Remove 12 how-to-implement-data-engineering-in-practice
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Knowledge Bases for Amazon Bedrock now supports custom prompts for the RetrieveAndGenerate API and configuration of the maximum number of retrieved results

AWS Machine Learning Blog

With Knowledge Bases for Amazon Bedrock , you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for Retrieval Augmented Generation (RAG). Access to additional data helps the model generate more relevant, context-specific, and accurate responses without retraining the FMs. Choose Test knowledge base.

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Getir end-to-end workforce management: Amazon Forecast and AWS Step Functions

AWS Machine Learning Blog

In the past, operational teams engaged in manual workforce management practices, which resulted in a significant waste of time and effort. In this post, we describe how we reduced the modelling time by 70% by doing the feature engineering and modelling using Amazon Forecast.

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Seattle Police Department using AI software to analyze body cam footage and officer behavior

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Seattle is an “ anchor customer ” for the software, according to Chicago-based startup Truleo, a startup founded in 2021 that grew out of a platform first developed to analyze phone calls and text messages between Wall Street bankers. The Seattle Police Department has been using the technology since last year, the company says.

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Distributed differential privacy for federated learning

Google Research AI blog

This allows the training of models on locally available signals without exposing raw data to servers, increasing user privacy. Scaling secure aggregation Data minimization is an important privacy principle behind federated learning. This is precisely what the SecAgg protocol achieves, under rigorous cryptographic guarantees.

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What Is DataOps? Definition, Principles, and Benefits

Alation

The term has been used a lot more of late, especially in the data analytics industry, as we’ve seen it expand over the past few years to keep pace with new regulations, like the GDPR and CCPA. In essence, DataOps is a practice that helps organizations manage and govern data more effectively. What Is DataOps?

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Predicting new and existing product sales in semiconductors using Amazon Forecast

AWS Machine Learning Blog

& AWS Machine Learning Solutions Lab (MLSL) Machine learning (ML) is being used across a wide range of industries to extract actionable insights from data to streamline processes and improve revenue generation. Furthermore, the NXP team is also interested in predicting the product lifecycle of newly introduced products.

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What Are ChatGPT and Its Friends?

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What is it, how does it work, what can it do, and what are the risks of using it? Many of these go slightly (but not very far) beyond your initial expectations: you can ask it to generate a list of terms for search engine optimization, you can ask it to generate a reading list on topics that you’re interested in. It’s much more.

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