Remove Data Governance Remove Data Models Remove Data Profiling Remove Data Quality
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Data architecture strategy for data quality

IBM Journey to AI blog

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.

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Top 10 Reasons for Alation with Snowflake: Reduce Risk with Active Data Governance

Alation

In the previous blog , we discussed how Alation provides a platform for data scientists and analysts to complete projects and analysis at speed. In this blog we will discuss how Alation helps minimize risk with active data governance. So why are organizations not able to scale governance? Meet Governance Requirements.

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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)? Early on, analysts used data catalogs to find and understand data more quickly.

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Capital One’s data-centric solutions to banking business challenges

Snorkel AI

Kishore will then double click into some of the opportunities we find here at Capital One, and Bayan will finish us off with a lean into one of our open-source solutions that really is an important contribution to our data-centric AI community. Our data teams focus on three important processes. Data governance and monitoring.

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Capital One’s data-centric solutions to banking business challenges

Snorkel AI

Kishore will then double click into some of the opportunities we find here at Capital One, and Bayan will finish us off with a lean into one of our open-source solutions that really is an important contribution to our data-centric AI community. Our data teams focus on three important processes. Data governance and monitoring.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

Model versioning, lineage, and packaging : Can you version and reproduce models and experiments? Can you see the complete model lineage with data/models/experiments used downstream? It sits between the data lake and cloud object storage, allowing you to version and control changes to data lakes at scale.

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HCLS Companies: 10 Data Analytics Challenges to Overcome with Sigma Computing & Snowflake

phData

See how phData created a solution for ingesting and interpreting HL7 data 4. Data Quality Inaccurate data can have negative impacts on patient interactions or loss of productivity for the business. Sigma and Snowflake offer data profiling to identify inconsistencies, errors, and duplicates.