Remove Data Engineering Remove Knowledge Base Remove Metrics
article thumbnail

Principal Financial Group uses QnABot on AWS and Amazon Q Business to enhance workforce productivity with generative AI

AWS Machine Learning - AI

As Principal grew, its internal support knowledge base considerably expanded. Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles.

article thumbnail

Build your gen AI–based text-to-SQL application using RAG, powered by Amazon Bedrock (Claude 3 Sonnet and Amazon Titan for embedding)

AWS Machine Learning - AI

Additionally, the complexity increases due to the presence of synonyms for columns and internal metrics available. I am creating a new metric and need the sales data. These logs can be used to test the accuracy and enhance the context by providing more details in the knowledge base. Business Analyst at Amazon.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Why Reinvent the Wheel? The Challenges of DIY Open Source Analytics Platforms

Cloudera

data engineering pipelines, machine learning models). In addition to its configuration capabilities, Cloudera Manager is able to visualize metrics for all open source projects and management services used by platform tenants and deliver critical insights to platform administrators that help them with decision making.

article thumbnail

How RAG Based Custom LLM can transform your Analysis Phase Journey

Capgemini

As a Google Cloud Partner , in this instance we refer to text-based Gemini 1.5 Pro automates and enhances requirements engineering, by using a retrieval system that fetches relevant document chunks from a large knowledge base, as well as an LLM that produces answers to prompts using the information from those chunks.

article thumbnail

Kentik Detect for FinServ Networks: Real-World Use Cases

Kentik

This allows non-technical stakeholders from product, marketing, sales, management, and executives to understand the data and gain insight in terms that are relevant to their roles. To learn more about Custom Dimensions, check out our Knowledge Base article. For more information, check out our Dashboards Knowledge Base article.

Network 40
article thumbnail

Monitoring DNS with Kentik Detect

Kentik

Dashboards for DNS Metrics Reveal Issues With Your Infrastructure. This information is turned into flow data and sent over an SSL encrypted channel to the Kentik Data Engine (KDE), from which it is queryable in Kentik Detect. For a deeper dive, see our Knowledge Base article on Host Configuration.).

IPv6 40
article thumbnail

Kentik APIs Enable Multi-Solution Integration

Kentik

To see the full variety of the calls that are available you can refer to our Knowledge Base, which covers both Admin APIs and the Query API. This allows our customers to skip a lot of the heavy lifting that would otherwise be involved in pulling in their Kentik data alongside the other data that they are already graphing.