Artificial Intelligence
Artificial intelligence (AI) is already becoming entrenched in many facets of everyday life, and is being tapped for a growing array of core business applications, including predicting market and customer behavior, automating repetitive tasks and providing alerts when things go awry. As technology becomes more sophisticated, the use of AI will continue to grow quickly in the coming years.
Much of today’s hype around artificial intelligence (AI) is concentrated in a few areas: enabling futuristic applications like self-driving cars, helping conversational interfaces like chatbots come to life, and making business more efficient and predictable. But in this episode of “Behind The Numbers,” we focus on how AI is being used to spur creativity in areas like art, music and storytelling.
Artificial intelligence (AI) is helping bring discovery back to the travel research process. Phil Koserowski, vice president of interactive marketing at The Leading Hotels of the World (LHW), told eMarketer's Maria Minsker how.
easyJet uses artificial intelligence (AI) technology to help stock and reduce food waste in its planes. Alberto Rey Villaverde, the airline's head of data science, told eMarketer how it works.
Last year, nearly half of US executives said their company was in the deployment phase of production for predictive analytics. However, their efforts haven’t translated to successful deployments a year later, research found.
More client-side marketers and agency professionals are investing in predictive analytics technology, according to research. Proponents of the emerging discipline suggest they use the toolset to help improve engagement, develop insights and personalize their communications with customers.
A typical brand now has a staggering amount of data in its arsenal, and the marketing department’s goal is to use that data to deliver more effective results than ever before. Enter predictive marketing, which uses machine learning to deliver more accurate insights about how best to encourage sales from existing and new customers. Topics in this webinar include: What marketers are doing with predictive models; How many companies have moved toward predictive marketing, and how far along they are; What the return on investment (ROI) of predictive marketing can look like; Which challenges are proving difficult for adopters of predictive marketing.
Antti Pasila, founder and chief strategy officer of advertising automation company Kiosked, spoke to eMarketer about why advertising and artificial intelligence go hand in hand.
A typical business-to-business (B2B) brand now has a staggering amount of data in its arsenal, and the marketing department’s goal is to use that data to deliver more effective results than ever before. Enter predictive marketing, which uses machine learning to deliver more accurate insights across the funnel to encourage sales from existing and new customers.
Justin Cutroni, Google analytics evangelist, discusses the Google Analytics 360 marketing cloud suite and how the company approaches machine learning.
Roughly half of marketing and media executives in North America said they believe predictive analytics and modeling to be one of the most helpful technologies for getting more value out of data, August 2016 research found.
Martin Kedbäck, channel manager at Swedbank, spoke to eMarketer's Maria Minsker about how the bank's virtual assistant, Nina, has become a solid self-service channel that leaves agents more time to close deals.
TD Ameritrade's AJ Mazza, director of client marketing, advertising and brand management, and Dedra DeLilli, director of social media and corporate sponsorships, advertising and brand management, discuss how the investment bank uses artificial intelligence technology.
Asaf Jacobi, president of Harley-Davidson's New York City division, talks about the brand’s experience with artificial intelligence.
Two in three senior business decision-makers in the UK think artificial intelligence (AI) will help them make the customer experience better by providing them with new data, and half hope to automate tasks so their human workers can add value in new places. But there are many concerns as well, including about the nature of AI itself.
Many IT executives in North America currently have—or plan to have—machine learning programs in place, according to research. Predictive analytics is the No. 1 implementation, but execs have dozens of use cases on their agendas.
eMarketer analyst Jillian Ryan shares her advice for marketers new to predictive technology.
David Raab, principal consultant at Raab Associates, told eMarketer what to expect from the onset of the age of artificial intelligence.
Josh Sutton, global head of the artificial intelligence practice at Publicis.Sapient, talks about the current state and future potential of using artificial intelligence for marketing and advertising.
Jason Widup, senior director of demand generation and marketing operations at Getty Images, explains how the business-to-business (B2B) company uses predictive capabilities to identify opportunities in its pool of current customers and beyond.