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What is the Future of Search? Smart Insights

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As we move into another new year there are once again a new set of predictions, hopes and concerns as to the direction of digital marketing over the next twelve months and beyond. There are so many exciting developments set to take place and I'm really looking forward to seeing how these take hold in 2018. One of the interesting areas I've observed across many trends is the recurrence of two themes: artificial intelligence (AI) and machine learning. These two closely related subjects seem to be taking hold across a number of areas, including marketing automation, digital creative, personalization and marketing technology. However, it's the influence of AI and machine learning on the future of search that I'd like to explore in some detail in this article and the potential implications on business and marketing.


42 Digital Marketing Trends You Can't Ignore in 2020

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This epic list article has been updated to include 20 more digital marketing trends to help you get ready for next year! At one time, artificial intelligence, data-driven marketing and voice search engine optimization (VSEO) were ambitious concepts bordering on the ridiculous. Today, these innovative digital marketing trends are among the top priorities for most business owners in 2020. And why wouldn't they be? After all, if your business has any intention of remaining competitive in today's online landscape, you must adapt to the rapidly evolving changes in digital marketing. "Each business is a victim of Digital Darwinism, the evolution of consumer behavior when society and technology evolve faster than the ability to exploit it. Digital Darwinism does not discriminate. Make no mistake: We live in a time when marketing technology moves fast and consumer interests and behaviors are hard to predict. Marketers can no longer stick their heads in the sand and hope that educated guesses ...


Visual Search Saga How the Technology is Dominating the Web and the Future of Search

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Humans are inherently visual beings. From time immemorial, we rely on visual cues for the basic adaptive behaviors, as well as complex behaviors. Most of us process information based on what we see rather than what we hear or read. And this age-old trend of visual learning has evolved into visual search, as the world became more and more digital and Internet-oriented. In comparison to the speed with which we understand and process pictures, we are terrible listeners and even slower readers. And this happens mostly because of science, as the neurons involved in processing visuals constitute almost 30% of the human brain.


Conversational AI and the Rise of Chatbots Disrupt Search

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Indeed, voice search is disrupting the world of text-based searches, but it is only part of the larger shift on how businesses need to think about communications with current clients and new consumers who have the potential of becoming a client. Conversational AI represents an easy way to get immediate answers and is shifting consumer behavior; voice search is a key player in the bigger picture of getting solutions fast but is only one part of it. The AI-based technology of natural language processing that enables voice search is pretty astounding, but in truth, Google doesn't understand natural language processing yet. The race is on with many participants who are trying to. Answer engine optimization (AEO) is a means in which SEO's are engaging with search engines to get their answer matched to a searcher's query. Search engine marketers can take advantage of AEO and conversational AI can help your business transition into the realm that fits trends in how users gain information. Conversational commerce is e-commerce conducted through various means of conversation. They may take the form of a live chat on e-commerce sites, a live conversation on messaging apps, through chatbots directly on websites, or via voice assistants.


Marketing and Artificial Intelligence: A Look to the Future LBBOnline

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"At the core of Bing is artificial intelligence. And at the same time Bing became the core of the artificial intelligence efforts of Microsoft. It started all in Bing because it's about understanding artificial intelligence in terms of managing a huge amount of data to really try to extract consumer understanding, consumer insights, with the purpose of understanding intent. When people are using their digital devices, sometimes they are trying to entertain themselves watching a video or sharing pictures with a million friends. But most of the time people are trying to accomplish something.