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Why AI needs a magic moment

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Well-known author Malcolm Gladwell defines the tipping point as "that magic moment when an idea, trend, or social behavior crosses a threshold, tips, and spreads like wildfire." The idea of using AI-powered technology to fuel digital marketing and customer experience has been around for years, yet recently it seems that every leading newspaper and tech blog is buzzing with AI stories. Major analyst firms too have been predicting an AI investment boom. IDC, for example, is forecasting a 54 percent growth in marketing spend on AI software over the next four years, from $360 million in 2016 to more than $2 billion in 2020. We've also seen an uptick in deployments of AI-powered machine learning offerings from marketing cloud vendors racing to provide the optimal automated experience delivery.


How 970 million voicebots shipped by 2020 will change sales forever

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Stephen Hawking famously said, "The development of full artificial intelligence could spell the end of the human race." Before that happens, however, the emergence of AI-driven sales technology will almost certainly spell the end of selling as we know it now -- and could spell the end of the line for businesses that don't appreciate the power in the next wave of technology. Imagine a digital sales assistant that responds to verbal commands. Those commands could be simple -- "call the next most qualified lead in my queue," for example. Or they could be complex -- "provide an analysis of which up-sell offers have worked best for prospects like the one I'm working on."


An introduction to AI-powered ecommerce merchandising

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Amazon has been using algorithms to try to sell you extra stuff for years. But the technology to personalise merchandising, much further than recommendations, is advancing rapidly across ecommerce. Companies such as Sentient and Apptus and their AI-powered systems are changing site search functionality, product lists, facets and more, to try to generate more sales. I caught up with Sören Meelby, VP Marketing at Apptus, to get an introduction to the technology (Apptus eSales), and to pose some questions about the user experience in online retail. Sören Meelby: Each and every sort order typically follows a logic or business rules and'most popular' is fairly straight forward.


Why AI needs a magic moment

#artificialintelligence

Well-known author Malcolm Gladwell defines the tipping point as "that magic moment when an idea, trend, or social behavior crosses a threshold, tips, and spreads like wildfire." The idea of using AI-powered technology to fuel digital marketing and customer experience has been around for years, yet recently it seems that every leading newspaper and tech blog is buzzing with AI stories. Major analyst firms too have been predicting an AI investment boom. IDC, for example, is forecasting a 54 percent growth in marketing spend on AI software over the next four years, from $360 million in 2016 to more than $2 billion in 2020. We've also seen an uptick in deployments of AI-powered machine learning offerings from marketing cloud vendors racing to provide the optimal automated experience delivery.


Know Your AI Lingo: A Cheat Sheet for Non-Computer Scientists

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The topic of artificial intelligence is everyone's lips lately. Just Google the term and you'll see a plethora of articles and information on the subject, generating daily -- and not just from academic journals, but in mainstream media and pop culture. We talk about artificial intelligence quite a bit on our own blog, so it's a good idea to brush up on some of the vocabulary you'll be hearing a lot more about as AI becomes more ubiquitous in our lives. Check out our handy glossary and then test yourself with our fun quiz. Or more simply, having machines "think like a human."


Personalized Machine Learning (MAS.S61)

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Recent advances in machine learning have enabled a number of applications for health and well-being, marketing and social robots, among others. Traditional machine learning relies mainly on generic models: models tuned to an average target population. However, the'good' performance by these generic models doesn't necessarily translate to each individual in the group. While this can be acceptable in certain domains (e.g., marketing research), when it comes to, for instance, health and well-being, new systems need be optimized and work for each person. They should also help an individual to see, for example, which factors they might change in their life to improve their health or mood.


How AI Can Make Your Marketing More Intelligent and Less Artificial

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What comes to mind when you think of a door-to-door salesman? I'm going to go out on a limb here and say that terms like "phony" or "artificial" come to mind. The words phony and artificial probably aren't on your radar when a movie or product suggestion pops up on your phone or computer, right? In fact, it's quite the opposite. As consumers, we generally trust that these accounts, curated with information about us, are actually fairly well qualified to make recommendations and influence our media consumption and purchasing decisions.


Four ways AI is already being applied to sales and marketing

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Behind the scenes, artificial intelligence (AI) technology is increasingly present in sales and marketing software. And many believe that it is not just going to have an impact but that it is going to dramatically reshape how sales and marketing function in the coming years. While the phone call is an ancient phenomenon to many individuals, companies large and small still conduct a lot of their sales activity over the phone. Unfortunately, for obvious reasons, tracking, analyzing and improving the performance of salespeople on phone calls is a much more challenging task than, say, tracking, analyzing and improving the performance of email sales. But a number of companies, including Marketo, AdRoll and Qualtrics, are using "conversation intelligence" company Chorus.ai's


3 Tips to Drive Business Value with CX – Fortified with REAL AI

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With a first name of "Artificial," AI has certainly entertained us with its virtual possibilities. Stories of wholesale disruption by robots and fully automated lives make for good movie material, but as of yet, AI hasn't dominated the marketplace, consumer experiences, or business applications in a monumental way. AI has the potential to change our daily lives, yet for most, its impact so far has been nominal. As a businessperson concerned with driving better customer engagement, you're no doubt interested in this topic, yet probably carry some healthy skepticism about the potential for return from your AI investments, and the risk of them failing. Your suspicion is not only natural, it's warranted.


The Era Of AI Will Be Ruled By UI AdExchanger

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"Managing the Data" is a new column about customer and audience data strategy written by longtime AdExchanger contributor Chris O'Hara. In 1960, the US Navy coined a design principle: Keep it simple, stupid. When it comes to advertising and marketing technology, we haven't enjoyed a lot of "simple" over the last dozen years or so. In an increasingly data-driven world where delivering a relevant customer experience makes all the difference, we have embraced complexity over simplicity, dealing in acronyms, algorithms and now machine learning and artificial intelligence (AI). When the numbers are reconciled and the demand side pays the supply side, what we have been mostly doing is pushing a lot of data into digital advertising channels and munching around the edges of performance, trying to optimize sub-1% click-through rates.