Abstract

The increasing interest in Artificial Intelligence’s impact on Social Media Marketing creates huge opportunities for software providers, whose innovative technologies would be broadly implemented by marketers. This article outlines the results of an exploratory research focused on 100 Social Media Marketing experts (digital agencies’ owners, marketers and freelancers) that assessed the forthcoming AI Media software capabilities, based on social media analytics, reflecting audience, image and sentiment analyses. The goal of this paper is to analyze the ranking of twelve capabilities proposed for the future AI Media software, as they were perceived by the respondents included into the research sample.

Highlights

  • We are witnesses of fast-growing IT solutions, based on machine learning algorithms and neural networks, linked to social media predictive analytics’ needs

  • The Artificial Intelligence (AI) tools provide support to social media marketers in their quest to optimize audience, image and sentiment analyses, by identifying the channels used by top brands that have been recognized for their social media efforts and the customer engagement with social media [2]

  • The primary challenge of the future AI Media software, which will embed deep learning algorithms and convolutional neural networks to recognize logos of brands or companies involved in social media content, is to address the needs of Social Media Marketing experts in terms of expected capabilities

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Summary

Introduction

We are witnesses of fast-growing IT solutions, based on machine learning algorithms and neural networks, linked to social media predictive analytics’ needs. Marketers can implement a wide range of web-based software solutions regarding the campaigns’ execution in social media, they are not fully aware about the benefits of AI tools in the deep understanding of their audience, competitors, and social content positioning. When it comes to AI Media as a machine learning application – the main outcome of the research project entitled Future Web, three main parts, with very different.

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