Flipboard

DECEMBER 17, 2024

Build responsible AI applications with Guardrails Amazon Bedrock Guardrails provides configurable safeguards to help safely build generative AI

Data Governance 127

Data Governance AWS AI AI 127

Flipboard

NOVEMBER 27, 2024

In the context of enterprise data asset search powered by a metadata catalog hosted on services such Amazon DataZone, AWS Glue, and other third-party catalogs, knowledge graphs can help integrate this linked data and also enable a scalable search paradigm that integrates metadata that evolves over time.

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AWS Machine Learning Blog

FEBRUARY 25, 2025

Using an Amazon Q Business custom data source connector , you can gain insights into your organizations third party applications with the integration of generative AI and natural language processing. Alation is a data intelligence company serving more than 600 global enterprises, including 40% of the Fortune 100.

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AWS Machine Learning Blog

AUGUST 21, 2024

Amazon DataZone is a data management service that makes it quick and convenient to catalog, discover, share, and govern data stored in AWS, on-premises, and third-party sources. An Amazon DataZone domain and an associated Amazon DataZone project configured in your AWS account.

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Machine Learning Machine Learning Data Governance ML 125

AWS Machine Learning Blog

NOVEMBER 13, 2024

This required custom integration efforts, along with complex AWS Identity and Access Management (IAM) policy management, further complicating the model governance process. We demonstrated through code how to register a model and update it with governance, technical, and business metadata in SageMaker Model Registry.

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ML ML AWS Data Preparation 117

Alation

MAY 24, 2022

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

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Data Quality Data Governance ETL Data Observability 98

Flipboard

MAY 30, 2025

Throughout these examples, you will learn how the comprehensive suite of AWS services, including Amazon Bedrock and Amazon SageMaker , are the key to success. A key challenge is synthesizing diverse data into cohesive listings across more than 50 attributes, both textual and numerical.

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AWS Machine Learning Blog

MARCH 25, 2025

However, you need to set up the infrastructure, implement data governance, and enable security and monitoring. The complete code for this example is available in the AWS Samples GitHub repository. Prerequisites To follow along with this post, you need an AWS account with the appropriate permissions.

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AWS Machine Learning Blog

DECEMBER 18, 2024

Training an LLM is a compute-intensive and complex process, which is why Fastweb, as a first step in their AI journey, used AWS generative AI and machine learning (ML) services such as Amazon SageMaker HyperPod. The team opted for fine-tuning on AWS.

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Clustering AWS AI AI 102

AWS Machine Learning Blog

JANUARY 13, 2023

FL doesn’t require moving or sharing data across sites or with a centralized server during the model training process. In this two-part series, we demonstrate how you can deploy a cloud-based FL framework on AWS. Participants can either choose to maintain their data in their on-premises systems or in an AWS account that they control.

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Data Science Dojo

OCTOBER 31, 2024

The rise of big data technologies and the need for data governance further enhance the growth prospects in this field. Machine Learning Engineer Description Machine Learning Engineers are responsible for designing, building, and deploying machine learning models that enable organizations to make data-driven decisions.

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IBM Journey to AI blog

OCTOBER 30, 2023

Businesses globally recognize the power of generative AI and are eager to harness data and AI for unmatched growth, sustainable operations, streamlining and pioneering innovation. In this quest, IBM and AWS have forged a strategic alliance, aiming to transition AI’s business potential from mere talk to tangible action.

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IBM Journey to AI blog

MARCH 14, 2024

The solution: IBM databases on AWS To solve for these challenges, IBM’s portfolio of SaaS database solutions on Amazon Web Services (AWS), enables enterprises to scale applications, analytics and AI across the hybrid cloud landscape. Let’s delve into the database portfolio from IBM available on AWS. 

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AWS Machine Learning Blog

OCTOBER 2, 2024

In this post, we share AWS guidance that we have learned and developed as part of real-world projects into practical guides oriented towards the AWS Well-Architected Framework , which is used to build production infrastructure and applications on AWS. We focus on the operational excellence pillar in this post.

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AWS Machine Learning Blog

FEBRUARY 20, 2025

It employs a retrieval augmented generation (RAG) approach and a combination of AWS services alongside proprietary evaluations to promptly answer most user questions about the capabilities of the Verisk PAAS platform. Arun Pradeep Selvaraj is a Senior Solutions Architect at AWS. Connect with him on LinkedIn.

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AI AI AWS Data Governance 119

AWS Machine Learning Blog

APRIL 30, 2025

This post explores key insights and lessons learned from AWS customers in Europe, Middle East, and Africa (EMEA) who have successfully navigated this transition, providing a roadmap for others looking to follow suit. Il Sole 24 Ore leveraged its vast internal knowledge with a Retrieval Augmented Generation (RAG) solution powered by AWS.

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AWS Machine Learning Blog

JANUARY 13, 2023

Because they’re in a highly regulated domain, HCLS partners and customers seek privacy-preserving mechanisms to manage and analyze large-scale, distributed, and sensitive data. To mitigate these challenges, we propose a federated learning (FL) framework, based on open-source FedML on AWS, which enables analyzing sensitive HCLS data.

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AWS Machine Learning Blog

OCTOBER 20, 2023

Customers of every size and industry are innovating on AWS by infusing machine learning (ML) into their products and services. However, implementing security, data privacy, and governance controls are still key challenges faced by customers when implementing ML workloads at scale.

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AWS Machine Learning Blog

AUGUST 21, 2023

You can streamline the process of feature engineering and data preparation with SageMaker Data Wrangler and finish each stage of the data preparation workflow (including data selection, purification, exploration, visualization, and processing at scale) within a single visual interface. Choose Create stack.

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AWS Machine Learning Blog

NOVEMBER 1, 2024

Druva enables cyber, data, and operational resilience for thousands of enterprises, and is trusted by 60 of the Fortune 500. Customers use Druva Data Resiliency Cloud to simplify data protection, streamline data governance, and gain data visibility and insights. The FM can’t initiate actions independently.

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Precisely

FEBRUARY 26, 2025

If pain points like these ring true for you, theres great news weve just announced significant enhancements to our Precisely Data Integrity Suite that directly target these challenges! Then, youll be ready to unlock new efficiencies and move forward with confident data-driven decision-making.

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AWS Machine Learning Blog

JUNE 5, 2023

To simplify access to Parquet files, Amazon SageMaker Canvas has added data import capabilities from over 40 data sources , including Amazon Athena , which supports Apache Parquet. Canvas provides connectors to AWS data sources such as Amazon Simple Storage Service (Amazon S3), Athena, and Amazon Redshift. Choose Grant.

Machine Learning 98

Machine Learning Machine Learning AWS Data Lakes 98

Alation

SEPTEMBER 8, 2022

That’s why when it was announced that Alation achieved Amazon Web Services (AWS) Data and Analytics Competency in the data governance and security category, we were not only honored to receive this coveted designation, but we were also proud that it confirms the synergy — and customer benefits — of our AWS partnership.

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AWS Machine Learning Blog

FEBRUARY 13, 2024

SageMaker Feature Store now makes it effortless to share, discover, and access feature groups across AWS accounts. With this launch, account owners can grant access to select feature groups by other accounts using AWS Resource Access Manager (AWS RAM). Review the access policy to understand permissions granted.

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AWS Machine Learning Blog

OCTOBER 17, 2024

Amazon EFS provides a scalable fully managed elastic NFS file system for AWS compute instances. Using this folder, users can share data between their own private spaces. This means that each user within the domain will have their own private space on the EFS file system, allowing them to store and access their own data and files.

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Alation

NOVEMBER 11, 2021

As IT leaders oversee migration, it’s critical they do not overlook data governance. Data governance is essential because it ensures people can access useful, high-quality data. Therefore, the question is not if a business should implement cloud data management and governance, but which framework is best for them.

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Data Science Blog

JULY 23, 2023

However, this concept on the Azure Cloud is just an example and can easily be implemented on the Google Cloud (GCP), Amazon Cloud (AWS) and now even on the SAP Cloud (Datasphere) using Databricks. Databricks is an ideal tool for realizing a Data Mesh due to its unified data platform, scalability, and performance.

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AWS Machine Learning Blog

JULY 23, 2024

For audio logs, choose an S3 bucket to store the logs and assign an AWS Key Management Service (AWS KMS) key for added security. The following is a sample AWS Lambda function code in Python for referencing the slot value of a phone number provided by the user. Choose Manage conversation logs. Select Selectively log utterances.

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AWS Machine Learning Blog

FEBRUARY 10, 2025

Background Appian , an AWS Partner with competencies in financial services, healthcare, and life sciences, is a leading provider of low-code automation software to streamline and optimize complex business processes for enterprises. This helps enhance the extracted data with deeper insights and contextual understanding.

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AWS Machine Learning Blog

APRIL 26, 2023

Through ML EBA, experienced AWS ML subject matter experts work side by side with your cross-functional team to provide prescriptive guidance, remove blockers, and build organizational capability for a continued ML adoption. Additionally, AWS can offer financial incentives to help offset the costs for your first ML use case.

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AWS Machine Learning Blog

NOVEMBER 16, 2023

This is a joint blog with AWS and Philips. Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care. Data Management – Efficient data management is crucial for AI/ML platforms.

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AWS Machine Learning Blog

JULY 2, 2024

This helps maintain data privacy and security, preventing sensitive or restricted information from being inadvertently surfaced or used in generated responses. This access control approach can be extended to other relevant metadata fields, such as year or department, further refining the subset of data accessible to each user or application.

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Data Science Dojo

JULY 6, 2023

Amazon Redshift: Amazon Redshift is a cloud-based data warehousing service provided by Amazon Web Services (AWS). Amazon Redshift allows data engineers to analyze large datasets quickly using massively parallel processing (MPP) architecture. Seamless Data Integration : Connect and integrate data from diverse sources easily.

Data Engineer 195

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IBM Journey to AI blog

JUNE 20, 2024

This growth underscores the escalating need for robust governance frameworks that ensure AI systems are transparent, fair and comply with increasing regulatory demands. Data security and privacy Ensuring the security and privacy of data used in AI models is crucial.

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AWS Machine Learning Blog

MARCH 4, 2024

Finally, the service approach allows for a single point to implement any data governance and security policies that evolve as AI governance matures in the organization. If you interested in reading about other intriguing Amazon Bedrock applications, see the Amazon Bedrock specific section of the AWS Machine Learning Blog.

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AWS Machine Learning Blog

MAY 9, 2024

These encompass a holistic approach, covering data governance, model development, ethical deployment, and ongoing monitoring, reinforcing the organization’s commitment to responsible and ethical AI/ML practices. Data governance is essential for AI applications, because these applications often use large amounts of data.

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AWS Machine Learning Blog

MAY 9, 2024

It relies on a Retrieval Augmented Generation (RAG) approach and a mix of AWS services and proprietary configuration to instantly answer most user questions about the Verisk FAST platform’s extensive capabilities. The pipeline architecture allows for iterative enhancement as Verisk FAST’s use cases evolve.

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