What is the future of AI in marketing?

By Daily News Reporter

AI marketing is achieving new advancements at a phenomenal speed. Here are some ways it’s reshaping businesses for the better.

Computer vision

Computer vision allows AI marketing tools to derive insights from non-text digital data available in the form of raw images. From powering optical character recognition (OCR) to analyze information and signatures in checks and recognize brand logos in videos, to extracting text from images for accessibly, computer vision is helping solve key business challenges every day.

In retail, computer vision can be used to identify imperfections in products in a manufacturing assembly line or to ensure shelves are always full. It also helps in improving biometric authentication with enhanced facial recognition to identify shoplifters, a customer or employee in distress and so much more.

AI chatbots

Conversational AI in the form of virtual agents and intelligent chatbots is set to change traditional marketing. AI chatbots marketing can put brand visibility in hyper drive with targeted messaging. They can boost engagement with existing customers and prospects to generate leads and also analyze their data to provide you with fine-grained insights for predictive and prescriptive marketing.

Virtual agents also streamline customer requests, ensure 24/7 customer support and route conversations to the appropriate team for the best results–all resulting in increased customer satisfaction and loyalty.

Predictive and prescriptive AI

Predictive and prescriptive analytics are already making AI marketing tools essential for marketers. Prescription analytics sorts social listening data into categories based on consumer motivations, mindsets and intentions. This information from conversational analytics enables you to develop highly targeted ads, posts and emails that will yield optimal results. A great example of this is how streaming services use your previous choices to provide you with content relevant to your interests.

Predictive analytics enables you to go further so you can anticipate outcomes and develop a business strategy well in advance based on past voice of customer data. This means you can build long-term business models, conduct risk evaluations, expand market acquisitions, and improve product designs and more.

Responsible AI

AI marketing also takes into account the fact that existing AI models are not perfect. To achieve true advantages and accuracy in deriving business insights, AI in business needs to be fair, secure, reliable, inclusive and transparent. This means that AI tools need to be developed more thoughtfully and trained with diverse data to remove biases.

There are also data privacy, copyright and governance rules being developed to ensure that ethical and societal implications are considered in order to be fair to humans and AI development companies. This means social networks and social marketing teams need to be cognizant of how they employ AI tools to collect customer data, create content, show personalized ads to influence purchase behavior or for any other reason.