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Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale

Flipboard

This post is part of an ongoing series about governing the machine learning (ML) lifecycle at scale. This post dives deep into how to set up data governance at scale using Amazon DataZone for the data mesh. However, as data volumes and complexity continue to grow, effective data governance becomes a critical challenge.

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How IBM and AWS are partnering to deliver the promise of AI for business

IBM Journey to AI blog

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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Tackling AI’s data challenges with IBM databases on AWS

IBM Journey to AI blog

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.

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Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 1

AWS Machine Learning Blog

Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at any single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository.

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Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2

AWS Machine Learning Blog

Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at a single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository.

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IBM to help businesses scale AI workloads, for all data, anywhere

IBM Journey to AI blog

Supporting the data management life cycle According to IDC’s Global StorageSphere, enterprise data stored in data centers will grow at a compound annual growth rate of 30% between 2021-2026. [2] Wasonx.data will be available on premises and across multiple cloud providers, including IBM Cloud and Amazon Web Services (AWS).

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Alation Cloud Service: Data Intelligence Just Got Simpler

Alation

Powered by the industry’s broadest and deepest connectivity, the Alation Data Catalog supports data intelligence use cases across an organization’s de facto hybrid cloud environments. Alation Cloud Service is available on AWS. This ensures the catalog remains as a mission-critical foundation for data intelligence in the cloud.