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“1. Intro
Artificial intelligence (AI) has been a buzzword in the tech industry for years. Since Facebook’s introduction of “Deep Learning” in 2012, the technology has made several leaps forward from traditional AI techniques that have been used in practically every application. Now, AI is a mature and effective tool for digital marketing and it’s not just delivering better results. It’s also democratizing the process of marketing digitally. Today, AI (Artificial Intelligence) is a mix of machine learning and cognitive computing that has the ability to be trained on data from many different sources and then apply those models to new challenges. This allows marketers to create real-time digital marketing systems that can adapt to market trends or follow up on specific customer needs all while receiving better performance than any other digital marketing channel.

2. What is AI?
Artificial intelligence (AI) is a type of artificial intelligence that is powered by software. It has many applications in fields such as machine learning, robotics, and software engineering. The term artificial intelligence was first coined by Herbert A. Simon, who coined the term artificial intelligence in 1956. It is a system that mimics some of the human cognitive abilities, such as imagination and reasoning, but with machines lacking the physical constraints and limitations of the human brain. A common misconception about AI is that it can replace humans in all work processes, which it cannot do; additionally, AI tools are limited to certain tasks due to their design and their application methodologies. This limitation can be managed by simply adding more powerful computer hardware and software to increase performance and/or capabilities of an AI system by adjusting its design or algorithms based on new data or new challenges being presented within a specific task. For example, if a task requires more memory than available memory on an AI system’s hardware can cope with then additional memory may have to be added or additional hardware components may have to be added to handle this task (e.g., additional RAM). In general terms another real-world application for AI may involve designing software for specific tasks with which it may not be possible for humans to do (e.g., spam filtering).

3. AI’s Potential in Digital Marketing
Artificial Intelligence (AI) has been effectively used in digital marketing since 2013, but we still don’t know a lot about its potential in digital marketing. For example, how AI can be used to:* Improve the quality of content production* Boost the conversion rate of user-generated content* Reduce the time and cost of data collection* Improve search ranking. The main reason for this is that AI algorithms have not yet been sufficiently tested on the world stage. There are different approaches for testing AI in digital marketing, which are listed below. Exploratory testing: Experiments are conducted to track how users interact with an application to understand how they interact with it over time. The goal is to understand things like the way people make decisions or use features that consumers are not aware of and can’t observe. This method improves upon conventional methods by taking into account more factors than just some attributes of a specific product or service. A good example of exploratory testing is Google AdWords’ experimental “Ad Experience Feedback Tool”, which was designed as a way for advertisers to test various aspects as well as their interactions with crowd-sourced data from Google Analytics and their own internal research on user behavior. The tool allows advertisers to test different ad formats, ad formats with different audiences, and ad formats that include real-time data from Google Search Console – all without having to implement new campaigns or spend any money on advertising costs. Kaggle competition : Competition allows both participants (i.e., competitors) and observers (i.e., potential customers) to compare and contrast results produced by one set of algorithms against another set of algorithms. This method consists of comparing two collections of algorithms against each other based on one common property – they must belong to the same class so that they can be compared effectively — e.g., if you want to compare two sets of algorithms that account for different qualities (such as size), then you would use a classifier that accounts for size but doesn’t account for qualities such as weight or volume; you would use an algorithm instead that accounts for both size and weight/volume; etc… A good example of this type of competition would be in comparing an algorithm created by Facebook against an algorithm created by Microsoft Excel within the context of tracking user engagement across Facebook pages using data from Facebook Analytics services; although these competitions can be competitive, there are no hard rules about what algorithm(s) should win them in

4. Examples of AI in Digital Marketing
Artificial Intelligence (AI) is the technology that allows computers to perform tasks that are typically performed by humans. AI has the potential to help companies automate processes, reduce costs, and improve efficiencies. When it comes to AI sometimes people think of it as a new technology or something that’s unique, but in reality most of the applications we associate with AI can be grouped under two main categories: Artificial intelligence (AI) and Machine learning. Artificial intelligence is a term that has been used since at least the 1890s. The concept of artificial intelligence was first introduced by Alan Turing in his book “A Computable Question” in which he describes a system that mimics human intelligence. This initial use was intended to show how computers could be used for tasks similar to those performed by humans. In the mid-1990s, the term “machine learning” was coined by researchers at Stanford University Applied Artificial Intelligence Laboratory (SAIL) as an umbrella term for various types of algorithms that could learn from data over time and recognize patterns even when there are huge amounts of data available for them to process. The application of machine learning algorithms can be particularly useful for marketing since they can identify trends in customer behavior and help marketers deliver more relevant messages to their customers through data mining techniques often referred to as predictive analytics. Since their inception, machine learning algorithms have helped businesses understand customer behavior by analyzing large amounts of data on Internet usage trends, social media activity and search activity among other things. Machine learning algorithms have also proved useful in areas such as content marketing, customer relationship management, e-commerce, app development, product development and many other areas. Machine learning algorithms are used across industries ranging from finance, insurance, healthcare and healthcare services, retailing, telecommunications, education, government and many other areas.

5. Use Cases of AI in Digital Marketing
Artificial Intelligence (AI), sometimes referred to as machine learning, is a branch of computer science that focuses on the learning, training, and deployment of intelligent machines or software agents. The term artificial intelligence is sometimes used in an inclusive sense to refer to all forms of machine learning, regardless of whether they are powered by hardware or software. The term artificial intelligence was coined in 1956 by John McCarthy and Herbert A. Simon, the founding fathers and co-authors of Artificial Intelligence: A Modern Approach. Following this development, AI is considered one of the most important areas of computer science. Innovation in AI relies on three things: a deep understanding of the application domain; a broad-ranging body of knowledge; and a comprehensive set of algorithms that are based on these concepts.

6. Conclusion
The goal of this article is to provide a working definition of AI in digital marketing. The term “artificial intelligence” refers to intelligent systems that are developed by humans. The goal of artificial intelligence is to produce systems that are capable of performing tasks not previously considered possible, or to provide new capabilities beyond those currently possessed by humans.AI in digital marketing has been around for years, with technology like Siri and Google Now. The difference now is that AI has become a common language among companies, their employees and consumers alike. In fact, the use of AI for digital marketing has increased significantly over the past few years. For example, IBM’s Watson was first introduced in 2010 and it won Jeopardy! back in 2011 (first human). It’s also been used in other areas like healthcare and education . In fact, many companies have decided to make it part of their core business strategy as they believe it could help boost the productivity levels or assist them with the sale rates on products or services they offer. What makes AI so powerful? To start with, this technology has been used successfully by businesses all across the globe because its power lies in its ability to process huge amounts of data quickly and efficiently. Unlike other technologies that have traditionally focused on specific tasks such as speech recognition, machine translation, object recognition etc., Artificial Intelligence can be applied broadly across different industries (such as medical or engineering) just by utilizing much smaller data sets which are spread over a wide range of variables (such as weather patterns). Another important reason why AI is growing rapidly is due to its ability to learn from experience. The more you repeat something similar for an extended period of time, the more effective it becomes at reproducing what you do often times without your input. This will result in greater efficiency and better results for you which might just be enough incentive for anyone who is looking to use AI-powered technologies for their business operations. The next reason why online advertising serves as a powerful tool for any company designing an online marketing strategy is because it can be run on a set schedule using artificial intelligence systems which don’t have any human input at all. This makes them highly effective at predicting what will work or what won’t work based on the content available on websites visitors visit instead of relying on subjective factors like emotions or personal experience.”