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Artificial Intelligence (AI)

5 Ways Artificial Intelligence Can Positively Impact The Future Of Web Streaming

5 Ways Artificial Intelligence can Positively Impact the Future of Web Streaming. Better Encoding, Zero Privacy Issues, Improved UI

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5 Ways Artificial Intelligence Can Positively Impact The Future Of Web Streaming

Despite inspiring a considerable amount of intimidation, AI is at the forefront of innovation, especially in the post-pandemic era. However, as a futuristic technology, AI’s real essence needs to be ascertained from an open mindset. Reasons being the diversity of approach and the usefulness of AI as a multivariate resource for simplifying human indulgences!

Then again, AI’s role in optimizing video streaming experiences has been under a lot of speculation in 2021. As individuals rely heavily on streaming devices, streaming platforms, and even web streaming services to keep up with the leisure spells, even service providers are wrapping their heads around the inclusion of AI to make the experiences even more rewarding.

Those who aren’t of the positive impact of AI regarding the video streaming modules and workflows should closely follow this discussion. In the subsequent sections, we shall take a closer look at home Artificial Intelligence can impact the diverse clientele’ web streaming experiences, sans privacy and quality compromises.

1. AI and Video Streaming: The Relation

Artificial Intelligence AI Web Streaming

Before we move any further with this discussion, it is important to note how AI technology works, with video streaming being the subject of interest. AI put, equates to mimicking the human mind, albeit an intelligent one.

Before AI became a fad, intuitive human minds used to manually manage certain processes, slowing down the entire system in the process. On the other hand, AI goes relentless about the task and even empowers any given process with cumulative computational power about machines.

As with video streaming, AI comes in as a handy purported inclusion as the technology allows you to sift through massive data sets in a matter of seconds, something that is virtually impossible for any human mind. Therefore, in the immediate future, AI will aim to optimize streaming workflows by calculating bitrate, user expectations, and even network conditions.

Therefore, broadcasters will not have to worry about catering to diverse audience bases separately. The platform itself will be extremely intelligent, and content quality will vary as per preferences and resources.

If you are still unsure as to how AI will make such a lasting impression, considering the already evolved nature of the streaming devices, platforms, and services, keep reading on:

2. 5 Ways AI can help

a. Better Encoding

If you are not aware of how the concept of video streaming works, a better understanding of encoding is expected to help. This means the content-aware realms process and stream videos, where the quality, inclusion, resolution, and other aspects are in sync with the receptors hardware configuration.

While most encoding tasks are still being initiated manually, AI can help automate the process more with trained machine learning algorithms to work with.

Once AI is incorporated into the mix, optimizing bitrate, accounting for latency, and syncing along the video streaming protocols become easier than ever.

While most streaming platforms and applications is already pursuant in a given capacity, this inclusion will make the most sense of website streaming and relevant content, often lacking a dedicated UI to optimize the broadcasted quality.

Not to mention, the role of AI would impact VDO and even live streaming workflows, allowing broadcasters, enterprises, and companies to save a lot of money by facilitating curated bandwidth usage.

b. Zero Privacy Issues

Web streamers often find it hard to curate content based on locational and copyright issues. This means, if a web stream is broadcasting something sensitive where certain parts of the content are confidential and need to be blurred out, manual settings might not be as helpful.

On the other hand, AI can check and optimize the entire workflow and essentially take care of the brand names, signs, logos, and other information bits via advanced and trained computer vision.

This way, it becomes easier to send forth unique content.

c. Improved User Experience

Eventually, it all boils down to improving the overall customer experience, something most web streamers strive for. While a handful of web streaming resources already offered the best possible experience by eliminating clutter and issues related to buffering, AI implementation in other resources can have a similar effect.

Content tagging happens to be one such aspect as it allows the streamers to broadcast specific content pieces, depending on audience preferences.

Artificial intelligence, therefore, makes watching USTVGo on Firestick a more lucrative experience as you can get access to curated content, sans broadcasting issues.

Not just USTVGo, but other web streaming resources can also benefit from the concept of content cataloguing whilst helping convert prospects into active viewers.

d. Automated Detection

Have you ever seen certain channels blurring out sharp images and elements for a particular program or a movie? This is what AI aims to achieve on a larger scale.

Instead of manually monitoring every program, Artificial intelligence will bring in the ability to detect certain elements automatically whilst managing them as per preferences. This way, any web streaming platform can go safely and securely about VOD streaming without worrying about legal issues.

e. Zero Copyright Infringement

Here comes a more scalable aspect relevant to the AI implementation. Ascertain brands and enterprises are quite serious about their logos; streamers often look for technologies that can take care of the same by selectively hiding or blurring out the same.

Leveraging artificial intelligence can make this concept work, but streamers must first train the systems with relevant algorithms to facilitate seamless detection.

3. Bottom-Line

Artificial Intelligence, if leveraged right, can change the way web streaming is perceived in the modern era. With the streamers becoming more intelligent, it will be easier for the relevant broadcasters to rely on selective and optimized broadcasting.

While we are currently looking at web streaming, AI can also simplify the way businesses work with live streaming workflows and sessions.

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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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