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) …
The Digiday AI Marketing Summit is coming up in April and will cover how brands can understand and use AI and machine learning in their marketing. If you're a brand marketer figuring out how to use AI for customer service, content creation, internal data organization and more, apply for a complimentary pass here. Cars aren't the only thing Volkswagen wants to automate. Artificial intelligence is managing the brand's media buys in Germany and proving to be more effective than its media agency. Whenever Volkswagen uses the recommendations from Blackwood Seven, a Danish media agency that uses AI and predictive analytics to forecast ad spend decisions, it sells more cars than it would have if it had gone with its media agency's recommendation, according to Lutz Kothe, the head of marketing for Volkswagen's passenger cars in Germany.
Two decades ago, Artificial Intelligence was a major topic in the world of Sci-Fi. Primarily driven by big blockbusters, such as The Terminator and The Matrix, the idea of computational power becoming sufficient enough to simulate the human brain has been around since the 1940s. Yet, philosophers have theorized the possibility of how the human mind can be explained through mathematics and symbols much earlier. Nevertheless, in 2018, our societal definition of the term has been tweaked. Based on its prevailing significance today in the online tools we use constantly, making the assumption that AI will change social media marketing with a swing is not too far off.
In the past few years, machine learning (ML) has revolutionized the way we do business. A disruptive breakthrough that differentiates machine learning from other approaches to automation is a step away from the rules-based programming. ML algorithms allowed engineers to leverage data without explicitly programming machines to follow specific paths of problem-solving. Instead, machines themselves arrive at the right answers based on the data they have. This capability made business executives reconsider the ways they use data to make decisions.
Earlier this year, we ran an article explaining why machine learning is much bigger than Google and RankBrain. The technology isn't just making our search engines and devices more intelligent; it's transforming the way we approach and manage our marketing campaigns. The machine learning revolution has already begun and things are going to get a lot more exciting over the next few years. So, to give you a taste of what's to come, here are five ways machine learning will transform your marketing workflow. As things stand, most marketers are swimming in more data than they can handle.
The impact of Artificial Intelligence and Social media on society and business in general is widely recognized as one of the great technological achievements in known history. Multiple industries from varied areas of human activity have benefitted from the processes used by AI in conjunction with IT/Cloud technology, and have created many new jobs as well as increased their market presence and visibility, while boosting production levels and cutting costs. Everything from semantics technology, machine learning, cognitive intelligence, to Natural Language Processing (NLP) together with text mining and Robotic Process Automation (RPA), is used in social media applications to boost business and satisfy customer experience. Through Machine Learning--now a vital part of marketing automation-- and text mining, AI can sift through and process all the relevant information found on the Internet and social media sites to deliver personalized solutions to both customers and businesses. Algorithms can sift through the search history of a customer and all their social media accounts and together with cognitive computing (which extracts meaning out of human language, and recognizes and learns human behaviour) can find patterns in consumer behaviour.
Almost a quarter century ago, a book was written about how organizations would focus on share of customer as opposed to share of market, building a personalized collaboration driven by big data. With advanced analytics, banking may finally getting close to realizing this vision. In 1993, a then revolutionary book, "The One to One Future: Building Relationships One Customer at a Time" was published, proposing the idea that as technology makes it affordable to track individual customers, marketing shifts from finding customers for products to finding products for customers. According to the authors, Don Peppers and Martha Rogers, Ph.D., a company could use technology to gather information about, and to communicate directly with, individuals to form a commercial bond. The book became a bestseller, and was on every marketer's bookshelf … almost a quarter century ago.
Much of the strategic focus in the digital economy thus far has revolved around getting better insights into consumers. B2C firms have been the leaders in customer analytics initiatives. E-commerce, mobile commerce, and social media platforms have enabled businesses to better sculpt marketing and customer support initiatives and customer services. Extensive data and advanced analytics for B2C have enabled strategists to better understand consumer behavior and corresponding propensities as visitors and purchasers conduct daily activities through online systems. But there is also an emerging capability to gain insights on business customers.
Both artificial intelligence and social media marketing are getting a lot of attention nowadays because of their huge benefits and growth potential. They are benefiting both businesses and normal people in various ways. The investment has already been growing in the artificial intelligence, and the investment is further expected to grow by around 300%, according to the prediction made by the Forrester. Talking about the social media platforms, more than 2.5 billion people are already using various social media platforms as per the statistic. This is nearly a 1/3 population of the whole planet.
If LG has its way, the company's robots will soon be serving you breakfast, carrying your luggage, and cleaning your floors. Well, assuming they can overcome some pretty basic problems like not working, that is. The promise of a connected-robot future was made repeatedly Monday morning at CES in Las Vegas, with LG's vice president of US marketing, David VanderWaal, taking the stage to show off a line of AI-powered robots that are intended to both integrate with a smart home and work in commercial settings. Unfortunately for all The Jetsons fanboys out there, the biggest impression was made by what was left unsaid. VanderWaal first introduced CLOi, a small robot designed for the home, with an attempt at humanization.
Why do 97% of marketing influencers believe the future of digital marketing will involve human marketers working with machine learning-powered automation? Thought leaders in PPC, social and mobile marketing explain in this in-depth survey. Are disciplines such as search engine marketing, social and mobile marketing all trending towards a fully automated world where artificial intelligence (AI) robots take over our jobs? In a survey of top influencers in online marketing with expertise in paid search, social and mobile, 97% of respondents suggested that the future of marketing will actually be smart marketers working hand-in-hand with machine learning-based automation solutions. To help us understand the growing role of machine learning in marketing, we spoke with some of the top influencers in the space, including Michael Brenner (@brennermichael) of Marketing Insider Group, Serena Ehrlich (@serena) of BusinessWire, Adelyn Zhou (@adelynzhou) of TOPBOTS and Chris Messina (@chrismessina), creator of the hashtag - among others.