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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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Shaping the future: OMRON’s data-driven journey with AWS

AWS Machine Learning Blog

However, organizations often face significant challenges in realizing these benefits because of: Data silos Organizations often use multiple systems across regions or departments. Data governance challenges Maintaining consistent data governance across different systems is crucial but complex.

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Data governance 101: Building a strong foundation for your organization

Dataconomy

In an era where data is king, the ability to harness and manage it effectively can make or break a business. A comprehensive data governance strategy is the foundation upon which organizations can build trust with their customers, stay compliant with regulations, and drive informed decision-making. What is data governance?

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Data governance 101: Building a strong foundation for your organization

Dataconomy

In an era where data is king, the ability to harness and manage it effectively can make or break a business. A comprehensive data governance strategy is the foundation upon which organizations can build trust with their customers, stay compliant with regulations, and drive informed decision-making. What is data governance?

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Democratizing data for transparency and accountability

Dataconomy

While data democratization has many benefits, such as improved decision-making and enhanced innovation, it also presents a number of challenges. From lack of data literacy to data silos and security concerns, there are many obstacles that organizations need to overcome in order to successfully democratize their data.

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8 Tips for Smart City Data Governance

ODSC - Open Data Science

Proper data governance is crucial for long-term success. Common Smart City Data Governance Challenges Smart city data governance is the practice of managing the information generated by smart infrastructure. Insufficient Resources The first data governance challenge cities face is insufficient resources.

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Enhancing Data Fabric with SQL Asset Type in IBM Knowledge Catalog

IBM Data Science in Practice

In this blog, we explore how the introduction of SQL Asset Type enhances the metadata enrichment process within the IBM Knowledge Catalog , enhancing data governance and consumption. It enables organizations to seamlessly access and utilize data assets irrespective of their location or format.

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