AWS Machine Learning

AUGUST 29, 2022

On August 9, 2022, we announced the general availability of cross-account sharing of Amazon SageMaker Pipelines entities. You can now use cross-account support for Amazon SageMaker Pipelines to share pipeline entities across AWS accounts and access shared pipelines directly through Amazon SageMaker API calls. Solution overview.

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ShepHyken

APRIL 28, 2024

For context, these are the customers who continue to buy from you over and over again, and should account for the majority of your total sales. Years ago, the term “Big Data” became popular. I came up with the concept of “Micro Data,” which is about very personalized information about a smaller set of customers.

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Customer Service Advertising B2C Big data 183

AWS Machine Learning

MAY 3, 2023

This includes gathering, exploring, and understanding the business and technical aspects of the data, along with evaluation of any manipulations that may be needed for the model building process. One aspect of this data preparation is feature engineering. However, generalizing feature engineering is challenging.

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AWS Machine Learning

NOVEMBER 17, 2022

As data is growing at an exponential rate, organizations are looking to set up an integrated, cost-effective, and performant data platform in order to preprocess data, perform feature engineering, and build, train, and operationalize ML models at scale. In this post, we demonstrate how to implement this solution.

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Engineering Big data Accountability Government 81

AWS Machine Learning

APRIL 11, 2023

One important aspect of this foundation is to organize their AWS environment following a multi-account strategy. In this post, we show how you can extend that architecture to multiple accounts to support multiple LOBs. In this post, we show how you can extend that architecture to multiple accounts to support multiple LOBs.

APIs 90

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AWS Machine Learning

OCTOBER 20, 2023

This framework addresses challenges by providing prescriptive guidance through a modular framework approach extending an AWS Control Tower multi-account AWS environment and the approach discussed in the post Setting up secure, well-governed machine learning environments on AWS.

Government 130

Government Engineering Accountability Enterprise 130

AWS Machine Learning

MARCH 18, 2025

ASR and NLP techniques provide accurate transcription, accounting for factors like accents, background noise, and medical terminology. Text data integration The transcribed text data is integrated with other sources of adverse event reporting, such as electronic case report forms (eCRFs), patient diaries, and medication logs.

Healthcare 85

Healthcare Analytics Consulting Consulting 85

AWS Machine Learning

AUGUST 8, 2024

Users typically reach out to the engineering support channel when they have questions about data that is deeply embedded in the data lake or if they can’t access it using various queries. Having an AI assistant can reduce the engineering time spent in responding to these queries and provide answers more quickly.

Engineering 124

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AWS Machine Learning

MARCH 15, 2024

Healthcare organizations must navigate strict compliance regulations, such as the Health Insurance Portability and Accountability Act (HIPAA) in the United States, while implementing FL solutions. FedML Octopus is the industrial-grade platform of cross-silo FL for cross-organization and cross-account training.

Healthcare 129

Healthcare Big data Engineering Accountability 129

AWS Machine Learning

FEBRUARY 1, 2024

There are unique considerations when engineering generative AI workloads through a resilience lens. Make sure to validate prompt input data and prompt input size for allocated character limits that are defined by your model. If you’re performing prompt engineering, you should persist your prompts to a reliable data store.

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AWS Machine Learning

OCTOBER 30, 2023

The Amazon Bedrock VPC endpoint powered by AWS PrivateLink allows you to establish a private connection between the VPC in your account and the Amazon Bedrock service account. Use the following template to create the infrastructure stack Bedrock-GenAI-Stack in your AWS account. With an M.Sc.

APIs 142

APIs Big data Accountability Enterprise 142

AWS Machine Learning

DECEMBER 7, 2023

In this post, we describe how we reduced the modelling time by 70% by doing the feature engineering and modelling using Amazon Forecast. SARIMA extends ARIMA by incorporating additional parameters to account for seasonality in the time series. The Amazon Forecast models were eventually selected for the algorithmic modeling segment.

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AWS Machine Learning

JUNE 19, 2024

Prerequisites You need an AWS account and an AWS Identity and Access Management (IAM) role and user with permissions to create and manage the necessary resources and components for this application. If you don’t have an AWS account, see How do I create and activate a new Amazon Web Services account?

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APIs Engineering Accountability Big data 103

Branch Mesenger

MAY 2, 2018

Using Big Data to Make Leadership Advances in the Workplace. Keeps people accountable to their shifts. Efforts helped Best Buy crimp employee turnover “well into the double digits,” Timothy Embretson, director of retail user experience told the attendees at the Future Stores Miami conference in February of 2018.

Engineering 74

Engineering Morale Employee engagement Big data 74

AWS Machine Learning

JUNE 24, 2022

To overcome this, enterprises needs to shape a clear operating model defining how multiple personas, such as data scientists, data engineers, ML engineers, IT, and business stakeholders, should collaborate and interact; how to separate the concerns, responsibilities, and skills; and how to use AWS services optimally.

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AWS Machine Learning

OCTOBER 6, 2023

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. Another essential component is an orchestration tool suitable for prompt engineering and managing different type of subtasks. A feature store maintains user profile data.

Personalization 137

Personalization Engineering Construction Transportation 137

AWS Machine Learning

JUNE 17, 2024

With SageMaker Processing jobs, you can use a simplified, managed experience to run data preprocessing or postprocessing and model evaluation workloads on the SageMaker platform. Twilio needed to implement an MLOps pipeline that queried data from PrestoDB. Follow the instructions in the GitHub README.md

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Scripts Engineering Metrics Big data 122

AWS Machine Learning

AUGUST 31, 2023

In addition to data engineers and data scientists, there have been inclusions of operational processes to automate & streamline the ML lifecycle. Depending on your governance requirements, Data Science & Dev accounts can be merged into a single AWS account.

Government 121

Government Accountability Enterprise Best practices 121

AWS Machine Learning

AUGUST 21, 2024

Amazon DataZone allows you to create and manage data zones , which are virtual data lakes that store and process your data, without the need for extensive coding or infrastructure management. The data publisher is responsible for publishing and governing access for the bespoke data in the Amazon DataZone business data catalog.

Government 120

Government Banking Engineering Enterprise 120

AWS Machine Learning

AUGUST 21, 2023

Amazon SageMaker Data Wrangler reduces the time it takes to collect and prepare data for machine learning (ML) from weeks to minutes. In this post, we show how to use Lake Formation as a central data governance capability and Amazon EMR as a big data query engine to enable access for SageMaker Data Wrangler.

Engineering 97

Engineering Accountability Big data Sales 97

AWS Machine Learning

JULY 29, 2022

Reviewing the Account Balance chatbot. As an example, this demo deploys a bot to perform three automated tasks, or intents : Check Balance , Transfer Funds , and Open Account. For example, the Open Account intent includes four slots: First Name. Account Type. Complete the following steps: Log in to your AWS account.

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AWS Machine Learning

FEBRUARY 28, 2024

To address the challenges, our solution first incorporates the metadata of the data sources within the AWS Glue Data Catalog to increase the accuracy of the generated SQL query. Athena also allows us to use a multitude of supported endpoints and connectors to cover a large set of data sources. Set up the SDK for Python (Boto3).

Engineering 136

Engineering Best practices Analytics Enterprise 136

AWS Machine Learning

FEBRUARY 13, 2024

In our entire partnership, AWS has set the bar on customer obsession and delivering results—working with us the whole way to realize promised benefits.” – Keshav Kumar, Head of Engineering at BigBasket. About the Authors Santosh Waddi is a Principal Engineer at BigBasket, brings over a decade of expertise in solving AI challenges.

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Engineering Gamification Big data Scripts 129

AWS Machine Learning

NOVEMBER 24, 2023

With that, the need for data scientists and machine learning (ML) engineers has grown significantly. Data scientists and ML engineers require capable tooling and sufficient compute for their work. JuMa is now available to all data scientists, ML engineers, and data analysts at BMW Group.

Engineering 97

Engineering Analytics Self service Government 97

AWS Machine Learning

NOVEMBER 9, 2023

Central model registry – Amazon SageMaker Model Registry is set up in a separate AWS account to track model versions generated across the dev and prod environments. Approve the model in SageMaker Model Registry in the central model registry account. Create a pull request to merge the code into the main branch of the GitHub repository.

Scripts 123

Scripts Accountability Best practices Engineering 123

AWS Machine Learning

NOVEMBER 29, 2023

The no-code environment of SageMaker Canvas allows us to quickly prepare the data, engineer features, train an ML model, and deploy the model in an end-to-end workflow, without the need for coding. From the Import data page, select Snowflake from the list and choose Add connection. Huong Nguyen is a Sr.

Engineering 126

Engineering Big data Customer centricity Education 126

TechSee

OCTOBER 9, 2018

According to Accenture , Millennials have overtaken Baby Boomers as the largest consumer demographic, expected to account for 30% of retail sales — that’s $1.4 With big data and advanced analytics readily available, companies can provide Millennials with the acknowledgement they demand. Pay attention.

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AWS Machine Learning

DECEMBER 21, 2022

As feature data grows in size and complexity, data scientists need to be able to efficiently query these feature stores to extract datasets for experimentation, model training, and batch scoring. The offline store data is stored in an Amazon Simple Storage Service (Amazon S3) bucket in your AWS account. Conclusion.

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AWS Machine Learning

FEBRUARY 29, 2024

This enables data scientists to quickly build and iterate on ML models, and empowers ML engineers to run through continuous integration and continuous delivery (CI/CD) ML pipelines faster, decreasing time to production for models. Jinzhao Feng , is a Machine Learning Engineer at AWS Professional Services.

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Scripts Engineering Metrics Best practices 122

Squelch

AUGUST 6, 2019

She currently serves as SVP of Global Customer Success at Guavus , which she describes as “a big data real-time analytics company supporting the largest and most complex data infrastructures in the world.”. engineering, marketing, etc.) Do your CSMs influence engineering and product development? Absolutely.

Engineering 74

Engineering Big data Analytics Technology 74

AWS Machine Learning

FEBRUARY 2, 2023

The data distribution for punt and kickoff are different. Data preprocessing and feature engineering First, the tracking data was filtered for just the data related to punts and kickoff returns. As a baseline, we used the model that won our NFL Big Data Bowl competition on Kaggle.

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Calibration Engineering Big data Automotive 93

AWS Machine Learning

MARCH 10, 2023

Data Wrangler enables you to access data from a wide variety of popular sources ( Amazon S3 , Amazon Athena , Amazon Redshift , Amazon EMR and Snowflake) and over 40 other third-party sources. Starting today, you can connect to Amazon EMR Hive as a big data query engine to bring in large datasets for ML.

Engineering 97

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AWS Machine Learning

NOVEMBER 27, 2023

However, these models require massive amounts of clean, structured training data to reach their full potential. Most real-world data exists in unstructured formats like PDFs, which requires preprocessing before it can be used effectively. According to IDC , unstructured data accounts for over 80% of all business data today.

Engineering 99

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AWS Machine Learning

OCTOBER 2, 2024

This is often referred to as platform engineering and can be neatly summarized by the mantra “You (the developer) build and test, and we (the platform engineering team) do all the rest!” Malcolm Orr is a principal engineer at AWS and has a long history of building platforms and distributed systems using AWS services.

Government 125

Government APIs Enterprise Best practices 125

AWS Machine Learning

JUNE 3, 2024

Prepare your data As expected in the ML process, your dataset may require transformations to address issues such as missing values, outliers, or perform feature engineering prior to model building. SageMaker Canvas provides ML data transforms to clean, transform, and prepare your data for model building without having to write code.

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Surveys Metrics Analytics Engineering 120

AWS Machine Learning

JUNE 26, 2023

Personas represent the different types of users that need permissions to perform ML activities in SageMaker, such as data scientists or MLOps engineers. It comes with a set of predefined policy templates for different personas and ML activities. More SageMaker Role Manager CDK examples are available in the following GitHub repo.

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AWS Machine Learning

DECEMBER 14, 2023

ICL is a multi-national manufacturing and mining corporation based in Israel that manufactures products based on unique minerals and fulfills humanity’s essential needs, primarily in three markets: agriculture, food, and engineered materials. He was fortunate to research spatial and time series data in the precision agriculture domain.

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Engineering Big data outsourcing Education 109