Remove 2023 Remove Data Quality Remove IT Remove Metadata
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Maximize your data dividends with active metadata

IBM Big Data Hub

Metadata management performs a critical role within the modern data management stack. It helps blur data silos, and empowers data and analytics teams to better understand the context and quality of data. This, in turn, builds trust in data and the decision-making to follow. Improve data discovery.

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

Ontotext

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises. Cunningham.

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Octopai And Demand Chain Ai Announce Strategic Partnership To Accelerate Digital Transformation

Octopai

Battle Creek, Michigan — July 18, 2023 — Octopai, a global leader in data lineage and business intelligence automation, and Demand Chain AI, a pioneer in AI-driven demand forecasting and supply chain optimization, have today announced a strategic partnership.

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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

Generative AI is the biggest and hottest trend in AI (Artificial Intelligence) at the start of 2023. Love thy data: data are never perfect, but all the data may produce value, though not immediately. Clean it, annotate it, catalog it, and bring it into the data family (connect the dots and see what happens).

Strategy 290
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Prioritizing Data: Why a Solid Data Management Strategy Will Be Critical in 2024

Ontotext

In 2023, data leaders and enthusiasts were enamored of — and often distracted by — initiatives such as generative AI and cloud migration. Labeled property graphs and resource description frameworks will also help propel knowledge graph adoption because each is a powerful data model with strong synergies when combined.

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Analyst View: dScribe – The Key to Successful Data Cataloging Lies in User Empowerment

BI-Survey

dScribe data is an innovative start-up from Belgium that offers a data catalog focusing on easy implementation, maintenance and usage. dScribe sees lack of user adoption as the main reason for the failure of data catalog projects. In May 2023, it received a funding injection of €1.5 Who is dScribe?

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Introducing Amazon MWAA support for Apache Airflow version 2.7.2 and deferrable operators

AWS Big Data

Setup and Teardown tasks It’s common to build workflows that require ephemeral resources, for example an S3 bucket to temporarily store data, databases and corresponding datasets to run quality checks, or a compute cluster to train a model in a machine learning (ML) orchestration pipeline. Doing this manually is complex.

Metrics 104