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RASA – an Open Source Chatbot Solution

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Conversational agents or chatbots are the current trends which is followed by the organizations as their first line of support for reducing the response time. The initial generation of bots was not very smart as they understood only a limited set of queries. Different Chatbot platforms are: -         DialogFlow vs.  RASA DialogFlow: -         Formerly known as API -         It does almost everything what chatbots generally do -         Entities and intents classification is handled by DialogFlow -         Lacks end-user management -         It allows webhooks for fulfillment -         Its robust API allows defining intents and entities -         Hosts data in clouds -         On-premise operation is not possible RASA is an open-source machine learning the tool used by developers and product teams for expanding bots ability to answer more than just simple questions. RASA’s Terminologies: -           Intent: It is the basic intention

Design Thinking 101

Design Thinking: v   It is a process as well as an ideology which concerns solving in a user-centric way. v   It develops effective solutions with a human-centric approach based on the needs of the people. v   These are based on processes used by designers and has evolved from; architecture, business, and engineering. v   It is a holistic product design approach in which every product's motive is an opportunity to benefit and delight the users. v   It is cross-functional in nature. v   It is an empathetic and interdisciplinary understanding of the user’s needs. v   It is aligned with business process management, Agile software development, and customer relationship management Human-Centered Design: v   Satisfaction of the user is their main goal. v   It supports successful product development and innovation in an organization. v   It translates the product requirements to product features. 5 Stages of Design Thinking: v   Empathize: This stage tries t