Share these talks and lectures with your colleaguesInvite colleagues
Personalisation the artificial intelligence way
The era of artificial intelligence (AI) has arrived. Companies all over the world are championing their latest progress with AI, machine learning and deep learning, even though most of it is far short of anything that could be described as a breakthrough. Unfortunately, this excitement does not always translate into quantifiable success — it can take up to six months to go from concept to production, and even then, only one in three AI projects turns out successful. These odds might be low, but the effort is well worth it as the potential payoff could be huge. This paper describes five different types of AI — sound, time series, text, image and video — and illustrates various ways that AI can be used, including in customer relationship management, e-commerce, customer recommendations, security, voice assistance and natural language processing for customer understanding. This article argues that AI will become the basis for a level of customer personalisation that will not only be recognised but soon be demanded by fickle customers everywhere. As the paper will show, it is imperative for brands to utilise AI in their marketing because it allows them to have both a single view of the customer as well as a single view of their media.
The full article is available to institutions that have subscribed to the journal
Andrew Pearson is the Founder and Managing Director of Intelligencia Limited, a leading implementer of artificial intelligence, business intelligence, customer experience, data integration, digital marketing and social media solutions for the gaming, finance, manufacturing, travel and retail industries. He has written a number of books on these subjects, as well as penned articles for such publications as ComputerWorld HK, the Journal of Mobile and Social Media Marketing, The Mobile Marketer and Forbes ME. He is also a sought-after speaker, and lectures on such topics as artificial intelligence, machine learning, casino and mobile marketing, analytics and social media.