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Publisher ‏ : ‎ Apress; 1st ed. edition (September 13, 2019)
Language ‏ : ‎ English
Paperback ‏ : ‎ 407 pages
ISBN-10 ‏ : ‎ 1484250338
ISBN-13 ‏ : ‎ 978-1484250334
Item Weight ‏ : ‎ 1.26 pounds
Dimensions ‏ : ‎ 6.1 x 0.92 x 9.25 inches

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

In today’s digital age, enterprises are constantly looking for ways to improve efficiency and productivity. One way to achieve this is by implementing chatbots that can automate repetitive tasks and provide instant support to customers and employees. However, working with protected enterprise data presents a unique challenge when developing chatbots.

Open source frameworks such as Rasa and Botpress offer secure solutions for building chatbots that can work with protected enterprise data. These frameworks provide a flexible and customizable platform for developing chatbots that can integrate with enterprise systems and adhere to strict data privacy regulations.

When building an enterprise chatbot, it is important to consider the following key factors:

1. Data security: Ensure that the chatbot is designed to handle sensitive enterprise data securely and comply with data protection regulations.

2. Integration capabilities: Choose an open source framework that allows for easy integration with enterprise systems such as CRM, ERP, and databases.

3. Customization options: Look for frameworks that offer a high level of customization to meet the specific needs of your enterprise.

4. Scalability: Consider the scalability of the chatbot to ensure it can handle increasing volumes of data and interactions as the enterprise grows.

By leveraging open source frameworks and following these key factors, enterprises can build chatbots that can effectively work with protected enterprise data while improving efficiency and productivity.
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