Remove 2020 Remove Data Pipeline Remove Data Quality
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McKinsey QuantumBlack on automating data quality remediation with AI

Snorkel AI

Jacomo Corbo is a Partner and Chief Scientist, and Bryan Richardson is an Associate Partner and Senior Data Scientist, for QuantumBlack AI by McKinsey. They presented “Automating Data Quality Remediation With AI” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022.

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McKinsey QuantumBlack on automating data quality remediation with AI

Snorkel AI

Jacomo Corbo is a Partner and Chief Scientist, and Bryan Richardson is an Associate Partner and Senior Data Scientist, for QuantumBlack AI by McKinsey. They presented “Automating Data Quality Remediation With AI” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022.

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McKinsey QuantumBlack on automating data quality remediation with AI

Snorkel AI

Jacomo Corbo is a Partner and Chief Scientist, and Bryan Richardson is an Associate Partner and Senior Data Scientist, for QuantumBlack AI by McKinsey. They presented “Automating Data Quality Remediation With AI” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022.

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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. Tools like Git and Jenkins are not suited for managing data. This is where a feature platform comes in handy.

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Architect a mature generative AI foundation on AWS

Flipboard

Data quality is ownership of the consuming applications or data producers. Governance The two key areas of governance are model and data: Model governance Monitor model for performance, robustness, and fairness. He was the legal licensee in his ancient (AD 1468) English countryside village pub until early 2020.

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3 Takeaways from Gartner’s 2018 Data and Analytics Summit

DataRobot Blog

This shift is driving a hybrid data integration mentality, where business teams are given curated data sandboxes so they can participate in building future use cases such as mobile applications, B2B solutions, or IoT analytics. To achieve organization-wide data literacy, a new information management platform must emerge.