O'Reilly Media

OCTOBER 19, 2021

While there isn’t an authoritative definition for the term, it shares its ethos with its predecessor, the DevOps movement in software engineering: by adopting well-defined processes, modern tooling, and automated workflows, we can streamline the process of moving from development to robust production deployments. Why did something break?

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ML ML Data Scientist AWS 145

AWS Machine Learning Blog

JUNE 5, 2023

Hyperparameter overview When training any machine learning (ML) model, you are generally dealing with three types of data: input data (also called the training data), model parameters, and hyperparameters. You use the input data to train your model, which in effect learns your model parameters.

Machine Learning 90

Machine Learning Machine Learning ML ML 90

DagsHub

AUGUST 22, 2023

Combining SageMaker with DagsHub provides a single source of truth to the project, managed in one place, including code, data, models, experiments, annotations, and now - computing resources and automation. Amazon SageMaker is a cloud-based machine learning platform provided by Amazon Web Services (AWS).

Machine Learning 52

Machine Learning Machine Learning AWS Algorithm 52

phData

MAY 25, 2023

However, Snowflake runs better on Azure than it does on AWS – so even though it’s not the ideal situation, Microsoft still sees Azure consumption when organizations host Snowflake on Azure. Creating an efficient data model can be the difference between having good or bad performance, especially when using DirectQuery.

Power BI 84

Power BI Analytics Analytics Azure 84

AWS Machine Learning Blog

NOVEMBER 10, 2023

Train and tune a custom model based on one of the major frameworks like Scikit-learn, TensorFlow, or PyTorch. AWS provides a selection of pre-made Docker images for this purpose. As mentioned before, if you have the chance, open the notebook and run the code cells step by step to create the artifacts in your AWS environment.

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ML ML Algorithm Python 109

IBM Journey to AI blog

SEPTEMBER 13, 2024

As a result, we’ve seen it move from a mid-tier customer Data Platform to the Leader position in the 2023 Gartner® Magic Quadrant™ Finally, we can say definitively that Cloudera Data Platform (CDP) is the most robust foundation as a comprehensive data solution inside the Salesforce ecosystem.

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AI AI Natural Language Processing Tableau 49

Pickl AI

JUNE 7, 2024

Summary: Choosing the right ETL tool is crucial for seamless data integration. Top contenders like Apache Airflow and AWS Glue offer unique features, empowering businesses with efficient workflows, high data quality, and informed decision-making capabilities. AWS Glue AWS Glue is Amazon’s serverless ETL tool.

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ETL Data Quality Data Pipeline Data Warehouse 40

DagsHub

OCTOBER 23, 2024

Here are some challenges you might face while managing unstructured data: Storage consumption: Unstructured data can consume a large volume of storage. For instance, if you are working with several high-definition videos, storing them would take a lot of storage space, which could be costly.

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Machine Learning Machine Learning Data Lakes AI 52

The MLOps Blog

OCTOBER 3, 2023

Mikiko Bazeley: You definitely got the details correct. I definitely don’t think I’m an influencer. It will store the features (including definitions and values) and then serve them. It’s almost like a very specialized data storage solution. For example, you can use BigQuery , AWS , or Azure.

ML 52

ML ML Data Scientist Machine Learning 52

AWS Machine Learning Blog

SEPTEMBER 18, 2024

In addition to its groundbreaking AI innovations, Zeta Global has harnessed Amazon Elastic Container Service (Amazon ECS) with AWS Fargate to deploy a multitude of smaller models efficiently. Additionally, Feast promotes feature reuse, so the time spent on data preparation is reduced greatly.

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AWS Machine Learning Machine Learning ML 114

AWS Machine Learning Blog

OCTOBER 16, 2024

In this post, we highlight how the AWS Generative AI Innovation Center collaborated with SailPoint Technologies to build a generative AI-based coding assistant that uses Anthropic’s Claude Sonnet on Amazon Bedrock to help accelerate the development of software as a service (SaaS) connectors.

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Machine Learning Machine Learning Data Modeling Data Models 80

AWS Machine Learning Blog

NOVEMBER 29, 2023

The following figure shows the framework to evaluate LLMs and LLM-based services: Amazon SageMaker Clarify LLM evaluation is an open-source Foundation Model Evaluation (FMEval) library developed by AWS to help customers easily evaluate LLMs. Jagdeep Singh Soni is a Senior Partner Solutions Architect at AWS based in Netherlands.

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Algorithm ML ML Data Scientist 104

phData

NOVEMBER 13, 2023

It’s about more than just looking at one project; dbt Explorer lets you see the lineage across different projects, ensuring you can track your data’s journey end-to-end without losing track of the details. Version Tracking: Displays version information for models, indicating whether they are prerelease, latest, or outdated.

Database 52

Database Business Intelligence Business Intelligence Data Silos 52

Mlearning.ai

JUNE 16, 2023

Generative AI can be used to automate the data modeling process by generating entity-relationship diagrams or other types of data models and assist in UI design process by generating wireframes or high-fidelity mockups. diagram Using ChatGPT to build system diagrams — Part II Generate C4 diagrams using mermaid.js

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AI AI Data Analysis Data Analysis 52

phData

JULY 18, 2023

Enter dbt dbt provides SQL-centric transformations for your data modeling and transformations, which is efficient for scrubbing and transforming your data while being an easy skill set to hire for and develop within your teams. It should also enable easy sharing of insights across the organization.

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Data Warehouse Analytics Analytics Cloud Data 52

AWS Machine Learning Blog

JANUARY 27, 2025

In such cases, SageMaker allows you to extend its functionality by creating custom container images and defining custom model definitions. This approach enables you to package your model artifacts, dependencies, and inference code into a container image, which you can deploy as a SageMaker endpoint for real-time inference.

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AWS Deep Learning Deep Learning Machine Learning 89

AWS Machine Learning Blog

MARCH 13, 2025

The security measures are inherently integrated into the AWS services employed in this architecture. We used a dataset that consisted of 30 labeled data points and 100,000 unlabeled test data points. If youre interested in working with the AWS Generative AI Innovation Center, please reach out.

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AWS AI AI Machine Learning 99

AWS Machine Learning Blog

MARCH 18, 2025

JSONs inherently structured format allows for clear and organized representation of complex data such as table schemas, column definitions, synonyms, and sample queries. This structure facilitates quick parsing and manipulation of data in most programming languages, reducing the need for custom parsing logic.

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SQL Database AI AI 94