artificial intelligence
AI has gone mainstream, and it’s slowly creeping into the day-to-day lives of marketers. Although this technology is still in its early stages, it’s already changing how we work. With the help of AI-powered tools, marketers can automate a variety of tasks, from drafting email subject lines to scaling entire marketing campaigns. If you’re curious about where AI is going — and how you can leverage it — we’ve listed six AI predictions to watch in 2023. 1. AI will give content marketers a significant lift. Sure, artificial intelligence isn’t close to writing the next New York Times best seller. But it can streamline many content marketing tasks. Specifically, it can give marketers a lift in the writing process. For example, picture a content marketer stuck in the content ideation stage. Instead of waiting for inspiration to strike, she inputs a prompt into an AI chatbot — such as, “Provide a
Artificial intelligence technology has come a long way since the days of IBM’s Deep Blue, a computer designed to play chess against humans. Nowadays, AI software can improve existing workflows, predict customer behavior, and do much more. AI is rapidly shaping the marketing landscape. Your team will need to adapt its tech stack to keep up with the competition. Let’s look at what AI is and how you can use this technology to save time, improve the quality of your leads and, ultimately, make better sales. Table of Contents What is AI? The Benefits of AI How does AI work? The Four Concepts of AI How to Create Basic AI AI Use Cases for Marketers AI can replicate human discernment and make real-time decisions. In other words, artificial intelligence is programmed to think, act, and respond just like a real, live human. AI is not to be confused with automation.
Every minute, 240,000 images are shared on Facebook, 65,000 images are uploaded on Instagram, and 575,000 tweets are posted on Twitter. Simply put, tons of user-generated content are posted in various forms daily, and moderating what finds its way to your brand’s online platform can be overwhelming and tedious — unless you leverage AI content moderation. AI can optimize the moderation process by automatically classifying, flagging, and removing harmful content. To help you determine how your brand should leverage AI content moderation, let’s walk through what content moderation is and the different AI technology available. What is content moderation? Types of content moderation How AI Content Moderation Can Help Your Brand It’s common for AI content moderation to implement these guidelines. Now that you know what content moderation is, let’s explore the different types of content moderation and how AI can play a role in scaling the process. Types of
Our 2023 Marketing Trends Report found that data-driven marketers will win in 2023. It makes sense, but data analysis can be challenging and time-consuming for many businesses. Enter AI analytics, a time-saving process that brings marketers the answers they need to create data-driven campaigns. In this post, we’ll discuss: What is AI analytics? How to Use AI in Data Analytics Benefits of Using AI Analytics Business Applications of AI Analytics Limitations of AI Analytics As with all machine learning, AI analytics gets more precise and accurate over time, especially when trained to learn industry preferences to contextualize results to individual business needs. AI analytics is sometimes referred to as augmented analytics, which Gartner defines as “The use of enabling technologies such as machine learning and AI to assist with data preparation, insight generation and insight explanation to augment how people explore and analyze data in analytics and BI platforms.” How
Video has become a cornerstone of modern marketing, landing front-and-center in many marketing strategies. Yet, despite being an ROI powerhouse and top lead generator, video is a hard medium to pull off. To state the obvious, video creation isn’t quick. On average, it takes marketers two weeks to create a video from start to finish. But what if there was a way to streamline the process — to quickly come up with ideas and execute them in a fraction of the time? The solution could be here already, and it’s with artificial intelligence. Here, I spoke with Chris Lavigne, Head of Production at Wistia, to learn how AI is changing the way we create videos, and how it can power your next marketing video. How AI is Changing Video Marketing Imagine creating a video without writing a script or picking up a camera. Thanks to new artificial intelligence (AI) and
Artificial intelligence and machine learning have been in the spotlight lately as businesses are becoming more familiar with and comfortable using them in business practices. Although often discussed together, AI and machine learning are two different things and can have two separate applications. Here’s everything you need to know about the difference between artificial intelligence and machine learning and how it relates to your business. Table of Contents: What is artificial intelligence? What is machine learning? Difference Between Artificial Intelligence and Machine Learning Capabilities of AI and Machine Learning Benefits of AI and Machine Learning What is artificial intelligence? Artificial intelligence is programming computers to complete tasks that usually require human input. A computer system typically mimics human cognitive abilities of learning or problem-solving. What is machine learning? Machine learning is when computers sort through data sets (like numbers, photos, text, etc.) to learn about certain things and make predictions. The
The race to create quality, insightful content is only becoming more difficult for marketers. It’s already a challenge to secure a high-ranking article on Google — and it’s even harder when your business is newer or lacks authority on the search engine. In 2023, many businesses are looking to leverage more tools to increase content output and improve SEO, and AI-generated content is a popular solution. In this post, we’ll discuss the pros and cons of AI-generated content. But before diving into them, let’s first define what it is. Artificial intelligence software can pull pre-existing information from search engines and create unique content from people’s search queries on different keywords, phrases, or topics. Our colleagues in the HubSpot Podcast Network dive into a popular AI tool, Chatgbt, and explain how you optimize it to improve your marketing efforts, click below to give it a listen. How To Delegate Your Work
The world of artificial intelligence and machine learning is expanding, and marketers should pay attention. AI is being implemented in nearly every industry to improve business processes, and the data surrounding this tech are staggering. To help you better grasp AI’s most recent advancements, we’ve compiled a list of interesting AI statistics to consider before you use it for your own company strategy. And if you’re in a pinch, jump straight to the section that you need. Interesting AI Statistics AI Adoption Statistics Marketing AI Statistics AI Chatbot Statistics Attitudes Toward AI Statistics Interesting AI Statistics To understand the importance of AI, you have to look at it from a broad perspective. Here are some stats about the global artificial intelligence market, and which companies are prioritizing the technology. 1. The market for artificial intelligence (AI) has a current market value of nearly 100 billion U.S. dollars and is expected
ChatGPT has skyrocketed in popularity — it grew to 1M users in just five days. ChatGPT is a conversational AI, and its celebrity comes at a time when many businesses are adopting similar time-saving tools into their marketing processes. This post will go over everything you need to know about conversational AI, including: What is conversational AI? Conversational AI vs. Chatbots How does conversational AI work? Examples of Conversational AI Benefits of Conversational AI Challenges of Conversational AI Conversational AI Statistics At its core, it applies artificial intelligence and machine learning. Common examples of conversational AI are virtual assistants and chatbots. Conversational AI vs. Chatbots Conversational AI and chatbots are often discussed together, so knowing how they relate is important. Chatbots are an application of conversational AI, but not all chatbots use conversational AI. Most chatbots are rule-based, where they’re preprogrammed with specific canned responses and scripts and can’t handle
Artificial intelligence continues to be a hot topic within the marketing industry. The market for AI in marketing will likely grow to $107.5 billion by 2028, up from $15.84 billion in 2021. As the technology’s role in marketing expands, you’ve probably heard the terms “deep learning” and “machine learning,” — but what do these terms mean? Here’s what marketers need to know about deep learning and machine learning. What is Machine Learning? 3 Common Ways Marketers Use Machine Learning What is Deep Learning? 3 Common Ways Marketers Use Deep Learning The Difference Between Machine Learning and Deep Learning An example of machine learning is speech recognition. Machine learning can translate speech into text; software applications can convert live voice and speech recordings into text files. Voice search, voice dialing, and appliance control are all examples of machine learning in speech recognition. So if you’ve ever listened to your favorite song