Guide to: Artificial Intelligence (AI)
There is one topic that seems to be top of mind for most in marketing and the rest of the business world. Let’s explore it in a variety of ways. Artificial Intelligence (AI) has proven to be a groundbreaking innovation that has revolutionized different industries. One of the industries that have seen remarkable change through AI is marketing. AI has provided marketers with the tools and resources that enable them to reach their target audience in effective and efficient ways.
Artificial Intelligence (AI) refers to the ability of machines to perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision making, and language translation. Machine learning is a branch of AI that trains machines to identify and act on patterns in data. Deep learning is a subset of machine learning that uses neural networks to learn and improve from experience. These technologies allow AI systems to analyze vast amounts of data and make predictions based on that data.
- Why is AI important for marketers?
The sheer volume of data that businesses collect is overwhelming. AI can help marketers glean insights from that data and use it to improve customer experiences. For instance, companies like Amazon and Netflix use AI to create personalized recommendations for customers. AI can also help marketers automate repetitive tasks, such as A/B testing and email marketing campaigns, freeing up more time for creative work. - How is AI being used in marketing?
AI has a wide range of applications in marketing. Chatbots, which use natural language processing to understand customer queries, are a popular example. Many websites now have these bots that can answer common customer questions and route queries to the appropriate department. AI-powered content creation tools can also help marketers generate product descriptions, personalized emails, and social media posts. In addition, AI can be used for predictive analytics, such as predicting which customers are most likely to churn or identifying which products will sell the best in a particular region.
Most Relevant Articles
For further reading, try these articles first:
Forbes: Marketing Operations in the Age of AI
Enabling Your Business with a Standardized Approach to AI
The Evolution of Customer Expectations in the Age of Generative AI
Forbes: Upping Your Generative AI Game
Artificial Intelligence Relies on Good Data as its Foundation
Books
The Agile Brand Guide: Generative AI by Greg Kihlström
House of the Customer by Greg Kihlström
Featured Podcast Episodes
Generative AI Platforms
To see a full list of platforms, you can visit our Platform Directory.
From our Directory:
Bard
Bard, considered Google’s response to ChatGPT, is a chatbot and content generation tool that runs on LaMDA, a transformer-based model that Google launched a couple of years ago. The tool is currently considered a Google Experiment and is only available…
Cohere Generate
Cohere Generate is a text generation solution from Cohere, a startup with leadership members who contributed to Google’s Transformer paper. Many of the use cases advertised on Cohere’s site focus on product management and sales, digital marketing, and similar goals, but…
Synthesia
AI video creation platform that allows users to create videos based on their own scripted prompts. From there, the tool is able to use its library of AI avatars, voices, and video templates to create a realistic-looking and sounding video.…
Stable Diffusion
Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. It is primarily used to generate detailed images conditioned on text descriptions, though it can also be applied to other tasks such as inpainting, outpainting, and generating image-to-image translations guided…
Summary
Artificial intelligence is not just a buzzword, but a technology that is already transforming the marketing industry. From personalization to automation, AI is changing the way marketers work and interact with customers. While there are downsides to the technology, such as privacy concerns and job losses, the potential benefits are too great to ignore. In the coming years, we can expect to see even more innovative uses of AI in marketing.