DataRobot Blog

OCTOBER 9, 2017

2) Data Profiling : To profile data in Excel, users typically create filters and pivot tables – but problems arise when a column contains thousands of distinct values or when there are duplicates resulting from different spellings. 3) Data Governance and Trust: With Excel, there is no actual audit trail or data lineage.

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Data Preparation Data Profiling Data Governance Machine Learning 52

Alation

AUGUST 26, 2021

It asks much larger questions, which flesh out an organization’s relationship with data: Why do we have data? Why keep data at all? Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more.

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Pickl AI

OCTOBER 10, 2023

Quality Data quality is about the reliability and accuracy of your data. High-quality data is free from errors, inconsistencies, and anomalies. To assess data quality, you may need to perform data profiling, validation, and cleansing to identify and address issues like missing values, duplicates, or outliers.

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Pickl AI

JULY 19, 2023

By maintaining clean and reliable data, businesses can avoid costly mistakes, enhance operational efficiency, and gain a competitive edge in their respective industries. Best Data Hygiene Tools & Software Trifacta Wrangler Pros: User-friendly interface with drag-and-drop functionality. Provides real-time data monitoring and alerts.

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Data Quality Data Profiling Data Governance Data Preparation 40

Precisely

SEPTEMBER 11, 2023

Artificial intelligence (AI) has many applications, ranging from software products to appliances to cars and everything in between. AI has already made significant advancements in software – with even more exciting and promising developments ahead. So, What Does This All Mean for Precisely?

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The MLOps Blog

JUNE 27, 2023

With Azure Machine Learning, data scientists can leverage pre-built models, automate machine learning tasks, and seamlessly integrate with other Azure services, making it an efficient and scalable solution for machine learning projects in the cloud. Might be useful Unlike manual, homegrown, or open-source solutions, neptune.ai

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Pickl AI

OCTOBER 19, 2023

In the scientific realm, accurate data fuels breakthrough discoveries. Ethical Considerations Data quality is closely tied to ethical considerations, especially in fields like healthcare and AI. Biased or incomplete data can perpetuate inequalities and lead to discriminatory outcomes.

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Data Quality Data Governance Data Warehouse Machine Learning 52

Pickl AI

OCTOBER 11, 2023

While they provide various data-related tools, they may also offer features related to Data Observability within their platform. Informatica might enable organizations to monitor data flows and ensure data quality as part of their data management processes. It aims to address issues promptly as they arise.

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Data Observability Data Quality Data Pipeline Data Governance 52

DagsHub

AUGUST 23, 2024

We already know that a data quality framework is basically a set of processes for validating, cleaning, transforming, and monitoring data. Data Governance Data governance is the foundation of any data quality framework. If any of these is missing, the client data is considered incomplete.

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IBM Journey to AI blog

JANUARY 5, 2023

Efficiently adopt data platforms and new technologies for effective data management. Apply metadata to contextualize existing and new data to make it searchable and discoverable. Perform data profiling (the process of examining, analyzing and creating summaries of datasets).

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Pickl AI

JULY 24, 2024

Key Components of Data Quality Assessment Ensuring data quality is a critical step in building robust and reliable Machine Learning models. It involves a comprehensive evaluation of data to identify potential issues and take corrective actions. Conduct thorough data quality assessments to identify and prioritise issues.

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Pickl AI

AUGUST 30, 2024

Data Quality Assessment Evaluate the quality of existing data and address any issues before migration. This may involve data profiling and cleansing activities to improve data accuracy. Testing should include validating data integrity and performance in the new environment.

Data Quality 52

Data Quality Data Governance Azure Database 52

Snorkel AI

MAY 12, 2023

Three experts from Capital One ’s data science team spoke as a panel at our Future of Data-Centric AI conference in 2022. Please welcome to the stage, Senior Director of Applied ML and Research, Bayan Bruss; Director of Data Science, Erin Babinski; and Head of Data and Machine Learning, Kishore Mosaliganti.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Snorkel AI

MAY 12, 2023

Three experts from Capital One ’s data science team spoke as a panel at our Future of Data-Centric AI conference in 2022. Please welcome to the stage, Senior Director of Applied ML and Research, Bayan Bruss; Director of Data Science, Erin Babinski; and Head of Data and Machine Learning, Kishore Mosaliganti.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Dataversity

APRIL 22, 2022

In today’s digital world, data is undoubtedly a valuable resource that has the power to transform businesses and industries. As the saying goes, “data is the new oil.” However, in order for data to be truly useful, it needs to be managed effectively.

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