Artificial intelligence is already making an impact on myriad products and services used not only by consumers, but also by businesses. Soon, a company’s ability to remain competitive will necessitate that they incorporate AI tools in an ethical way, particularly those that improve processes, and save time and money. While human beings will be necessary for a long time to create strategies that are ethical and respond appropriately to never-ending ambiguity, artificial intelligence will be invaluable in automating the implementation of those strategies.
The AI marketing landscape is evolving quickly and is now being used at many different stages. While none of these tools has yet reached peak effectiveness, and some have failed along the way, you can gain a better understanding of what AI will eventually be able to accomplish, and how its strengths and weaknesses are affecting business today.
Tailor Brands builds logos and designs for promotional products and social media campaigns. After sharing your company name, a short description of your business, and your preferred font and colour choices, the technology creates a sampling of designs for you to choose from. You might be wary of trusting image design to AI but if you consider some designs created by humans, you might see that the risk is not too different.
My Handy Design on Amazon uses AI technologies to craft images for cell phone covers. As with all Amazon products, the covers can be voted up or down. These votes in turn teach the system which types of designs people like and dislike.
Walter Thompson Canada and Thunder use programmatic to create ads that are uniquely suited for the audience at hand. A single ad is designed which is then refined in innumerable ways to suit things such as the local geography.
Duolingo serves its purpose well. As a language instructor, it offers users a set of scenarios, from restaurants to taxi services to police officers, to help people learn a new language with practical scenarios. By removing major barriers to learning, such as being embarrassed to speak in front of people, Duolingo speeds up the learning process.
Microsoft’s Tay.ai taught us an important lesson that AI with zero human intervention can be problematic. This chatbot was created to watch how it learned language but by failing to monitor and impart ethical instructions, the bot learned to be racist. It was a failed experiment.
Nadia is a chatbot that has dedicated her ‘life’ to helping people with disabilities. The Australian government built Nadia to help people with disabilities gain easier access to insurance and health information.
Sephora AI hopes to improve the customer relationship by offering a chatbot that gives makeup tips and product reviews. It can even suggest products that are uniquely suited to your skin tone, and personal likes and dislikes.
Vidora uses AI to automate and optimize business processes. Data analytics systems respond to your questions and offer suggestions for identifying people who are likely to churn, desired features that should be outlined in an upcoming email, or whether someone is about to purchase a product.
CaliberMind helps companies communicate with their clients better through the analysis of sales, marketing, and customer data.
Albert is a marketing platform that drives autonomous digital marketing campaigns for global brands. It acts on insights from massive amounts of data to eliminate manual and time-consuming tasks that were once limiting factors. It conducts media buying, audience targeting, cross-channel execution, testing and optimization, and analytics and insights.
Motiva AI creates automatic messages that adapts to each customer. It helps to discover segments, and creates campaigns that learn and adapt.
fiind helps businesses find customers by tuning professionals into buying signals. The AI system offers predictive lead generation, lead scoring, content marketing intelligence, and sales intelligence.
Adobe Target helps companies with website conversion rates, personalization, and mobile app optimization. It helps them experiment quickly with A/B and multivariate testing to create personalized experiences.
Affectiva uses computer vision, machine learning, and deep learning to train algorithms that analyze subtle facial and vocal expressions to identify human emotions. They use these tools to help companies better understand consumer perceptions towards products and services.
Glimpzit uses AI to analyze unstructured data such as pictures, videos, and text to gain customer intelligence, auto-generate marketing content, and help with customer engagement.
Hundreds of AI marketing tools are currently available to help you automate your marketing strategy, and thousands more are still being developed. Regardless of which business objective you are striving to meet and whether you decide to test an AI system to make it happen, success will only result if the accompanying strategy is wise and human oriented. I’d love to help you get there.