![]() 54% of customers expect companies to change the way they connect with them.Considering developing technologies such as chatbots and voice assistants, 58% of customers think they have higher expectations of businesses.77% expect chatbots to turn their expectations of businesses in the next five years.86% of consumers prefer to speak to a chatbot than fill out a form to get answers.Salesforce’s State of the Connected Customer study states: Simply said, if you aren’t investing in chatbots, you are missing out. Get started on your AWS journey with us today.Chatbots have now become a common feature of the e-commerce environment and are spreading into various fields of business and technology. These build conversation bots are adaptable and can be customized based on the requests from the customers. ![]() With AWS Powered NextGen MSP, the organizations can install Amazon n Lex to build Conversation Bots as a communication medium through B2B/ B2C portals. MSP need to have a transformation framework that assesses the organization’s current capability and provides a structured approach to a DevOps transition. In summary, based on the goals of AWS NextGen Managed Service Provider which redefines the Traditional MSP business model and the go-to-market strategies. You can publish it on mobile devices, web apps, and chat services easily. Seamless deploymentĪmazon Lex allows the developer to build, test, and deploy the AWS chatbot directly from the Amazon Console. Amazon Lex has the deep learning algorithm which converts the speech to text, allowing the developer to focus on the chatbot their organization needs instead of creating complicated algorithms. Deep Expertise is not a mustĪmazon Lex provides ASR and NLU technologies to create a Speech-Language Understanding (SLU) system which is one of the most complicated parts of the service. Built-in integration with the AWSĪmazon Lex has built-in integration with other AWS services like Amazon Cognito, AWS Lambda, Amazon CloudWatch, and AWS Mobile Hub. Interested buyers can also opt for a free tier option without any advance investment. Cost-EffectiveĪmazon Lex does not have any minimum fee. With this model only the chatbot can have a conversation with the end-user. It is a great tool which enables the developer to provide just a few example phrases while developing an AWS chatbot service, and it creates its own complete natural language models. Here the benefits of Amazon Lex: Easy to UseĪmazon Lex offers easy-to-use console and does not show its complicated algorithm to the developer or the user. ![]() Many well-reputed companies have taken the services of Amazon Lex. By using Amazon Lex, it helps to manage all of those question automatically, and decreasing the resources for that activity. The next generation MSP can use the advanced technology on AWS to solve this problem. We can imagine how much resources need to be allocated on these particular activities. ![]() For example, in managing the customer request which usually comes to MSP portal, traditionally there is a person who answers those requests or questions manually. The answer is automation, it helps MSP to save resources and time to do the operation. To answer this challenge there are AWS tools that can leverage the traditional system into more intelligent. Organizations transforming into digitalization are often surprised by the high costs of their Traditional MSP services and struggle to manage frameworks and governance across the organization. Operating a system across multiple environments is challenging enough.
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