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Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning

We recently announced the general availability of cross-account sharing of Amazon SageMaker Model Registry using AWS Resource Access Manager (AWS RAM) , making it easier to securely share and discover machine learning (ML) models across your AWS accounts. Mitigation strategies : Implementing measures to minimize or eliminate risks.

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Streamline RAG applications with intelligent metadata filtering using Amazon Bedrock

AWS Machine Learning

In some use cases, particularly those involving complex user queries or a large number of metadata attributes, manually constructing metadata filters can become challenging and potentially error-prone. By implementing dynamic metadata filtering, you can significantly improve these metrics, leading to more accurate and relevant RAG responses.

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6 Amazing Online Accounting Courses

JivoChat

Having accounting skills is very important for entrepreneurs and managers from every industry sector. To help you with that, there are several online accounting courses from different levels. To help you with that, there are several online accounting courses from different levels. Accounting & Financial Statement Analysis.

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The crucial nuance behind seven top Customer Success metrics for SaaS companies

ChurnZero

Some Customer Success metrics are considered standard but there’s often more than meets the eye. Sales and marketing professionals that geek out on metrics can find themselves in deep philosophical debates about the best numbers to track. That nuance is derived from three underlying factors: Construct.

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Imperva optimizes SQL generation from natural language using Amazon Bedrock

AWS Machine Learning

Giving more power to the user comes on account of simple user experience (UX). Constructing SQL queries from natural language isn’t a simple task. Figure 2: High level database access using an LLM flow The challenge An LLM can construct SQL queries based on natural language. The challenge is to assure quality.

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Are You Winning on Purpose?—The Creator of the “Net Promoter” Tells Us How!

Beyond Philosophy

Unfortunately, Reichheld says too many organizations use NPS as a stick or a metric for earning bonuses. He says that the financial metrics most companies use for valuations point you toward the wrong investments. Reichheld also wanted it to be accounting-based because it is well regulated, and there are rules for measurement.

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Build an air quality anomaly detector using Amazon Lookout for Metrics

AWS Machine Learning

This post shows you how to use an integrated solution with Amazon Lookout for Metrics and Amazon Kinesis Data Firehose to break these barriers by quickly and easily ingesting streaming data, and subsequently detecting anomalies in the key performance indicators of your interest. You don’t need ML experience to use Lookout for Metrics.

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