options. They increasingly desire the personalized attention they get from Amazon and Netflix from all the brands they interact with. Of course, not every brand can be an Amazon, but companies are starting to recognize that they can no longer rely on traditional marketing strategies. They have to better understand their current customers and focus the majority of their marketing energy on retention, not acquisition.


How Microsoft's other machine learning tricks could make its bots even smarter 7wData

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As someone on Twitter said, if "bots" was on your Build 2016 drinking game card, you'd be long dead. But while Microsoft is all about getting developers to create intelligent app companions to make our lives easier, is there any impressive machine learning the Redmond firm is ready to show off right now? The answer, surprise, is yes. Besides ordering Domino's pizzas, Microsoft has been tinkering with its Azure-based tools to recognize age, gender, emotion and individuals by name. Remember the great/awful How Old Do I Look? website introduced at last year's Build?


Groups urge IBM not to use AI to help Trump deport immigrants

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The Immigration and Customs Enforcement (ICE) is reportedly looking into ways to use machine learning technology and social media monitoring to identify people for visa denial–and to select people for deportation from the United States. After IBM attended the informational meeting, rights groups are concerned that the company might be considering getting involved with the program. While Reuters obtained an email from Christopher Padilla, IBM's vice president of government affairs, saying that IBM "would not work on any project that runs counter to our company's values, including our long-standing opposition to discrimination against anyone on the basis of race, gender, sexual orientation, or religion," he also noted that it was "premature to speculate" whether IBM would pursue this business. To hopefully sway IBM from getting in bed with ICE, a coalition of rights groups, including 18 Million Rising and Center for Media Justice launched an online petition on Thursday urging IBM Corp to renounce the proposal entirely. If you sign it, you won't be alone.


Groups urge IBM not to use AI to help Trump deport immigrants

#artificialintelligence

The Immigration and Customs Enforcement (ICE) is reportedly looking into ways to use machine learning technology and social media monitoring to identify people for visa denial–and to select people for deportation from the United States. After IBM attended the informational meeting, rights groups are concerned that the company might be considering getting involved with the program. While Reuters obtained an email from Christopher Padilla, IBM's vice president of government affairs, saying that IBM "would not work on any project that runs counter to our company's values, including our long-standing opposition to discrimination against anyone on the basis of race, gender, sexual orientation, or religion," he also noted that it was "premature to speculate" whether IBM would pursue this business. To hopefully sway IBM from getting in bed with ICE, a coalition of rights groups, including 18 Million Rising and Center for Media Justice launched an online petition on Thursday urging IBM Corp to renounce the proposal entirely. If you sign it, you won't be alone.


Is AI a dude or a dudette?

@machinelearnbot

Sure, Facebook has "M", Google has "Google Now", and Siri's voice isn't always that of a woman. But it does feel worth noting that (typically male-dominated) engineering groups routinely give women's names to the things you issue commands to. Is artificial intelligence work about Adams making Eves? The response to this critique is usually about the voices people trust and find easy to understand. Adrienne LaFrance over at The Atlantic does a good job discussing those points, so go read her article.


Artificial Intelligence May Reflect the Unfair World We Live in

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We've all heard Elon Musk speak with foreboding about the danger AI poses -- something he says may potentially bring forth a Third World War: This is of course the power of artificial intelligence (AI). Related: 5 Major Artificial Intelligence Hurdles We're on Track to Overcome by 2020 But let's put aside for a moment Musk's claims about the threat of human extinction and look instead at the present-day risk AI poses. This risk, which may well be commonplace in the world of technology business, is bias within the learning process of artificial neural networks. This notion of bias may not be as alarming as that of "killer" artificial intelligence -- something Hollywood has conditioned us to fear. But, in fact, a plethora of evidence suggests that AI has developed a system biased against racial minorities and women.


should-we-teach-facial-recognition-technology-about-race

WIRED

Tech companies are eyeing the next frontier: the human face. Should you desire, you can now superimpose any variety of animal snouts onto a video of yourself in real time. If you choose to hemorrhage money on the new iPhone X, you can unlock your smartphone with a glance. At a KFC location in Hangzhou, China, you can even pay for a chicken sandwich by smiling at a camera. And at least one in four police departments in the US have access to facial recognition software to help them identify suspects.


Sexist self-driving car ad says the biggest benefit of AI is keeping women from driving

Mashable

Chinese search giant Baidu has a self-driving car project in development that aims to put its autonomous driving platform into vehicles as early as next year. The company's latest attempt at a viral promotion is far from anything you'd expect to see from one of the world's most advanced autonomous projects, however -- or really any major brand in 2017. Baidu's US Twitter account posted a short video today about how self-driving cars will make the world a better place. The skit opens with two women leaving work talking about makeup, and it quickly goes downhill from there. Imagine a future where in-car arguments over'someone's' bad driving are obsolete!


Congratulations, it's a girl: Exploring sexism in artificial intelligence

#artificialintelligence

I have just had a baby girl. I mean it is probably worth noting my wife played some part in her gestation and delivery, but as a modern progressive couple I'll assume a minimum of 50 percent of the credit. Her arrival has made me consider what the world holds in store for this little female version of me. As I bark at Siri, holding my daughter in the dark, for a "how to" video on baby swaddling, I suddenly feel unsettled. As it becomes second nature to bark orders at the'person in our pocket', does it matter that this person seems to be a she?


Machine Learning 101 – Blog

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The business headlines are dominated with buzzwords like machine learning, data analytics, and predictive analytics. You hear about case studies like "Chase uses predictive analytics to predict credit worthiness in customers", "Netflix uses machine learning to recommend movies to its subscribers", "Amazon segments customers using AI [artificial intelligence]", and, fantastic as it sounds, "Most hedge funds allow machine learning algorithms to pick and trade stocks… with better success than the experts." Machine learning and artificial intelligence are everywhere. It's pervasive in every aspect of life from you're your big store purchases, to Google search recommendations, to Amazon delivery logistics, to Netflix movie recommendations. It's also everywhere you're not seeing.