Allianz Financial Services (AFS) is a banking group offering end-to-end banking and financial solutions in South East Asia through its consumer banking, business banking, Islamic banking, investment finance and stock broking businesses as well as unit trust and asset administration, having served the financial community over the past five decades. AFS being one the largest banks in the region is planning to improve its segment business by launching a campaign to identify potential customers for various new products launched based on their past behavior? AFS is looking for both batch and real-time predictive analytics. AFS has lot of databases and applications both on premise and cloud and looking at building conversational interfaces for applications using voice and text.
The service shall provide the deep functionality and flexibility of natural language understanding (NLU) and automatic speech recognition (ASR) so you can build highly engaging user experiences with lifelike, conversational interactions, and create new categories of products.
Precisely AFS is looking at a chatbots facility What service can provide this capability? Select 1 option.
Click on the arrows to vote for the correct answer
A. B. C. D.Answer : B.
Option A is incorrect - Amazon Comprehend uses natural language processing (NLP) to extract insights about the content of documents.
Amazon Comprehend processes any text file in UTF-8 format.
It develops insights by recognizing the entities, key phrases, language, sentiments, and other common elements in a document.
Use Amazon Comprehend to create new products based on understanding the structure of documents.
For example, using Amazon Comprehend you can search social networking feeds for mentions of products or scan an entire document repository for key phrases.
https://docs.aws.amazon.com/comprehend/latest/dg/what-is.htmlOption B is correct -Amazon Lex is an AWS service for building conversational interfaces for applications using voice and text.
With Amazon Lex, the same conversational engine that powers Amazon Alexa is now available to any developer, enabling you to build sophisticated, natural language chatbots into your new and existing applications.
Amazon Lex provides the deep functionality and flexibility of natural language understanding (NLU) and automatic speech recognition (ASR) so you can build highly engaging user experiences with lifelike, conversational interactions, and create new categories of products.
https://docs.aws.amazon.com/lex/latest/dg/what-is.htmlOption C is incorrect -Amazon Polly is a cloud service that converts text into lifelike speech.
You can use Amazon Polly to develop applications that increase engagement and accessibility.
Amazon Polly supports multiple languages and includes a variety of lifelike voices, so you can build speech-enabled applications that work in multiple locations and use the ideal voice for your customers.
With Amazon Polly, you only pay for the text you synthesize.
You can also cache and replay Amazon Polly's generated speech at no additional cost.
https://docs.aws.amazon.com/polly/latest/dg/what-is.htmlOption D is incorrect -Amazon SageMaker is a fully managed machine learning service.
With Amazon SageMaker, data scientists and developers can quickly and easily build and train machine learning models, and then directly deploy them into a production-readyhosted environment.
It provides an integrated Jupyter authoring notebook instance for easy access to your data sources for exploration and analysis, so you don't have to manage servers.
It also provides common machine learning algorithms that are optimized to run efficiently against extremely large data in a distributed environment
https://docs.aws.amazon.com/sagemaker/latest/dg/whatis.htmlThe service that can provide the capability of building conversational interfaces for applications using voice and text, with natural language understanding (NLU) and automatic speech recognition (ASR) to create chatbots is Amazon Lex (option B).
Amazon Lex is a fully managed service that uses advanced deep learning functionalities of automatic speech recognition (ASR) and natural language understanding (NLU) to enable developers to build conversational interfaces and create chatbots. Amazon Lex can be integrated with other AWS services such as AWS Lambda, AWS Mobile Hub, and Amazon Connect to create a complete end-to-end conversational experience.
With Amazon Lex, developers can easily define the voice and text interactions for their chatbot application and use the NLU and ASR functionalities to understand the intent of the user's input and respond accordingly. The service can be used for both real-time and batch predictive analytics to identify potential customers for various new products launched based on their past behavior.
In contrast, Amazon Comprehend (option A) is a natural language processing (NLP) service that uses machine learning to extract insights from text and provides sentiment analysis, entity recognition, and topic modeling functionalities. Amazon Polly (option C) is a text-to-speech service that converts written text into lifelike speech, whereas Amazon SageMaker (option D) is a fully-managed platform that enables developers to build, train, and deploy machine learning models at scale.
In summary, Amazon Lex is the service that can provide the required capabilities of natural language understanding and automatic speech recognition to build chatbots for AFS's banking and financial solutions.