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Artificial Intelligence (AI) in
Communication
DR. A. PRABAHARAN
PROFESSOR & RESEARCH DIRECTOR
PUBLIC ACTION
www.indopraba.blogspot.com
1
AI Communications
 Artificial Intelligence (AI) plays a
significant role in revolutionizing
communication across various
domains.
 Here are several ways AI is
influencing and enhancing
communication
www.indopraba.blogspot.com
2
Chatbots and Virtual Assistants
 Customer Support: AI-powered chatbots can handle routine
customer queries, providing instant responses and freeing
up human agents for more complex tasks. It can also
retrieve information, give customer support and track
orders. It is a general tool.
 Virtual Assistants: Personal assistants like Siri, Google
Assistant, and Alexa use AI to understand and respond to
natural language commands. It can process complex
queries, managing smart home services, scheduling
appointments. These are very specific task performers
www.indopraba.blogspot.com
3
Natural Language Processing (NLP)
 AI-driven NLP enables machines to understand and interpret
human language, facilitating more natural and effective
communication.
 Translation services powered by AI can bridge language
gaps, enabling real-time multilingual communication.
 NLP combines Computational Linguistics, rule based
modeling of human language with statistical and machine
learning models
 This combination of NLP make computers and other digital
devices to recognize, understand, generate and text speech
www.indopraba.blogspot.com
4
Speech Recognition
 AI-based speech recognition technologies, such as
those used by virtual assistants and transcription
services, enable the conversion of spoken language into
text.
 Speech Recognition is also known as Automatic Speech
Recognition or speech to text is a capability that enables
a program to process human speech into a written
format
 It translates speech from a verbal format to a text
format
 This technology is crucial for applications like voice-activated
commands and hands-free communication.
www.indopraba.blogspot.com
5
Email Filtering and Sorting
 AI algorithms are employed to filter and categorize
emails, reducing the workload on users by prioritizing
important messages and identifying spam.
 Email filtering can organize the emails according to
specified criteria
 SMTP server automatically processes messages
 It can reject an email as per the setting
 Emails can be redirected to some other emails
 It can save from viruses and spam emails
www.indopraba.blogspot.com
6
Predictive Text and Autocorrect
www.indopraba.blogspot.com
7
AI contributes to the development of predictive text and
autocorrect features, improving typing efficiency and
reducing errors in written communication
It is an input technology that facilitates typing on a device
by suggesting words the user may wish to insert in a text
field
Predictions are based on the context of other words in the
message and the first letters typed
Sentiment Analysis
 AI can analyze text and speech to determine the sentiment behind messages,
helping businesses understand customer feedback and sentiments on social
media.
 Sentiment analysis is also called as Opinion Mining
 It is a Natural Language Processing (NLP) used to determine whether a data
is positive or neutral or negative
 Generally business and industries use Sentiment Analysis to check the
feedback of the customers on its products
 Brand growth and success are dependent on the Sentiment Analysis
 It helps to understand the customer needs
www.indopraba.blogspot.com
8
Content Generation
 AI systems can assist in content creation, generating articles,
reports, or social media posts based on specific inputs or data
 Creating innovative and interesting contents is Content
Generation
 Books, Reports, Presentations, Designs, Articles, Videos, Reels,
shorts can be made to make it effective and attractive with the
help of Content Generators
 Amazon CEO Jeff Bezos don’t do PowerPoint Presentations.
Instead he sends structured written memos
www.indopraba.blogspot.com
9
Smart Replies
 AI-driven smart reply suggestions in messaging apps
anticipate user responses and provide quick,
contextually relevant suggestions for efficient
communication
 The smart reply automatically generates probable
replies
 It is very easy for the user to pick up any one of the
multiple replies and send it
 This can save typing energy and time
www.indopraba.blogspot.com
10
Emotion Recognition
 Emotion Recognition is an ability to identify and
discriminate others emotional states primarily from the
facial, vocal and postural expressions
 AI algorithms can analyze facial expressions and vocal
cues to recognize and understand human emotions,
enhancing the emotional intelligence of
communication systems.
 Human ability to differentiate or recognizing emotions
may not be accurate
 ER can help to recognition emotions of different
cultures and different people in a better way
www.indopraba.blogspot.com
11
Video and Voice Analysis
 AI is employed to analyze video and voice content, extracting
valuable insights for businesses, security, and personal
communication.
 Customers’ communications are analyzed more effectively using AI
models
 aiWARE ecosystem can effectively capture and analyze customers’
communications across any channel to rate interactions
 It can reduce operating costs and maintain compliance
 It enables to make tangible adjustments to improve satisfaction
www.indopraba.blogspot.com
12
Collaboration Tools
 AI-powered features in collaboration tools help streamline
communication within teams, providing smart notifications,
content recommendations, and automated workflows
 Collaboration tools assist people to collaborate
 To achieve a common goal of two or more people collaboration
tool is needed
 It can be non technical or technical
 Paper, flipcharts, post-it notes, whiteboards are non
technological
 Software tools are technological
www.indopraba.blogspot.com
13
Personalization
 AI enables personalized communication experiences by analyzing
user behavior, preferences, and historical interactions, tailoring
content and recommendations accordingly
 It is also known as customization
 Personalization consists of tailor made service or product to meet the
needs of particular persons
 Sometimes groups or segments of individuals are also taken into
personalization
 Personalization collects data on individuals, including web browsing
history, web cookies and location
www.indopraba.blogspot.com
14
Conclusion
 As AI continues to advance, it will likely play an
increasingly prominent role in shaping the future of
communication, making interactions more efficient,
personalized, and inclusive
 AI will break cultural and linguistic barriers
 One world is possible through AI communications
 With the instant translating AI software like Bhasini,
linguistic barrier will be eliminated more or less in
the future
www.indopraba.blogspot.com
15
www.indopraba.blogspot.com

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Artificial Intelligence (AI) in Communication.pptx

  • 1. Artificial Intelligence (AI) in Communication DR. A. PRABAHARAN PROFESSOR & RESEARCH DIRECTOR PUBLIC ACTION www.indopraba.blogspot.com 1
  • 2. AI Communications  Artificial Intelligence (AI) plays a significant role in revolutionizing communication across various domains.  Here are several ways AI is influencing and enhancing communication www.indopraba.blogspot.com 2
  • 3. Chatbots and Virtual Assistants  Customer Support: AI-powered chatbots can handle routine customer queries, providing instant responses and freeing up human agents for more complex tasks. It can also retrieve information, give customer support and track orders. It is a general tool.  Virtual Assistants: Personal assistants like Siri, Google Assistant, and Alexa use AI to understand and respond to natural language commands. It can process complex queries, managing smart home services, scheduling appointments. These are very specific task performers www.indopraba.blogspot.com 3
  • 4. Natural Language Processing (NLP)  AI-driven NLP enables machines to understand and interpret human language, facilitating more natural and effective communication.  Translation services powered by AI can bridge language gaps, enabling real-time multilingual communication.  NLP combines Computational Linguistics, rule based modeling of human language with statistical and machine learning models  This combination of NLP make computers and other digital devices to recognize, understand, generate and text speech www.indopraba.blogspot.com 4
  • 5. Speech Recognition  AI-based speech recognition technologies, such as those used by virtual assistants and transcription services, enable the conversion of spoken language into text.  Speech Recognition is also known as Automatic Speech Recognition or speech to text is a capability that enables a program to process human speech into a written format  It translates speech from a verbal format to a text format  This technology is crucial for applications like voice-activated commands and hands-free communication. www.indopraba.blogspot.com 5
  • 6. Email Filtering and Sorting  AI algorithms are employed to filter and categorize emails, reducing the workload on users by prioritizing important messages and identifying spam.  Email filtering can organize the emails according to specified criteria  SMTP server automatically processes messages  It can reject an email as per the setting  Emails can be redirected to some other emails  It can save from viruses and spam emails www.indopraba.blogspot.com 6
  • 7. Predictive Text and Autocorrect www.indopraba.blogspot.com 7 AI contributes to the development of predictive text and autocorrect features, improving typing efficiency and reducing errors in written communication It is an input technology that facilitates typing on a device by suggesting words the user may wish to insert in a text field Predictions are based on the context of other words in the message and the first letters typed
  • 8. Sentiment Analysis  AI can analyze text and speech to determine the sentiment behind messages, helping businesses understand customer feedback and sentiments on social media.  Sentiment analysis is also called as Opinion Mining  It is a Natural Language Processing (NLP) used to determine whether a data is positive or neutral or negative  Generally business and industries use Sentiment Analysis to check the feedback of the customers on its products  Brand growth and success are dependent on the Sentiment Analysis  It helps to understand the customer needs www.indopraba.blogspot.com 8
  • 9. Content Generation  AI systems can assist in content creation, generating articles, reports, or social media posts based on specific inputs or data  Creating innovative and interesting contents is Content Generation  Books, Reports, Presentations, Designs, Articles, Videos, Reels, shorts can be made to make it effective and attractive with the help of Content Generators  Amazon CEO Jeff Bezos don’t do PowerPoint Presentations. Instead he sends structured written memos www.indopraba.blogspot.com 9
  • 10. Smart Replies  AI-driven smart reply suggestions in messaging apps anticipate user responses and provide quick, contextually relevant suggestions for efficient communication  The smart reply automatically generates probable replies  It is very easy for the user to pick up any one of the multiple replies and send it  This can save typing energy and time www.indopraba.blogspot.com 10
  • 11. Emotion Recognition  Emotion Recognition is an ability to identify and discriminate others emotional states primarily from the facial, vocal and postural expressions  AI algorithms can analyze facial expressions and vocal cues to recognize and understand human emotions, enhancing the emotional intelligence of communication systems.  Human ability to differentiate or recognizing emotions may not be accurate  ER can help to recognition emotions of different cultures and different people in a better way www.indopraba.blogspot.com 11
  • 12. Video and Voice Analysis  AI is employed to analyze video and voice content, extracting valuable insights for businesses, security, and personal communication.  Customers’ communications are analyzed more effectively using AI models  aiWARE ecosystem can effectively capture and analyze customers’ communications across any channel to rate interactions  It can reduce operating costs and maintain compliance  It enables to make tangible adjustments to improve satisfaction www.indopraba.blogspot.com 12
  • 13. Collaboration Tools  AI-powered features in collaboration tools help streamline communication within teams, providing smart notifications, content recommendations, and automated workflows  Collaboration tools assist people to collaborate  To achieve a common goal of two or more people collaboration tool is needed  It can be non technical or technical  Paper, flipcharts, post-it notes, whiteboards are non technological  Software tools are technological www.indopraba.blogspot.com 13
  • 14. Personalization  AI enables personalized communication experiences by analyzing user behavior, preferences, and historical interactions, tailoring content and recommendations accordingly  It is also known as customization  Personalization consists of tailor made service or product to meet the needs of particular persons  Sometimes groups or segments of individuals are also taken into personalization  Personalization collects data on individuals, including web browsing history, web cookies and location www.indopraba.blogspot.com 14
  • 15. Conclusion  As AI continues to advance, it will likely play an increasingly prominent role in shaping the future of communication, making interactions more efficient, personalized, and inclusive  AI will break cultural and linguistic barriers  One world is possible through AI communications  With the instant translating AI software like Bhasini, linguistic barrier will be eliminated more or less in the future www.indopraba.blogspot.com 15