Conversation Intelligence: What is it? Conversation AI, Intelligence, and Search

Artificial Intelligence is going beyond virtual assistants and chatbots. Now the focus of AI is to build conversation intelligence possible. It will improve human-machine interactions.

If this is the first time you understand conversation intelligence, you will be surprised that AI has worked in this field for many years.

In 2016 Facebook introduced Messenger, which accepts commands using Alexa and Siri.

With the launch of Church GPT, we have seen how people, businesses, and trends are looking at artificial Intelligence and its human conversation capabilities.

When the world is running after generating AI, it is a good time to talk about the growth of chat-based applications and how conversation intelligence will be possible.

Google and Bing AI are looking for ways to make conversational Intelligence possible in the coming years.

So let’s dig into everything about conversational Intelligence.

Conversational Intelligence what it is?

 Conversation Intelligence, What is it, Understand Conversation AI, Conversational Intelligence, and Conversational Search,: eAskme

 

Conversation intelligence or conversational Intelligence is the skill of communicating confidently to achieve successful service or positive results.

It is like an AI machine talking to another, a human who is an expert in the industry, niche, or topic.

Building rapport and improving listening, expression, empathy, and adaptability are necessary to improve conversation intelligence.

To make it possible, AI needs a lot of understanding of human interactions and language.

Conversation AI, Conversational Intelligence, and Conversational Search:

Conversation AI makes human-like interaction between machines and people in real-time. It works on Large Language Models, NLP, and Deep Learning.

Conversational AI understands human inputs and outputs and contextual awareness.

Conversational Intelligence:

Conversational Intelligence uses data and AI integrations to improve human interactions. It detects patterns and trends in chat to understand human interactions.

Conversational Intelligence uses natural language processing.

Conversational search:

Conversational search using natural language on your website for chatbot queries and voice search. It is helpful to improve your website tone conversationally.

Conversational search is using site optimization techniques to improve your website content.

Artificial Intelligence gave birth to voice search and chatbots.

You can see the change in SEO, search engines and conversational Intelligence.

Conversational AI and Generative AI:

Conversation AI understands human interactions and language to chat like a human. But generative AI uses auto-content.

Conversational AI is improving to become a human conversation with natural language, But Generative AI uses data sets to generate the results.

Conversational AI only focuses on human-based interactions, but Generative AI helps create a different type of content.

Conversation AI focus on language comprehension but Generative AI focus on pattern analysis.

Conversational AI is useful in personal assistant, customer service, and language translation. Generative AI is helpful in automated content creation and research.

Conversation Intelligence for Conversational SEO:

Conversational SEO will help websites to use chatbots and voice search to attract users with human-like conversations.

You will conversationally improve your website content with Conversational Intelligence tools.

Conversational SEO will focus on SEO and human-based queries.

Chatbots like Bing Chat or ChatGPT can help you generate content according to your target audience.

Conversational content will offer:

• Relevant information.
• Explain process.
• Easy navigation.

Content intelligence and Conversational Intelligence work together to create optimized content that is easy for users and search engines to digest.

Conversational Intelligence or Generative AI:

The new search experience uses both conversational and Generative AI elements. It is time to understand and work for conversational user intent.

You should focus on the following:

Customers:

Understand customers using conversation SEO. Understand the languages, queries, and questions.

User-Experience:

Create an immersive user experience to make it easy for conversational AI to find request answers on your website.

Content Personalization:

Conversational AI can help to offer personalized content experiences to your audience.

Optimize Conversational Keywords:

Optimize content according to customers’ natural language queries and questions.

Schema and Semantics:

Use conversational Intelligence to optimize Schema and Semantics.

Refine and Test:

Test to refine your content with conversational SEO strategies.

Get Voice Search:

Make your content ready for voice search.

Conclusion:

Conversational Intelligence is the foundation of virtual assistants and chatbots. It is the need for human based-interactions for a machine.

With conversational Intelligence, you can optimize your content, SEO, user experience, topic and keyword research, etc.

It will improve the overall experience of your target user.

Still have any question, do share via comments.

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Google Bard AI: Everything that You Must Know!

What is Google Bard? What did Google Bard do? What question did Bard get wrong? What questions did Google AT get wrong? What is Bard Chatbot? What sites were trained on it?

These are a few of the questions that are circulating in the AI industry.

Google Bard is trained on web content, but how the information is collected and which content is used is something that every user should know.

Let's start answering every question about Google Bard.

What is Google Bard?

Google Bard AI: Everything that You Must Know!: eAskme

Google's Bard is an AI chatbot like ChatGPT. Google users can use Bard during conversations.

Bard is developed on LaMDA (Language Model for Dialogue Application).

Infiniset is the content on which Bard is trained. Till now, there has been very little information revealed about Infiniset.

It is too early to say where Google LaMDA has collected data and how.

The 2022 LaMDA report shows that 12.5% of data came from Wikipedia and 12.5% from public datasets.

Even though Google is not revealing where the company has collected the data, there are some sites that industry experts are talking about.

What is Google's Infiniset Dataset?

Google Bard is based on Language Model for Dialogue Applications, also known as LaMDA.

Google's language model trained on the Infiniset dataset.

Infiniset is the data collected to improve the LaMDA's ability to boost conversation.

LaMDA research paper https://arxiv.org/pdf/2201.08239.pdf shows that the whole process focused on boosting dialogs or dialog.

1.56 trillion words from public data are used to pre-train LaMDA.

The research paper has revealed that data is from the following sources:

• 12.5% of data is C4 based.
• 12.5% data is from Wikipedia.
• 12.5% of data is from tutorials, websites, etc.
• 6.25% of data is from English documents.
• 6.25% of data is from Non-English documents.
• 50% of dialogs data is from public forums.

We already know that 25% of data is from Wikipedia and C4.

The C4 dataset is a common crawl dataset.

It also means that 75% of Infiniset data is from the internet.

What pdf documents had not revealed is how the data was collected.

Google has not explained what it means by "Non-English web documents.

That is why the rest of the 75% data is known as Murky.

C4 Dataset:

Google developed the C4 dataset in 2020.

All the data used in C4 is open-source common crawl data.

What is the Common Crawl?

CommonCrawl is a free-to-use website that creates free datasets for internet users. It is a non-profit organization.

The Common Crawl founders are from Blekko, Wikimedia, and Googler.

How has Google developed the C4 dataset from the Common Crawl?

The company has cleaned Common Crawl data such as deduplication, thin content, lorem ipsum, obscene words, navigational menus, etc.

C4 has collected only primary data and removed meaningless content.

But it doesn't mean that you cannot find unfiltered C4 datasets.

Here is the C4 dataset research paper:
https://arxiv.org/pdf/1910.10683.pdf
https://arxiv.org/pdf/2104.08758.pdf

The second document shows that 32% of Hispanic and 42% of African-American pages were removed during filtration.

51.3% of data is from sites hosted in the United States.

The C4 dataset uses using following sites such as:

• www.npr.org
• www.ncbi.nlm.nih.gov
• caselaw.findlaw.com
• www.kickstarter.com
• www.theatlantic.com
• link.springer.com
• www.booking.com
• www.chicagotribune.com
• www.aljazeera.com
• www.businessinsider.com
• www.frontiersin.org
• ipfs.io
• www.fool.com
• www.washingtonpost.com
• patents.com
• www.scribd.com
• journals.plos.org
• www.forbes.com
• www.huffpost.com
• patents.google.com
• www.nytimes.com
• www.latimes.com
• www.theguardian.com
• en.m.wikipedia.org
• en.wikipedia.org

Top-level domain extensions used in the C4 dataset are:

• Com
• Org
• Co.uk
• Net
• Com.au
• Edu
• Ca
• Info
• Org.uk
• In
• Gov
• Eu
• De
• Tk
• Co
• Co.za
• Us
• Ie
• Co.nz
• Ac.uk
• Ru
• Nl
• Io
• Me
• It

Here is what was published in the 2020 research paper. https://arxiv.org/pdf/2104.08758.pdf

What is Dialogs Data from Public Forums?

Google's LaMDA uses 50% of data from "Dialogs Data from Public Forums."

It is best to say that communities like StackOverflow and Reddit are used in many datasets.

Google has also talked about MassiveWeb. You should know that MassiveWeb is Google's product.

MassiveWeb uses data from:

• StackOverflow
• Reddit
• Medium
• Facebook
• YouTube
• Quora

But no one can surely tell if this data is used for LaMDA.

Remaining Data:

The remaining data is from:

• 6.25% from Non-English web documents.
• 6.25% from English web documents.
• 12.5% data is from Wikipedia.
• 12.5% is from code documents sites.

What did Google Bard do?

Google has launched Bard as an answer to compete with Microsoft's ChatGPT chatbot.

But most recently, Bard has delivered errors during its search demo. This issue has caused a $100 billion loss in Alphabet shares.

Conclusion:

Google Bard is Google's effort to compete with ChatGPT and AI chatbot technologies. The current demo of Bard has caused a massive fall in Google's parent company Alphabet's shares.

It also shows that a lot of work still needs to be done to fix errors and make Bard ready for the future.

There will be more news coming out soon about Bard.

Stay tuned with us.

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Viba Connect – Artificial Intelligence Assistant

An artificial intelligence assistant is a virtual assistant that can help retailers assist their customers quicker and more efficiently.

These virtual assistants can do anything a real person can and much more.

The virtual assistant can assist the customer in their language, answer questions, direct them to where they need to find their product, and do it all in just a few minutes.

Viba Connect – Artificial Intelligence Assistant: eAskme

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There are companies all over the world already using AI assistants to help their companies to help customers.

AI assistants are used to answering phone calls, sending text messages, and even assisting with shopping.

Some companies provide an AI assistant to different companies for them to be more efficient such as Viba Connect.

They use it to assist businesses with phone calls, text messages, messenger messages, and even in-store assistance.

These AI assistants are the wave of the future, companies will be able to save time and money with them, and customers will also save time and money while working with a virtual assistant.

While some people worry about the ethics of such an assistant, they are already helping millions of people worldwide, and some people do not even realize they are working with AI.

Here are some reasons an artificial intelligence assistant is a good business idea.

Immediate AssistanceAI assistants can help customers with answers to questions they do not even know they have.

The AI assistant can track customer preferences and answer questions about specific items before the customer can ask the questions.

Rise of Messaging Apps:

Many companies are already using AI assistants in their messaging apps, and people do not even realize they are speaking to AI.

Businesses can use AI to answer customer questions, provide new information about products or services, and create new revenue streams.

Training:

Companies can save thousands of dollars on training their employees with an AI assistant.

They can train the AI assistant on how to train the employees and then have the AI train the employee.

This can save the company time and money because they do not have to employ a trainer and only have to train the AI once.

You can learn more about AI here at this site. The company can also program the AI assistant to answer employees' questions once they are trained.

24/7 Customer Assistance:

Companies can have AI assistants on call twenty-four hours a day, seven days a week.

AI assistants do not need time off for sickness or vacations; they can work all hours and even on public holidays.

This will provide customers with the assistance they need when they need it.

Reliable Service:

AI assistants can provide reliable customer service that is friendly and can assist the customers just how they need it.

The AI assistant can be programmed to answer all questions and then escalate the call to a manager if they cannot answer them.

The AI assistant will never get angry with a customer or argue with a customer that wants to argue.

This can all help the customer have a more positive experience and have them coming back for more of your product or service.

Cost Savings:

Another way to save costs with AI assistants is that the AI can provide higher levels of service than traditional customer service, and they can do it for a much lower cost.

Speed:

AI assistants can handle all customer interactions faster than a real person.

This helps the customer feel valued and that the assistant is listening to their concerns.

This will also help the customer feel that they need to return to your company because you care about the customer.

Self-service Options:

Today's customers always look for self-service options because they do not want to call customer service.

They rely on frequently asked questions on the company's site, online forums, and other self-service options.

If they can ask an AI assistant a question without having to talk to a real assistant, they are usually much happier and more satisfied with the answers.

Personalization:

AI assistants can gather information about customers that can help provide a more personalized experience for the customer.

The AI can see that a customer likes a certain style of jeans, and then the AI can show them the same style of jeans the next time they interact with the website.

AI assistants can help you provide better customer service for less money, which will make your customers happier with their experiences.

This will have the customers returning to your company because they feel you know how to please them and keep them happy.

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