Artificial Intelligence Marketing & The New Tools Driving Innovation | FinalBoss

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In recent years, a quiet technological revolution has been unfolding, one previously relegated to the pages of science fiction novels where artificial intelligence (AI) is commonly portrayed as the over-powering menace to society’s freedom.

Today, AI technology has advanced to a point where major tech companies such as Google, Microsoft and other leading innovative brands are developing and releasing products built around this technology.  Wide-spread adoption is happening across dominating industries including gaming and music. Despite the visible progress, AI integration has been happening behind closed doors for a while as tech companies developed innovative and disruptive products.  The following are a few examples portraying the use of AI within well-known mainstream services on the market:

The AI technology that has been applied has mainly been narrow in scope, with applied algorithms training models on a narrow set of tasks (e.g. speech).  This type of AI technology is referred to ‘Narrow AI’.  However, the most recent disruptive AI software of CHAT GP uses what is called as ‘Deep AI’.  This term is applied towards machines that can think, comprehend, learn and apply intelligence to solve complex problems.

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Despite the most recent focus on ‘Deep AI’, a segment of the market participants continue to focus their attention on innovative products using ‘Narrow AI’.  These businesses are applying AI to innovate mainstream solutions across multiple sectors. 

This article explores how innovative software companies are leveraging AI technology to build digital marketing solutions that are disrupting traditional customer journeys.

AI Content Creators

Content creating software is now powered by AI technology.  This software leverages natural language processing (NLP) to read consumer trends and behaviours online, opening up new opportunities for product customization and personalization.

AI content writers apply NLP to generate personalized content (e.g. recommendations or personalized email campaigns) therefore rendering highly effective marketing campaigns.  The next evolution of NLP technology uses multiple NLP neural networks to produce next generation content writing AI software.

The smart technology of AI content writing is also used in conjunction with AI powered customer support chatbots and virtual assistants.  As an example, AI content writers are being utilized to produce catchy product descriptions online that are leveraged by AI customer support agents on live chats to generate highly relevant feedback to customers.  

NLP technology has made customer interactions with virtual customer service agents very natural.  Chatbots and virtual assistants’ ability to render highly realistic and personalized responses to customer queries delivers higher customer engagement.

AI Video Generators

AI video generators are the latest addition to the collection of AI powered tools.  This software uses NLP technology to deeply analyse consumer preferences and other datasets to deliver highly personalized and targeted video content. 

AI video generators deliver highly customized and targeted video content in a short period of time, delivering higher levels of customer engagement.  Different examples of how AI video generators enhance customer experience include:

AI picture generator software is another branch within the family of AI-powered cutting-edge software.  This image generating software allows users to create highly personalized and interactive visuals that include images, 3D models, paintings, digital art and drawings based on customer tastes and interests.  These generators are powered by algorithms trained on large datasets of images and video, giving them the ability to create visuals in different styles and techniques.

AI picture generators have a wide range of applications but are particularly useful for industries with a high demand for visual content, such as marketing and advertising.  Marketers are utilizing this technology to improve online consumer experiences, making them more engaging in a number of ways, including:

AI Autopost

AI Autopost is a technology that uses AI to automatically schedule and publish tailored content on social media platforms. It utilizes NLP and predictive analysis to understand consumer needs and preferences while interacting with users without the need for human input. This tool is highly effective for businesses and individuals managing social media marketing, as it allows them to create new forms of AI-powered customer engagement. Some examples of how AI Autopost can improve customer engagement include:

AI Text-to-speech

AI text-to-speech (TTS) technology uses NLP and machine learning to translate written text into spoken words.  The use-case for this tech is the provision of virtual assistance and accessibility features targeting visually impaired audiences.  This innovative tech brings with it accessibility, automation, personalization, and entertainment features that produce results in customer satisfaction and engagement.  The following are a few examples:

AI Graphics

AI graphics technology has developed exponentially, creating highly realistic and immersive graphics and interactive digital media. 

AI graphics merges AI technology with the visual creative capabilities of computer graphics.  AI in this context is applied for generative art to produce original animations and images through applied and trained algorithms.  One other form of rendering is real-time rendering where AI tech is used to bring more realism in the form of simulated physical phenomena such as lighting, shadows and reflections.

AI in graphics is also utilized to automate 3d modelling and texturing.  Highly engaging game environments are now possible with AI as games simulate highly intelligent behaviour of non-player characters and other features of a digital world.  Thanks to this technology, virtual reality (VR) has evolved into a highly immersive experience with realistic renders of environments and characters.

The following are a few examples of how marketers are leveraging this technology to produce highly interactive and personalized levels of consumer engagement.  

AI Search Engine Optimization (SEO)

AI SEO uses machine learning algorithms to analyse websites, predict search patterns, and optimize website content for better ranking on search engines.  This tool automates tasks like keyword research and link building leading to improved customer engagement.  AI SEO improves the user experience as follows:

What next frontier will AI-Powered Marketing Conquer?

As AI goes mainstream, businesses will continue to explore how to use it to drive growth, building on the successes of tech giants.  The future of digital marketing with AI tech looks bright as: