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4 books on AI for Call Centers [PDF]
October 21, 2024 | 29 |
These books tell about how artificial intelligence can enhance call center operations, personalize customer communications and reduce costs.
1. Conversational AI: Chatbots that Work
2021 by Andrew Freed
Andrew Freed explains why sourcing high-quality training data is critical for creating effective chatbots. He also describes the design principles behind AI systems that impact their conversational capabilities. Practical methodologies for testing and refining chatbots are essential for their success. It is possible to design voice assistants that can handle full call center operations. But evaluating chatbot performance requires specific metrics and user-focused feedback.
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2. The Definitive Guide to Conversational AI with Dialogflow and Google Cloud: Build Advanced Enterprise Chatbots, Voice, and Telephony Agents on Google Cloud
2021 by Lee Boonstra
Google's Dialogflow can be used to build cross-channel chatbots for web, social media and telephony while other Google Cloud tools like BigQuery and Chatbase are used for chatbot analytics and optimization. Dialogflow SDK and Google Cloud APIs can be used to build highly customizable voice platforms and chatbots that operate across different languages. But context management, intents and entities are critical in designing advanced conversational agents.
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3. The AI-Powered Enterprise: Harness the Power of Ontologies to Make Your Business Smarter, Faster, and More Profitable
2020 by Seth Earley
Imagine, if you will, that your business is a sentient starship, hurtling through a galaxy of bewildering customer demands, impenetrable processes and baffling buzzwords. Now, imagine that artificial intelligence is your somewhat overconfident onboard computer, spouting cryptic suggestions about profitability in a soothing, vaguely ominous voice. *The AI-Powered Enterprise* is the user manual you didn’t know you needed—brilliantly demystifying ontologies (which, as it turns out, aren’t obscure alien artifacts but digital blueprints for understanding everything your business is and does). This book doesn’t just tell you AI is the future—it pulls up a chair, hands you a cup of tea and shows you how to outwit the impending AI revolution with an elegant, ontologically superior smirk. Whether it’s designing smarter products, streamlining operations, or just not looking hopelessly confused in front of a boardroom, this is the practical, philosophical and faintly absurdist toolkit every modern enterprise needs to boldly go where no business has gone before.
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4. Advances in Speech Recognition: Mobile Environments, Call Centers and Clinics
2010 by Amy Neustein
This book was written in the times when speech recognition moved from experimental technology to practical applications and mobile phones started to use voice interfaces (VUI) instead of traditional GUIs. Voice recognition became vital for environments like call centers and clinical settings and multimodal interfaces combining voice and graphical elements emerged. The book explores how speech recognition could be critical for modern human-computer interaction, especially in constrained environments.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
1. Conversational AI: Chatbots that Work
2021 by Andrew Freed
Andrew Freed explains why sourcing high-quality training data is critical for creating effective chatbots. He also describes the design principles behind AI systems that impact their conversational capabilities. Practical methodologies for testing and refining chatbots are essential for their success. It is possible to design voice assistants that can handle full call center operations. But evaluating chatbot performance requires specific metrics and user-focused feedback.
Download PDF
2. The Definitive Guide to Conversational AI with Dialogflow and Google Cloud: Build Advanced Enterprise Chatbots, Voice, and Telephony Agents on Google Cloud
2021 by Lee Boonstra
Google's Dialogflow can be used to build cross-channel chatbots for web, social media and telephony while other Google Cloud tools like BigQuery and Chatbase are used for chatbot analytics and optimization. Dialogflow SDK and Google Cloud APIs can be used to build highly customizable voice platforms and chatbots that operate across different languages. But context management, intents and entities are critical in designing advanced conversational agents.
Download PDF
3. The AI-Powered Enterprise: Harness the Power of Ontologies to Make Your Business Smarter, Faster, and More Profitable
2020 by Seth Earley
Imagine, if you will, that your business is a sentient starship, hurtling through a galaxy of bewildering customer demands, impenetrable processes and baffling buzzwords. Now, imagine that artificial intelligence is your somewhat overconfident onboard computer, spouting cryptic suggestions about profitability in a soothing, vaguely ominous voice. *The AI-Powered Enterprise* is the user manual you didn’t know you needed—brilliantly demystifying ontologies (which, as it turns out, aren’t obscure alien artifacts but digital blueprints for understanding everything your business is and does). This book doesn’t just tell you AI is the future—it pulls up a chair, hands you a cup of tea and shows you how to outwit the impending AI revolution with an elegant, ontologically superior smirk. Whether it’s designing smarter products, streamlining operations, or just not looking hopelessly confused in front of a boardroom, this is the practical, philosophical and faintly absurdist toolkit every modern enterprise needs to boldly go where no business has gone before.
Download PDF
4. Advances in Speech Recognition: Mobile Environments, Call Centers and Clinics
2010 by Amy Neustein
This book was written in the times when speech recognition moved from experimental technology to practical applications and mobile phones started to use voice interfaces (VUI) instead of traditional GUIs. Voice recognition became vital for environments like call centers and clinical settings and multimodal interfaces combining voice and graphical elements emerged. The book explores how speech recognition could be critical for modern human-computer interaction, especially in constrained environments.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
