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Data Integrity, the Basis for Reliable Insights

Sisense

Uncomfortable truth incoming: Most people in your organization don’t think about the quality of their data from intake to production of insights. However, as a data team member, you know how important data integrity (and a whole host of other aspects of data management) is. What is data integrity?

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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

Given the end-to-end nature of many data products and applications, sustaining ML and AI requires a host of tools and processes, ranging from collecting, cleaning, and harmonizing data, understanding what data is available and who has access to it, being able to trace changes made to data as it travels across a pipeline, and many other components.

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KGF 2023: Bikes To The Moon, Datastrophies, Abstract Art And A Knowledge Graph Forum To Embrace Them All

Ontotext

So, KGF 2023 proved to be a breath of fresh air for anyone interested in topics like data mesh and data fabric , knowledge graphs, text analysis , large language model (LLM) integrations, retrieval augmented generation (RAG), chatbots, semantic data integration , and ontology building.

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7 steps for turning shadow IT into a competitive edge

CIO Business Intelligence

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years. There may be times when department-specific data needs and tools are required.

IT 137
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Top 4 Ways to Improve Storage Performance and Increase Agility

CDW Research Hub

With a hybrid cloud model, you can store data as you see fit, move easily between public and private clouds, maximize control and security, and alter capacity on-demand to meet capacity in real-time. This helps companies accelerate time to market and easily deploy and manage their environments.

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Big Data Ingestion: Parameters, Challenges, and Best Practices

datapine

Large streams of data generated via myriad sources can be of various types. Here are some of them: Marketing data: This type of data includes data generated from market segmentation, prospect targeting, prospect contact lists, web traffic data, website log data, etc. Artificial Intelligence.

Big Data 100
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5 tips for maximizing ROI of IT projects

CIO Business Intelligence

Hosting the entire infrastructure on-premise will turn out to be exorbitant,” he says. Any changes in market demands and user requirements can be considered in subsequent sprints. As the final step for ensuring payment, integration compliance on payments must be introduced through PCI-compliant coding.

ROI 132