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) …
In the summer of 1956, 10 scientists and mathematicians gathered at New Hampshire's Dartmouth College to brainstorm a new concept assistant professor John McCarthy called "artificial intelligence." According to the original proposal for the research project, McCarthy -- along with fellow organizers from Harvard, Bell Labs, and IBM -- wanted to explore the idea of programming machines to use language and solve problems for humans while improving over time. It would be years before these lofty objectives were met, but the summer workshop is credited with launching the field of Artificial Intelligence (AI). Sixty years later, cognitive scientists, data analysts, UX designers, and countless others are doing everything those pioneering scientists hoped for -- and more. With deep learning, companies can make extraordinary progress in industries ranging from cybersecurity to marketing.
Adults in the U.S. now spend more than six hours per day listening to, watching, reading or interacting with digital media which has huge implications for how brands market to their customers. Made in China or the USA? It won't matter: These jobs are going to robots In the near future, where goods are made will have no real bearing on where the jobs are. Jersey City, NJ-based Forbes Insights has teamed up with Ventura, CA-based real-time ad bidding platform The Trade Desk to ask 226 global CMOs in organizations across sectors with annual revenues of over $500 million about the issues and challenges they are facing. The findings released in its'The Modern CMO white paper' reveal that the biggest challenge that is keeping CMO's up at night is how to keep up with the changing consumption habits of today's digital consumer.
AI voice assistants are more capable than ever of helping consumers shop smart. That means your marketing efforts will have to shift priorities in a major way to capture their attention. To hear about actual voice chat use cases, how to leverage voice and bots right now and more, don't miss this VB Live event! Ding dong, it soon may be time to start thinking of google as near-dead in the water. The day is coming where marketers will have to redirect the time, energy, and laser focus on search engine optimization, and the millions of dollars spent on buying keywords and relevant content, to voice interfaces.
By now, companies should recognize the importance of personalization. Generic content doesn't resonate, and in an online world saturated with basic content, most people only pay attention to messages that are tailored to their tastes. But even though most marketers understand why they should personalize their messages to customers and prospects, most of them don't do it. According to Econsultancy, 74% of marketers know personalization is good for customer engagement, but only 19% of them utilize personalization in their campaigns. Marketers would love to personalize their outreach, but they either don't know enough about their customers or don't have access to convenient channels to deliver relevant information.
In many ways, artificial intelligence (AI) is already influencing digital marketing in general, and content marketing in particular. But the truth is, there is so much more to come – so many more changes and improvements that AI will surely bring to content marketing. In this blog post, I'm going to explore some of these changes in order to try to understand what the future holds – read on to discover the 3 ways that artificial intelligence will change content marketing. Before I can discuss the effects of artificial intelligence – also known as AI, machine intelligence and in some cases, machine learning - on content marketing, it's important to first understand what exactly artificial intelligence is. So, what is AI, exactly? Techopedia defines it as "an area of computer science that emphasizes the creation of intelligent machines that work and react like humans.
As Google so rightly puts it, "machine learning is only as good as what you ask it to optimize." In my discussion with Julie Rieger, 20th Century Fox Film President, Chief Data Scientist and Head of Media on the subject, she shared how one of the biggest challenges to aligning machine learning with meaningful insights is breaking free of the cognitive biases marketers often bring to table. Many times, they tend to apply legacy-based mental models and measures that prevent marketers from seeing new opportunities for marketing. They exchange investments in innovation and growth for scale and efficiency. On the other hand, modern marketers are using machine learning to focus on growth by taking a holistic view of the customer and reimaging marketing to deliver against evolved expectations.
Jeff Coyle is a data-driven search engine marketing executive with more than 18 years of experience in the search industry managing products and website networks. Jeff is the Co-founder and Chief Product Officer for MarketMuse, where he is focused on helping content marketers, search engine marketers, agencies and e-commerce managers build topical authority, improve content quality and turn semantic research into actionable insights. Before joining as Co-founder at MarketMuse, Jeff owned and operated his own inbound marketing consultancy and managed the Traffic, Search and Engagement team for TechTarget, a leader in B2B technology publishing and lead generation.
The role of AI in marketing has increased rapidly in the last 5 years. AI-powered marketing is making many marketers work easier by delegating a heavy load to machines while giving marketers the opportunity to refocus their efforts on purely marketing matters, hence, allowing them more time to address any sort of challenge that comes their way. AI is continuously evolving, and with it, marketer's ability to construct highly insightful campaigns. Data-driven decision making is the way forward for many organizations to achieve business goals. Research conducted by the MIT Center for Digital Business, revealed that companies that are data-driven had 4 percent higher productivity and almost 6 percent higher profits than the average.
Automation of marketing platforms has had a great impact on the industry over the past few years, it is helping to make marketers more efficient, profitable and successful. However, marketing automation still relies on manual control. It consumes all that time that your marketing team spends on repetitious work. One great technological solution to this problem is AI marketing. AI technologies that are available nowadays can perform that drudgery more efficiently.
"In the business of keeping you Hooked to Technology", the rise of interactive technological innovations has created a sea of opportunities for marketers. Intricately woven human lives and technology has further allowed marketers to enter unexplored arenas with trending technologies like Data Analytics, Blockchain, Artificial Intelligence, Machine Learning, Voice Search, and Internet of Things. Since the sole objective of CMOs or any marketer is to design and implement the most effective marketing strategies to achieve their goals, to acquire the expected results, it is essential that marketers keep up with the marketing technology trends and utilize to their benefit. Entirely devoted to keep us engaged, they know how to make us push the buttons, swipe, zoom, pinch, coax us to buy their products for days and weeks…. Irresistible apps rule the consumer world and with a right mix of trend, marketers can sure aim for the stars.