Building an Enterprise Chatbot: Work with Protected Enterprise Data Using Open Source Frameworks - Image 1

£41.88

Apress Building an Enterprise Chatbot: Work with Protected Enterprise Data Using Open Source Frameworks

Name: Building an Enterprise Chatbot: Work with Protected Enterprise Data Using Open Source Frameworks
Brand: Apress
Price: 41.88 GBP
Availability: InStock

AI & Machine Learning

This is the usual price. Wait for it to drop, or tell us your number.

£42 today · usual range £0–£0 · best ever £37

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 622 days • 622 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 622 days • 5 price levels

Days at Price

Current Price

Price Analysis

Most common price: £41 (299 days, 48.1%)

Price range: £37 - £50

Price levels: 5 different prices over 622 days

Description

Explore the adoption of chatbots in business by focusing on the design, deployment, and continuous improvement of chatbots in a business, with a single use-case from the banking and insurance sector. This book starts by identifying the business processes in the banking and insurance industry. This involves data collection from sources such as conversations from customer service centers, online chats, emails, and other NLP sources. You’ll then design the solution architecture of the chatbot. Once the architecture is framed, the author goes on to explain natural language understanding (NLU), natural language processing (NLP), and natural language generation (NLG) with examples. In the next sections, you'll design and implement the backend framework of a typical chatbot from scratch. You will also explore some popular open-source chatbot frameworks such as Dialogflow and LUIS. The authors then explain how you can integrate various third-party services and enterprise databases with the custom chatbot framework. In the final section, you'll discuss how to deploy the custom chatbot framework on the AWS cloud. By the end of Building an Enterprise Chatbot, you will be able to design and develop an enterprise-ready conversational chatbot using an open source development platform to serve the end user. What You Will Learn Identify business processes where chatbots could be used Focus on building a chatbot for one industry and one use-case rather than building a ubiquitous and generic chatbot Design the solution architecture for a chatbot Integrate chatbots with internal data sources using APIs Discover the differences between natural language understanding (NLU), natural language processing (NLP), and natural language generation (NLG) Work with deployment and continuous improvement through representational learning Who This Book Is ForData scientists and enterprise architects who are currently looking to deploy chatbot solutions to their business.

Product Specifications

Brand: Apress
Format: paperback
ASIN: 1484250338
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 13 September 2019
Listed Since: 23 May 2019

Barcode

No barcode data available

Apress Building an Enterprise Chatbot: Work with Protected Enterprise Data Using Open Source Frameworks

This is the usual price. Wait for it to drop, or tell us your number.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Building Chatbots with Python: Using Natural Language Processing and Machine Learning

The Definitive Guide to Conversational AI with Dialogflow and Google Cloud: Build Advanced Enterprise Chatbots, Voice, and Telephony Agents on Google Cloud

Conversational Artificial Intelligence

Introduction to Python and Large Language Models: A Guide to Language Models

Building Applications with Large Language Models: Techniques, Implementation, and Applications

Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems

LLM Design Patterns: A Practical Guide to Building Robust and Efficient AI Systems

Next Generation AI Language Models in Research: Promising Perspectives and Valid Concerns

Neural Approaches to Conversational AI: Question Answering, Task-oriented Dialogues and Social Chatbots (Foundations and Trends® in Information Retrieval)

Natural Language Analytics with Generative Large-Language Models: A Practical Approach with Ollama and Open-Source LLMs (SpringerBriefs in Computer Science)

LLMs in Enterprise: Design strategies, patterns, and best practices for large language model development

Applied Generative AI for Beginners: Practical Knowledge on Diffusion Models, ChatGPT, and Other LLMs

Python Natural Language Processing: Advanced machine learning and deep learning techniques for natural language processing

Advances in Natural Language Processing, Intelligent Informatics and Smart Technology: Selected Revised Papers from the Eleventh International ... in Intelligent Systems and Computing, 684)

Introduction to Natural Language Processing (Adaptive Computation and Machine Learning series)

LangChain for RAG Beginners: Build Your First Powerful AI GPT Agent (Agents, GPTs, and Generative AI for Beginners)

IT-Case Study: Ontology-Based Answer Selection in Dialog Systems

Toward Artificial General Intelligence: Deep Learning, Neural Networks, Generative AI

Natural Language Processing for Global and Local Business

Natural Language Processing and Applications

Deep Learning for Natural Language Processing: Creating Neural Networks with Python

Natural Language Processing in Artificial Intelligence ― NLPinAI 2021: 999 (Studies in Computational Intelligence, 999)

Practical AI on the Google Cloud Platform: Utilizing Google's State-of-the-Art AI Cloud Services

Dialogues with Social Robots: Enablements, Analyses, and Evaluation: 427 (Lecture Notes in Electrical Engineering, 427)