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The Gold Standard – The Key to Information Extraction and Data Quality Control

Ontotext

If these sample sets are not of high quality, clean and representative, we cannot hope to train the algorithms to get useful results. Beyond training, each and every AI system, be it based on symbolic rules or statistical models, has to be evaluated, in the same way children take exams to graduate.

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The Human-Centric CDO: 3 Key Takeaways from the Gartner Data & Analytics Summit 2023 in London

Alation

D&A leaders from around the world gathered to discuss and find ways to overcome the latest challenges through strategies and innovations backed by data, analytics, and data science. The observations comprised a mix of classic (the power of people, data quality ), recent (architectures such as fabric and mesh ), and emerging (AI).

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Using Strategic Data Governance to Manage GDPR/CCPA Complexity

erwin

It also helps enterprises put these strategic capabilities into action by: Understanding their business, technology and data architectures and their inter-relationships, aligning them with their goals and defining the people, processes and technologies required to achieve compliance. How erwin Can Help.

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A summary of Gartner’s recent DataOps-driven data engineering best practices article

DataKitchen

Data Engineering teams often deliver to one or more self-service teams in a hub and spoke or data enablement organization model. This idea sometimes means sh** flows downhill to the data engineer team from self-service teams – your team gets all the blame and none of the glory from delivering business value.

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A Data Analyst’s Guide to the Data Catalog

Alation

And today, it’s much harder to scale a person than a machine learning model. An enterprise data catalog is one such key asset. From that sample, analysts can glean a better sense of the state of the data, how it’s structured, and how they might work with it. Learn more about how a data catalog can accelerate analytical insights.

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Data Observability and Monitoring with DataOps

DataKitchen

Below we will illustrate the practices and technologies that enable data observability using the DataKitchen DataOps Platform which is specifically built to ease and accelerate the implementation of DataOps data observability. You and your data team can accomplish the same thing at your organization. Data Quality.

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The 6 Layers of an IoT Solution

CDW Research Hub

The CompTIA IoT Advisory Council recently published a white paper called The Six Layers of an IoT Solution guide, which breaks down these layers and provides overarching guidance on IoT security to give IT solution practitioners more holistic knowledge of IoT solutions. As each solution varies, so will your data processing needs.

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