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Artificial Intelligence (AI) in Communication.pptx
The document discusses the transformative impact of artificial intelligence (AI) on communication, highlighting its applications in areas such as customer support through chatbots, natural language processing for real-time translation, and emotion recognition via facial and vocal expression analysis. AI enhances efficiency and personalization in communication, from predictive text and email filtering to smart replies and content generation. As AI evolves, it is expected to further revolutionize communication by breaking down linguistic and cultural barriers.
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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 ArtificialIntelligence (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 VirtualAssistants 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-basedspeech 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 andSorting 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 andAutocorrect 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 AIcan 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 AIsystems 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-drivensmart 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 EmotionRecognition 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 VoiceAnalysis 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-poweredfeatures 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 enablespersonalized 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 AIcontinues 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
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