Remove 2012 Remove Accountability Remove Chatbots
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Detect and protect sensitive data with Amazon Lex and Amazon CloudWatch Logs

AWS Machine Learning

For example, you may have the following data types: Name Address Phone number Email address Account number Email address and physical mailing address are often considered a medium classification level. These policies allow to audit and mask sensitive data that appears in log events ingested by the log groups in your account.

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Large language model inference over confidential data using AWS Nitro Enclaves

AWS Machine Learning

LLMs have broad applicability, including chatbots, content generation, language translation, sentiment analysis, question answering systems, search engines, and code generation. Most current LLM chatbot solutions explicitly inform users that they should not include PII or PHI when inputting questions due to security concerns.

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Integrate QnABot on AWS with ServiceNow

AWS Machine Learning

Conversational AI (or chatbots) can help triage some of these common IT problems and create a ticket for the tasks when human assistance is needed. Chatbots quickly resolve common business issues, improve employee experiences, and free up agents’ time to handle more complex problems.

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Manage your Amazon Lex bot via AWS CloudFormation templates

AWS Machine Learning

It employs advanced deep learning technologies to understand user input, enabling developers to create chatbots, virtual assistants, and other applications that can interact with users in natural language.

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Access control for vector stores using metadata filtering with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

Here are a few examples and use cases across different domains: A company uses a chatbot to help HR personnel navigate employee files. The following GitHub repository provides a guided notebook that you can follow to deploy this example in your own account. The following diagram illustrates the solution architecture.

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Bots and Biometrics for Financial Services: Putting the “B” in Banking

Avaya

94% of customers now use their smartphones to check account balances and recent transactions. This chatbot ecosystem is only expected to further grow as the technology sophisticates. Today, nearly every financial process has been digitally redefined. Over 60% of customers would consider storing key documents in a “virtual vault”.

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Top types of customer communication channels

Comm100

AI-powered chatbots. According to a 2012 Aberdeen Group Report , companies that use live chat save up to 50% or more on support costs versus other methods. Chatbots are how businesses can make those conversations scale. Chatbots are how businesses can make those conversations scale. Knowledge base. Social media.