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Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

AWS Machine Learning

For example, in an application that recommends a music playlist, features could include song ratings, listening duration, and listener demographics. SageMaker Feature Store now makes it effortless to share, discover, and access feature groups across AWS accounts. Features are inputs to ML models used during training and inference.

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Provide live agent assistance for your chatbot users with Amazon Lex and Talkdesk cloud contact center

AWS Machine Learning

The integration of Amazon Lex with Talkdesk cloud contact center is inspired by WaFd Bank (WaFd)’s digital innovation journey to enhance customer experience. For example, the following figure shows screenshots of a chatbot transitioning a customer to a live agent chat (courtesy of WaFd Bank).

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Real-time fraud detection using AWS serverless and machine learning services

AWS Machine Learning

Online fraud has a widespread impact on businesses and requires an effective end-to-end strategy to detect and prevent new account fraud and account takeovers, and stop suspicious payment transactions. Example use cases for this could be payment processing or high-volume account creation.

APIs 114
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Advantages of Banking Virtualization

Revation Systems

While many customers are still most comfortable banking at their local brick-and-mortar branch location, we’d like to think it’s because they enjoy seeing their favorite teller and not because they’re afraid to try online banking. On the other hand, banking virtualization allows for a much more streamlined on-the-go process.

Banking 48
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Schneider Electric leverages Retrieval Augmented LLMs on SageMaker to ensure real-time updates in their ERP systems

AWS Machine Learning

Enterprise Resource Planning (ERP) systems are used by companies to manage several business functions such as accounting, sales or order management in one system. In particular, they are routinely used to store information related to customer accounts. See the following example: Question: Who is the parent company of One Medical?

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Integrate Amazon Lex and Uneeq’s digital human platform

AWS Machine Learning

Amazon API Gateway. The Uneeq digital human interfaces with a simple REST API, configured with Lambda proxy integration that in turn interacts with a deployed Amazon Lex bot. For example, “Hi, my name is Crissy and I am your digital assistant today. Access to the following AWS services: Amazon API Gateway. AWS Lambda.

APIs 83
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What is a metabot? Why should you choose one for your chatbot project?

Inbenta

Metabot example in chatbots. allowing a user to create an account, upgrade or modify a booking, or order a product— chances are you’ll need to stack different bots to be able to process these complex requests. . Let’s use an example to make it clearer. Metabot example in chatbots. Contents: What is a metabot?