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Showing posts from August, 2019

Sample Web Chatbot design using Pega V8.3

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Build a Pega Intelligent Virtual Assistant™ (IVA) for Web Chatbot by adding the training tasks to the model. You can createa sample training data, map the entities, add the training data to the model, and when ready, rebuild the model. In this post we can focus on how to add several instances of same user input to train the model so that IVA for Web Chatbot improves how it responds to the text you enter, using artificial intelligence. Here are the steps to follow: 1) Create the "Insurance Quote" case type that is related to a car insurance quote. 2) Add data types for a car insurance quote such as color, make, model, registration date, VIN (vehicle identification number), and model year. 3) Make sure to instantiate a "Web Chatbot" (Eg:Web Chat) interface from Application Menu => Channels and interfaces landing page. Add the case type in the Content section with a create case command of "insurance".  Make sure to enable the Text Analyzer's ...

Kafka usecases

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A brief overview of Kafa platform: Apache Kafka is a streaming platform which enables users to publish data and also subscribe to different streams of records. Kafka stores the streams in a fault tolerant way. It is used to build reliable real-time streaming data pipelines. Further, it runs as a cluster and implements the concept of topics or feed name which records are published to. Kafka has great performance, and it is stable, provides reliable durability, has a flexible publish-subscribe/queue that scales well with N-number of consumer groups, has robust replication, provides Producers with tunable consistency guarantees, and it provides preserved ordering. Usecase#1: App Analytics Realtime Dashboard (AARD) Develop a scalable system which can do real-time analytics for different health applications. The occurrence of different health conditions can be regarded as the complex events and thus this concept can be extended to other use cases easily. Large number of users s...