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The future of data: A 5-pillar approach to modern data management

CIO Business Intelligence

Digital transformation started creating a digital presence of everything we do in our lives, and artificial intelligence (AI) and machine learning (ML) advancements in the past decade dramatically altered the data landscape. Historically, this pillar was part of analytics and reporting, and it remains so in many cases.

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What Is Data Governance? (And Why Your Organization Needs It)

erwin

Organizations with a solid understanding of data governance (DG) are better equipped to keep pace with the speed of modern business. In this post, the erwin Experts address: What Is Data Governance? Why Is Data Governance Important? What Is Good Data Governance? What Is Data Governance?

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Data Governance Maturity and Tracking Progress

erwin

Data governance is best defined as the strategic, ongoing and collaborative processes involved in managing data’s access, availability, usability, quality and security in line with established internal policies and relevant data regulations. Data Governance Is Business Transformation. Predictability.

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7 types of tech debt that could cripple your business

CIO Business Intelligence

Types of data debt include dark data, duplicate records, and data that hasnt been integrated with master data sources. Using the companys data in LLMs, AI agents, or other generative AI models creates more risk.

Risk 140
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The DataOps Vendor Landscape, 2021

DataKitchen

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . GitHub – A provider of Internet hosting for software development and version control using Git.

Testing 304
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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

Data landscape in EUROGATE and current challenges faced in data governance The EUROGATE Group is a conglomerate of container terminals and service providers, providing container handling, intermodal transports, maintenance and repair, and seaworthy packaging services. Eliminate centralized bottlenecks and complex data pipelines.

IoT 111
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HEMA accelerates their data governance journey with Amazon DataZone

AWS Big Data

Each service is hosted in a dedicated AWS account and is built and maintained by a product owner and a development team, as illustrated in the following figure. Implementing robust data governance is challenging. In a data mesh architecture, this complexity is amplified by the organizations decentralized nature.