Artificial Intelligence
Author: Shanthan Kesharaju
Shanthan Kesharaju is a Senior Product Manager in AWS Kumo organization. Shanthan has over a decade of experience managing diverse teams in both product and engineering. He is an award winning product manager and has built top trending Alexa skills. Shanthan has an MBA in Marketing from Duke University.
Active learning workflow for Amazon Comprehend custom classification models – Part 2
Update Sep 2021: Amazon Comprehend has launched a suite of features for Comprehend Custom to enable continuous model improvements by giving developers the ability to version custom models, new training options for custom entity recognition models that reduce data preprocessing, ability to provide specific test sets during training, and live migration to new model endpoints. Refer to […]
Active learning workflow for Amazon Comprehend custom classification models – Part 1
Update Sep 2021: Amazon Comprehend has launched a suite of features for Comprehend Custom to enable continuous model improvements by giving developers the ability to version custom models, new training options for custom entity recognition models that reduce data preprocessing, ability to provide specific test sets during training, and live migration to new model endpoints. Refer to […]
Using a test framework to design better experiences with Amazon Lex
November 2022: This post was updated to work for Amazon Lex V2. Chatbots have become an increasingly important channel for businesses to service their customers. Chatbots provide 24/7 availability and can help customers interact with brands anywhere, anytime and on any device. To effectively utilize chatbots, they must be built with good design, development, test, […]
Creating an intelligent ticket routing solution using Slack, Amazon AppFlow, and Amazon Comprehend
Support tickets, customer feedback forms, user surveys, product feedback, and forum posts are some of the documents that businesses collect from their customers and employees. The applications used to collect these case documents typically include incident management systems, social media channels, customer forums, and email. Routing these cases quickly and accurately to support groups best […]
Building a real-time conversational analytics platform for Amazon Lex bots
Conversational interfaces like chatbots have become an important channel for brands to communicate with their customers, partners, and employees. They offer faster service, 24/7 availability, and lower service costs. By analyzing your bot’s customer conversations, you can discover challenges in user experience, trending topics, and missed utterances. These additional insights can help you identify how […]
Creating a multi-department enterprise search using custom attributes in Amazon Kendra
An enterprise typically houses multiple departments such as engineering, finance, legal, and marketing, creating a growing number of documents and content that employees need to access. Creating a search experience that intuitively delivers the right information according to an employee’s role, and the department is critical to driving productivity and ensuring security. Amazon Kendra is a […]
Create a multi-region Amazon Lex bot with Amazon Connect for high availability
AWS customers rely on Amazon Lex bots to power their Amazon Connect self service conversational experiences on telephone and other channels. With Amazon Lex, callers (or customers, in Amazon Connect terminology) can get their questions conveniently answered regardless of agent availability. What architecture patterns can you use to make a bot resilient to service availability issues? In this […]