artificial intelligence
Artificial intelligence is getting a lot of traction in the marketing world. According to Statista, 80% of industry experts integrate some form of AI into their online marketing activities. However, if you’re like me and are unfamiliar with AI beyond what you’ve seen in science fiction stories like I, Robot or Black Mirror — you’re probably wondering what AI is and how to use it in marketing. Is AI really what it looks like in the movies? This article will explore the definition of AI, the different types of AI, and how AI can improve marketing processes. What is artificial intelligence? How does AI work? What are the four types of artificial intelligence? How Marketers Can Use AI The Pros and Cons of AI The Future of AI in Marketing So now you know what AI is, let’s explore how it functions. How does AI work? AI combines large sets
A couple years ago, artificial intelligence still seemed like a somewhat far-off, sci-fi version of reality. And it certainly didn’t seem like something that would completely transform how marketers work within the next few years. But in 2023, generative AI is officially here, and it’s only growing. In fact, the generative AI market size accounted for over 7 billion USD in 2021, and it’s projected to occupy more than 110 billion USD by 2023 — growing at a CAGR of 34.3%. All of which is to say: Generative AI is poised to completely disrupt — and elevate — business’ content strategies in 2023 and beyond. And disruption of any kind can be scary. What does generative AI mean for the future of marketing? Will it replace us, or elevate us? And what about SEO? Will Googling be replaced with AI chatbots — and what does all that mean for content creation?
On November 30, 2022, OpenAI launched a conversational AI service called ChatGPT. ChatGPT blew up in popularly practically overnight. Within five days, it had already reached one million users. By comparison, it took Facebook roughly 10 months to hit one million users. All of which is to say: There is clearly demand for these conversational AI services. And both Google and Microsoft have taken note. While both companies have invested in AI for years, it seems that ChatGPT has sparked an urge for Google and Microsoft to speed up the launch of their own conversational tools. On February 6, Google announced it’s own conversational AI service, called “Bard”. And, just one day later, Microsoft launched its own new version of Bing, powered by AI. And, from a consumer perspective, I get it. These tools are fun. Consider the adorable answer I get to the query, “Can you tell me a joke
Artificial intelligence (AI) has been in the spotlight lately as many companies and brands like Zara and H&M incorporate AI into their business models. As a marketer, you may wonder if this is cause for concern. Is AI going to take over our jobs? In reality, AI can actually make marketing easier and more efficient for marketers via deep learning technology. But what is deep learning? How does it work? And how can it be applied to marketing and sales in your company? Here is everything marketers need to know about deep learning and the helpful role it can play in the marketing industry. What is deep learning in artificial intelligence? Machine Learning vs. Deep Learning Example of Deep Learning in Marketing and Advertising Training of the Neural Network How Marketers Can Use Deep Learning Embracing Deep Learning in Marketing Similar to how humans learn from experience, the deep learning
The use of artificial intelligence in business is growing, and marketers are eager to learn how to leverage it for new and unique campaigns. Creating high-quality imagery and collateral is a time-consuming and expensive process, but with the introduction of AI imagery, businesses can save money and time. However, the sudden popularity of the software has raised concerns about its ethicality in the creative community — questioning if its use should even be encouraged in the first place. In this post, we’ll define AI imagery and tell you what you should know before incorporating it into your business strategy in 2023. And if you’re short on time, use these jump links to get the information you need: What is AI Imagery? Pros and Cons of AI Image Software AI Image Generators AI Image Alternatives AI images are the new, trendy way to create visually appealing images of search queries —
Artificial intelligence is continuing to make an impact on the business world. In fact, McKinsey predicts that up to $2.6 trillion in value will be unlocked by AI in marketing and sales alone. But, if you’re less tech-savvy, you might be intimidated by terms like “artificial intelligence,” “machine learning,” and “algorithms.” You probably also hear about these technologies and think to yourself, “My business definitely can’t afford that.” This makes sense. As a good marketer, you should be skeptical about high-priced tech. After all, sometimes it’s hard to tell how a tool works and if it’s actually worth your money. Additionally, if you’re less familiar with AI, it might seem like it’s only necessary for industry-leading behemoths. There are so many misconceptions about AI in marketing that my colleagues and I launched the Marketing AI Institute. At the organization, we aim to make AI approachable and actionable for marketers. To
Marketing is about reaching people. But far too often, marketers spend their time performing repetitive, robotic tasks that could be better handled by software. Artificial intelligence (AI) is poised to substantially change this. According to research from McKinsey, the marketing and sales sectors have the largest possible benefit from implementing AI-based solutions in the coming years, with up to $2.6 trillion in increased value. Here are three ways modern marketers are using artificial intelligence (AI) tools to create more effective lead generation strategies and get them back to what they do best: Connecting with people. How to Leverage AI for Lead Generation Artificial intelligence makes marketers more efficient by shortening the time it takes to move from research to outreach. AI tools can be trained to spot patterns and draw conclusions that might otherwise need a human expert to spotlight. 1. Create Ideal Customer Profiles (ICPs) that match your biggest
Discover how AI marketing enables customer-centric personalization so you can engage customers and drive business outcomes.