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Conversational AI use cases for enterprises

IBM Journey to AI blog

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. This sophisticated foundation propels conversational AI from a futuristic concept to a practical solution. billion by 2030.

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A Guide to Computational Linguistics and Conversational AI

Towards AI

Last Updated on March 30, 2023 by Editorial Team Author(s): Suvrat Arora Originally published on Towards AI. if this statement sounds familiar, you are not foreign to the field of computational linguistics and conversational AI. What is Conversational AI? Hey Siri, How’s the weather today? —

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4 ways to empower small and medium businesses with generative AI

IBM Journey to AI blog

Watsonx.data allows enterprises to centrally gather, categorize and filter data from multiple sources. Less than 15% of SMBs want to interact with providers through phone and automated voice systems. Conversational AI solutions can reduce call wait time by 30% and produce up to a 370% three-year ROI.

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7 Ways Call Centers Use AI to Unlock Time for Their Agents and Customers

Unite.AI

A study by CCW Digital reveals that up to 62% of contact centers are looking into investing in automation and AI. Still, those who quickly embrace new automation technologies will likely see a notable increase in productivity over their competitors. Read on and explore specific AI applications tailored for contact centers.

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The Ultimate List: Top 7 AI Email Automation Tools for 2023

Ofemwire

If you’re looking to stay ahead of the competition in 2023, AI email automation tools are an essential part of your toolbox. AI-driven email automation tools can take your email marketing efforts to the next level, saving you time and boosting your ROI.

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Transforming customer service: How generative AI is changing the game

IBM Journey to AI blog

While traditional AI approaches provide customers with quick service, they have their limitations. Currently chat bots are relying on rule-based systems or traditional machine learning algorithms (or models) to automate tasks and provide predefined responses to customer inquiries.

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Leveraging user-generated social media content with text-mining examples

IBM Journey to AI blog

Some common techniques include the following: Sentiment analysis : Sentiment analysis categorizes data based on the nature of the opinions expressed in social media content (e.g., It also automates tasks like information extraction and content categorization. positive, negative or neutral).