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The Role of AI in Digital Marketing | Artificial Intelligence (AI) | Marketing, Business

The Role of AI in digital marketing. artificial intelligence and augmented reality are an integral part of the digital marketing landscape. AI and its apps.

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The Role of AI in digital marketing Artificial Intelligence (AI) Marketing, Business

The rage of social media has led to the emergence of social networking. With that, the competition to engage the audience on online platforms and entice them has become fierce. Brands are adopting novel strategies to enhance customer experience and increase brand value.

The advent of technology and a myriad of innovations has reinvented the marketing industry. Amongst many, artificial intelligence and augmented reality are an integral part of the digital marketing landscape. AI and its applications have not left any sector untouched, and its forms are far beyond mundane.

Let’s understand its role in digital marketing:

1. Chatbots

It’s a real test of patience when you want to reach out to customer executives, and your call is long-awaited in the queue. One, you end up wasting a lot of time waiting, and two; it affects the brand’s or company’s image.

Kudos to the power of AI, semantic recognition, language processing, and voice conversion technology led to the development of chatbots to enhance the customer experience. Now, customers can get quick resolutions and responses.

Chatbots can seem more human-like and answer customer’s queries, track and fulfill orders, and also help solve simple issues. The primary benefit of these bots is that they are available round the clock for customers, which can increase satisfaction overall.

Moreover, bots can cater to multiple customers at a time, hence switching from traditional one-to-one consumer service. You can get information in real-time and get assistance even during non-office hours, thus making chatbots efficient.

2. Customer relationship management (CRM)

The Role of AI in digital marketing Customer relationship management (CRM)

CRMs are data repositories of an organization. It is one of the most sought after software that facilitates businesses to aggregate and interpret data on a centralized platform. The integration of CRM with AI has enhanced its efficiency and amplified its abilities.

Besides centralizing disparate customer databases, AI also eliminates the need for manual data entry for employees, saving a lot of their time.

Using smart technology, AI can perform sentiment analysis and analyze conversations and assess customer’s emotional states. This helps them give appropriate reverts to customers. What’s more? AI can also detect data irregularities, duplicates, and other errors that compromise the CRM data and can impact customer relations.

Not only makes it help employees, but it also helps marketers manage their creative talent pool who primarily drives the sales using a Professional Services Automation platform, which sync customer data and enables the right teams to collaborate towards improved engagement.

3. Search engine optimization (SEO)

AI is a dynamic and continuously advancing machine designed to classify, channelize, and exhibit the data in a way that is most likely to meet the customers’ needs.

The applications of AI in SEO go beyond simple keyword phrases. AI can generate data insights and find patterns in large sets of data in real-time. Not only does AI help you create new content according to search results, but it also enables you to optimize the existing ones to rank higher.

AI is also deployed to streamline the process of creating pillar pages and topic cluster creation. AI can power your page rankings and even help you develop cohesive strategies.

Furthermore, AI excels in analyzing the integrity of a website. For instance, if a site fails to implement white-hat SEO strategies, AI can send alerts to the browser and ban the website. Hence, from increasing your page ranking to checking the integrity of your site, AI has it all.

4. Personalized recommendations

Finding your phone filled with ads of the same commodities you looked for from an e-commerce platform? It’s all Artificial Intelligence. AI is not just about maintaining a data repository and personalizing customer experience on experience.

It’s also about predicting the behavior of new and existing customers. Leveraging predictive analytics, AI allows marketers to extract information from data and utilize the same to interpret purchase trends and also consumer’s behavior patterns.

By analyzing customer’s location, device, past interaction, and demographics, AI can help you display personalized content to users. Using data management platforms, AI’s ability to extract information about the users is not limited to just your site but across the internet.

This paves the way for you to follow the potential leads and eliminate those who are unlikely to convert. Hence AI makes sales forecasting more efficient and lets you strategize to increase profitability.

5. Enhanced shopping experience

It’s tiresome to wait in the long queues of trial rooms at shopping malls. AI and augmented reality have addressed this problem as well. To enhance the shopping experience and to help customers avoid those queues and efforts of trying on clothes, AI provides them with virtual fitting rooms.

In stores with these rooms, customers can stand right in front of a screen and camera. When they do this, they see their virtual version and can try multiple products.

This enhances the shopping experience unimaginably. Technology knows no bounds. With the development of virtual trial rooms, AI eliminated the need to put extra effort into trying the products, thereby saving a lot of time and preventing endless queues.

6. Over to you!

Digital marketing has transformed with the integration of AI in it. From addressing their issues using chatbots to personalizing their experience, AI has it all. Over the years, it will continue to grow and will not slow down.

Leveraging AI and its applications in digital marketing will reduce costs, automate mundane expenses, and increase revenue for your business, helping you grow and outstand in the industry. Client processes in times of disruption. Follow his work here.

Mahendra Gupta is a PMP certified business consultant and has been with Saviom Software for the past decade. His expertise in resource management and workforce analytics has been featured in several leading publications. He is a strong advocate for business efficiency processes in times of disruption. Follow his work here.

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Artificial Intelligence (AI)

How to Apply Artificial Intelligence in Chat Filters

In this article, we shall discuss how to apply Artificial Intelligence (AI) in chat filters. If you are building a chat room, you need to create a chat filter to remove offensive words from the conversation.

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In this article, we shall discuss how to apply Artificial Intelligence (AI) in chat filters.

If you are building a chat room, you need to create a chat filter to remove offensive words from the conversation. A chat filter is a script commonly used in chat rooms for automatically scanning the users’ comments. This process starts immediately after posting the comments, and filters remove or censor inappropriate words. These filters also decide the flow of the chat in a conversation.

Suppose you want to make a Career in Artificial Intelligence. In that case, you should have a strong foundation of statistics and mathematics, one programming language, preferably Python, and the fundamentals of machine learning and its various algorithms. It would help you to start a career in AI.

The people who are already in the AI and related industries can pursue the AI Program Leader. It will help them upgrade themselves to the latest trends and technologies related to AI and machine learning.

Career in Artificial Intelligence Programming

Image Credit: geeksforgeeks

As technology is advancing with time, the application of AI is increasing in every domain. Human beings capabilities like understanding the complexities of various languages, computer vision, speech, and building new intelligent ideas are now possible using AI technology. For that, we have to update with the latest developments in AI and its advanced areas.

Here, we will discuss the application of Artificial Intelligence in chatbot filters.

There are two categories of chat filters used in chat rooms or internet forums – the basic and advanced chatbot filters. The basic bot filters scan only for particular strings of letters and censor them. It doesn’t take care of the meaning of those letters in the context of the sentence.

Advanced chatbot filters examine the letters or words in the sentence context, and hence, their filtering is more sophisticated. Some more advanced chatting filters use a regular expression to find and replace terms in a sentence.

1. Types of Chat Filters

There are five different types of chatbot filter:

Attribute: In this type of filter, you have to create your quality to create a rule.

Lifespan: In this type, the bot acts based on the lifespan value.

Score: Here, we use the confidence score value to choose the response that should allow the bot trigger.

Resolve Query: In this filter, the bot responds depending on the user’s input.

Trigger: Determine trigger to activate bot responses and actions.

These are the different filters that may apply to a chatbot. We can use multiple filters for a single response. A user can see the reactions only if they meet the criteria in the filter.

2. Need for Artificial Intelligence in Chat Filters

Artificial Intelligence changed the way we think about data. It changed the people’s paradigm about how we integrate information and analyze data, and based upon the data, how to improve the decision-making ability of machines. AI is already interfering with our day-to-day life. From Google search results recommendations to Apple’s virtual assistant Siri, we use AI in every aspect of life.

Typically most filters use a binary allow/disallow list, but we know that languages are not binary. They are complex and modulated.

In many older internet forums, some common swear words will be allowed based on context. One can build a regular expression or RegEx tool, and it can filter the string out of terms, but it cannot distinguish between some critical phrases. For that, we need to apply artificial intelligence and natural language processing in creating chat rooms.

3. Application of Natural Language Processing in Chat Filters

In the case of chatbot filters, we use natural language processing. NLP is a sub-domain of AI that deals with the interaction between computers and human language. It helps the filters process and analyses the vast amount of natural language data that results in a machine capable of understanding the available content more clearly.

One can program our chatbots to reply according to the context of the conversation and the data about the user. For example, one may ask the visitor whether he/she is a vegetarian or non-vegetarian and display the menu based upon the visitor’s reply using chat filters.

Application of Natural Language Processing in Chat Filters

Image Credit: chatbot.com

In another example, consider a situation where you want your bot to forward registered users to your website and the new visitors to a registration form. Then, we have to create a flow to check if the user is registered or not.

Application of Natural Language Processing in Chat Filters

Image Credit: chatbot.com

If a user clicks on yes, it shows him one kind of bot response and if he chooses no, it would lead to a different action. We can implement all this filtering in a chatbot by using NLP.

It is not easy for computers to understand the rules that dictate information passing using natural language processing. Sometimes these rules may be highly complex; for example, when we use a sarcastic remark to convey the message. On the other hand, sometimes there may be situations where these rules may be low-levelled; for example, one can use the character “s” for the plural form of the word.

To comprehensively understand the human language, one needs to know the language and how the terms are connected to the sentence to deliver the desired message.

NLP necessitates the algorithms to identify and extract the natural language rules for converting unstructured language data into structured language data. This is how AI and NLP are applied to chat filters.

Overall, we can say that artificial intelligence can make chatbot filters very easy and efficient. However, the techniques deployed in a particular scenario would vary case by case.

4. Frequently Asked Questions (FAQs)

a. What are the chatbots and chat filters?

Ans: Chatbots are software application for conducting an online conversation between humans and machines. It can be a text-based or text-to-speech-based system and can respond according to the user’s query.

A chat filter is used in a chatbot to censor the inappropriate words or sentences in a chat. Chat filters decide the flow of the conversation based on the user’s input.

b. What are Artificial Intelligence (AI) and Natural Language Processing (NLP)?

Ans: It can learn a specific task by a machine without explicitly programming for that task. AI systems are designed to make decisions by analyzing real-time data.

NLP is a subdomain of AI, specially programmed for interaction between humans and computers. Using NLP, a machine can read, decipher, understand, and make sense of a human language in such a practical manner.

c. How to apply AI into a chat filter?

Ans: Using a particular NLP algorithm, we can apply artificial intelligence into chat filters to smooth the undesirable content in a chat. There are different ways in which we can control the flow of the conversation in a chat room.

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