Integrating Artificial Intelligence & Digital Marketing

Artificial Intelligence (AI) is transforming the nature of almost everything that is connected to human life. For example, employment, warfare, privacy, security, economy, communication,  ethics, healthcare, etc. However, we are yet to witness its evolution in the long term, whether it’s leading mankind towards making this planet a good place to live or a place that is full of disaster. Every technology has its pros and cons, but the advantages always outweigh the disadvantages for the technology to survive in the market.

The definition of AI

The discipline of artificial intelligence (AI), which is expanding quickly, focuses on creating computer systems that are capable of learning, solving problems, making decisions, and interpreting language, among other functions that typically require human intelligence. From healthcare to transportation to education, AI has the potential to completely transform many facets of our lives.

The two basic types of AI systems are narrow or weak AI, which is created to complete a single task, and general or strong AI, which is created to be able to complete any intellectual task that a human can. Currently, recommendation algorithms, virtual assistants, and self-driving cars are some of the few applications that use narrow AI systems. On the other hand, strong AI is still essentially a science-fiction concept, although many experts think it will eventually become a reality. These artificial intelligence presentation templates give more details and help to spread knowledge about the topic easily.

The usage of AI in today’s world

Digital marketers are always concerned with how to effectively deliver their messages to their target audience, including deciding on the right time to send the message and which channels to use. In the past, marketers had limited access to data to help guide these decisions, but with the growth of big data, they now have access to vast amounts of information. The handling of big data is clearly understood with the help of these big data presentation slides. However, the sheer volume of data can be overwhelming and difficult to process, making it difficult for managers to extract meaningful insights.

Artificial intelligence (AI) can help by automatically sifting through a large volume of data to find patterns and trends, becoming more efficient and accurate over time. As a result, managers can focus on higher-level tasks such as innovation and brand expansion, while AI handles the implementation of online marketing campaigns.

And this isn’t just a vision for the future. Digital marketers already have access to AI, which is improving their and customers’ lives daily.

  • Search & Filtering: In 2015, Google introduced RankBrain, an artificial intelligence (AI) engine for analyzing search results. Rather than relying on predetermined, metric-based rules, the search algorithm uses machine learning to continuously improve and refine its understanding of the relevance of different search results. This allows it to route users to the most relevant pages and provide direct answers to specific questions, such as “How old is Jennifer Lopez?”
  • Natural language processing (NLP) – Refers to a computer’s ability to understand and interpret human language in a way that allows it to infer meaning and provide appropriate responses. For example, if you use the Swiftkey app on your phone, you are using NLP technology. By being able to understand and interpret the thoughts and views of customers rather than just individual words, brands can more effectively customize their responses to meet the needs and wants of their customers.
  • Chatbots: Artificial intelligence (AI)-powered chatbots are becoming increasingly popular as a replacement for traditional live conversations, especially in customer support and website engagement. These chatbots are able to provide round-the-clock service, save and track customer data, handle multiple queries at once, and maintain a consistently friendly demeanor. They have the potential to significantly improve the customer experience.
  • Predictive analytics – Predictive analytics involves using artificial intelligence (AI) to analyze huge volumes of data in order to identify patterns in user behavior and predict future trends. This can be used by marketers to create targeted marketing campaigns. For example, Google’s DoubleClick manager is a tool used by AdWords professionals that uses AI to suggest strategies based on the desired audience and campaign objectives. Similarly, the Adobe predictive analytics tool analyzes data to inform business decisions based on predetermined goals, using data mining to build and validate models.

Which way is it going?

  • Curating new content: In 2016, the Natural Language Generation (NLG) engine Wordsmith was used to produce 15 billion articles that were written in a style that sounded like human speech. There are other AI-powered applications, such as Acrolinx, that are also used to generate content for companies like Facebook, Nestle, and Caterpillar. It is estimated that by 2018, 20% of commercial content will be produced by machines. While currently, AI is mostly used to create data-rich content like market trends or quarterly reports. It is possible that it could one day be used to create more literary works at the level of authors like Philip Roth or Malcolm Gladwell.
  • Customization: In the past, ads were often generic and not tailored to the individual user. However, with the use of artificial intelligence (AI), it is now possible for customers to receive ads that are based on their specific location, demographics, browsing history, and other factors. This allows websites to feature only ads that are relevant to the user, improving the overall user experience and increasing user engagement with the ads. As a result, businesses can potentially save money on advertising costs and see an increase in conversion rates. AI is making it possible for digital marketing to truly create a personalized experience for each individual user or an “audience of one.”
  • Identification of images: Amazon Rekognition is a technology that uses artificial intelligence (AI) to identify objects and recognize faces and the emotions associated with them. This can be useful for marketers in understanding consumer patterns, behaviors, and demands. By analyzing images, AI can infer information such as facial expressions, location, time of day, and buyer demographics. This is especially useful given the popularity of visual content on social media, as the world shared over 3.25 billion photos per day in 2016.

Final Thoughts

Artificial intelligence (AI) can help businesses and marketers save time and money by automating monotonous tasks and providing more accurate data through analytics tools. Businesses can present their strategy and marketing plans with the help of these fully customizable business presentation templates. Digital marketers can use AI to optimize their strategies and campaigns, such as by using dynamic pricing or selecting ad copy based on the characteristics and demographics of the user.

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