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Feature Platforms?—?A New Paradigm in Machine Learning Operations (MLOps)

IBM Data Science in Practice

VC Investment in AI firms rose from USD 3 billion in 2012 to close to USD 75 billion in 2020 This trend led to the proliferation of companies developing tools to address different pain points in the machine learning lifecycle. This complexity is compounded even further by the need to manage data across hybrid and multi-cloud environments.

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Data Governance Program: Ensuring a Successful Delivery

Alation

According to analysts, data governance programs have not shown a high success rate. According to CIOs , historical data governance programs were invasive and suffered from one of two defects: They were either forced on the rank and file — who grew to dislike IT as a result. The Risks of Early Data Governance Programs.

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How IBM HR and the Chief Data Office partnered to drive data quality, increased productivity and a move to higher value work

IBM Journey to AI blog

Companies rely heavily on data and analytics to find and retain talent, drive engagement, and improve productivity. However, analytics are only as good as the quality of the data, which aims to be error-free, trustworthy, and transparent. According to a Gartner report , poor data quality costs organizations an average of USD $12.9

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The Value of Catalog-Led Data Governance

Alation

This week I was talking to a data practitioner at a global systems integrator. The practitioner asked me to add something to a presentation for his organization: the value of data governance for things other than data compliance and data security. Now to be honest, I immediately jumped onto data quality.

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An Evolved Data Catalog, a Centaur, and the Letter E: Alation’s 2022 in Review

Alation

The 2022 Data Catalog Wasn’t Your 2021 Data Catalog. The Alation Data Catalog our customers currently use has evolved from when the year began. These updates and upgrades include: Homepage customization to fit any brand identity and mission — to fully blend into an organization’s data community.

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How IBM HR leverages IBM Watson® Knowledge Catalog to improve data quality and deliver superior talent insights

IBM Journey to AI blog

Companies rely heavily on data and analytics to find and retain talent, drive engagement, improve productivity and more across enterprise talent management. However, analytics are only as good as the quality of the data, which must be error-free, trustworthy and transparent. What is data quality? million each year.

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Data Catalog First, Master Data Management Second: Here’s Why

Alation

Master Data Management (MDM) and data catalog growth are accelerating because organizations must integrate more systems, comply with privacy regulations, and address data quality concerns. What Is Master Data Management (MDM)? Data Catalog and Master Data Management. Identify Resources.