KDnuggets

JANUARY 12, 2023

Bad data costs organizations money, reputation, and time. Hence it is very important to monitor and validate data quality continuously.

Data Quality 358

Data Quality Data Engineering Data Engineering Data Engineer 358

Analytics Vidhya

NOVEMBER 8, 2023

In the data-driven world […] The post Monitoring Data Quality for Your Big Data Pipelines Made Easy appeared first on Analytics Vidhya. Determine success by the precision of your charts, the equipment’s dependability, and your crew’s expertise. A single mistake, glitch, or slip-up could endanger the trip.

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Data Pipeline Data Quality Big Data Big Data 341

Analytics Vidhya

SEPTEMBER 23, 2024

Introduction Ensuring data quality is paramount for businesses relying on data-driven decision-making. As data volumes grow and sources diversify, manual quality checks become increasingly impractical and error-prone.

Data Quality 271

Data Quality Analytics Analytics AWS 271

insideBIGDATA

JULY 24, 2024

In this contributed article, Subbiah Muthiah, CTO of Emerging Technologies at Qualitest, takes a deep dive into how raw data can throw specialized AI into disarray. While raw data has its uses, properly processed data is vital to the success of niche AI.

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Data Quality AI AI Big Data 468

insideBIGDATA

JUNE 6, 2023

In this contributed article, Peter Nagel, VP of Engineering at Noyo, addresses the benefits/insurance industry’s roadblocks and opportunities — and why some of the most interesting data innovations will soon be happening in benefits.

Data Quality 414

Data Quality Big Data Big Data 414

KDnuggets

OCTOBER 6, 2022

Join Lior Gavish, co-author and Monte Carlo co-founder, Oct 12 @ 1 PM ET, as he explores the latest in data quality techniques with a panel of some of the foremost experts.

Data Quality 268

Data Quality 268

KDnuggets

NOVEMBER 22, 2022

Ensuring data quality guarantees more data-informed decisions. Hence, this article highlights the common data quality issues and ways to overcome them.

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Data Quality Data Science 271

KDnuggets

MARCH 23, 2023

This article highlights the significance of ensuring high-quality data and presents six key dimensions for measuring it. These dimensions include Completeness, Consistency, Integrity, Timelessness, Uniqueness, and Validity.

Data Quality 306

Data Quality Data Engineering Data Engineering Data Engineer 306

KDnuggets

NOVEMBER 22, 2023

This week on KDnuggets: Learn how to perform data quality checks using pandas, from detecting missing records to outliers, inconsistent data entry and more • The top vector databases are known for their versatility, performance, scalability, consistency, and efficient algorithms in storing, indexing, and querying vector embeddings for AI applications (..)

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Data Quality Database Algorithm AI 344

KDnuggets

MARCH 10, 2022

Good quality data becomes imperative and a basic building block of an ML pipeline. The ML model can only be as good as its training data.

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Data Quality Machine Learning Machine Learning ML 396

insideBIGDATA

JUNE 15, 2023

Jason Smith, Chief Technology Officer, AI & Analytics at Within3, highlights how many life science data sets contain unclean, unstructured, or highly-regulated data that reduces the effectiveness of AI models. Life science companies must first clean and harmonize their data for effective AI adoption.

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Data Quality AI AI Analytics 416

KDnuggets

AUGUST 18, 2022

Just as Maslow identified a hierarchy of needs for people, data teams have a hierarchy of needs, beginning with data freshness; including volumes, schemas, and values; and culminating with lineage.

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Data Quality Data Science 291

Dataconomy

APRIL 12, 2022

Did you know that common data quality difficulties affect 91% of businesses? Incorrect data, out-of-date contacts, incomplete records, and duplicates are the most prevalent.

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Data Quality Big Data Big Data Analytics 202

databricks

AUGUST 1, 2024

At Data and AI Summit, we announced the general availability of Databricks Lakehouse Monitoring. Our unified approach to monitoring data and AI.

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Data Quality AI AI 313

insideBIGDATA

MAY 1, 2024

In this contributed article, Stephany Lapierre, Founder and CEO of Tealbook, discusses how AI can help streamline procurement processes, reduce costs and improve supplier management, while also addressing common concerns and challenges related to AI implementation like data privacy, ethical considerations and the need for human oversight.

Data Quality 259

Data Quality AI AI Big Data 259

Flipboard

NOVEMBER 16, 2023

Learn how to perform data quality checks using pandas. From detecting missing records to outliers, inconsistent data entry and more.

Data Quality 160

Data Quality Data Science 160

insideBIGDATA

MAY 28, 2023

iMerit, a leading artificial intelligence (AI) data solutions company, released its 2023 State of ML Ops report, which includes a study outlining the impact of data on wide-scale commercial-ready AI projects.

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Data Quality ML ML Artificial Intelligence 221

Towards AI

OCTOBER 31, 2024

Data analytics has become a key driver of commercial success in recent years. The ability to turn large data sets into actionable insights can mean the difference between a successful campaign and missed opportunities. Flipping the paradigm: Using AI to enhance data quality What if we could change the way we think about data quality?

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Data Quality Analytics Analytics Clean Data 122

Flipboard

NOVEMBER 14, 2023

Modern data quality practices leverage advanced technologies, automation, and machine learning to handle diverse data sources, ensure real-time processing, and foster collaboration across stakeholders.

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Data Quality Data Governance Machine Learning Machine Learning 144

The Data Administration Newsletter

NOVEMBER 20, 2024

Data quality issues continue to plague financial services organizations, resulting in costly fines, operational inefficiencies, and damage to reputations. Key Examples of Data Quality Failures — […]

Data Quality 120

Data Quality Data Silos Data Governance 120

databricks

MAY 30, 2023

Faced with clinician shortages, an aging population, and stagnant health outcomes, the healthcare industry has the potential to greatly benefit from disruptive technologies.

Data Quality 264

Data Quality 264

Data Science Blog

OCTOBER 1, 2024

Just like a skyscraper’s stability depends on a solid foundation, the accuracy and reliability of your insights rely on top-notch data quality. Enter Generative AI – a game-changing technology revolutionizing data management and utilization. Businesses must ensure their data is clean, structured, and reliable.

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Data Quality AI AI Analytics 130

Cassie Kozyrkov

FEBRUARY 25, 2023

The industry-wide neglect of data design and data quality (and what you can do about it) Continue reading on Towards Data Science »

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Data Quality Data Science Artificial Intelligence Artificial Intelligence 340

KDnuggets

AUGUST 2, 2022

Sadly, it’s often due to a lack of focus on data quality. Many machine learning models fail to deliver.

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Data Quality Machine Learning Machine Learning AI 372

Dataversity

APRIL 22, 2024

So why are many technology leaders attempting to adopt GenAI technologies before ensuring their data quality can be trusted? Reliable and consistent data is the bedrock of a successful AI strategy.

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Data Quality AI AI Data Governance 114

Precisely

JULY 12, 2024

When companies work with data that is untrustworthy for any reason, it can result in incorrect insights, skewed analysis, and reckless recommendations to become data integrity vs data quality. Two terms can be used to describe the condition of data: data integrity and data quality.

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Data Quality Data Governance Database Analytics 105

insideBIGDATA

OCTOBER 12, 2024

The solution ensures that AI models are developed using secure, compliant, and well-documented data.

AI 365

AI AI Data Quality Data Governance 365

Analytics Vidhya

MAY 30, 2023

Introduction In the realm of machine learning, the veracity of data holds utmost significance in the triumph of models. Inadequate data quality can give rise to erroneous predictions, unreliable insights, and overall performance.

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Machine Learning Machine Learning Data Quality Analytics 325

Dataversity

NOVEMBER 6, 2023

This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. This month we’re talking about Data Quality (DQ). Read last month’s column here.)

Data Quality 119

Data Quality Data Governance 119

Dataconomy

APRIL 8, 2022

Organizations can effectively manage the quality of their information by doing data profiling. Businesses must first profile data metrics to extract valuable and practical insights from data. Data profiling is becoming increasingly essential as more firms generate huge quantities of data every day.

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Data Profiling Data Quality Big Data Big Data 190

insideBIGDATA

AUGUST 12, 2023

In this contributed article, Kim Stagg, VP of Product for Appen, knows the only way to achieve functional AI models is to use high-quality data in every stage of deployment.

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Data Quality AI AI Big Data 368

Analytics Vidhya

MARCH 13, 2024

Introduction Whether you’re a fresher or an experienced professional in the Data industry, did you know that ML models can experience up to a 20% performance drop in their first year? Monitoring these models is crucial, yet it poses challenges such as data changes, concept alterations, and data quality issues.

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ML ML Data Quality Analytics 319

MoorInsights for Forbes

MARCH 21, 2024

Analyst Robert Kramer continues his series on enterprise data technology with a detailed discussion of why data quality is so important, and how companies can achieve it.

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Data Quality 98

Analytics Vidhya

SEPTEMBER 2, 2021

This article was published as a part of the Data Science Blogathon Overview Running data projects takes a lot of time. Poor data results in poor judgments. Running unit tests in data science and data engineering projects assures data quality. You know your code does what you want it to do.

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Python Data Science Data Quality Data Engineering 342

Analytics Vidhya

JANUARY 2, 2024

This innovative technique aims to generate diverse and high-quality instruction data, addressing challenges associated with duplicate data and limited control over data quality in existing methods.

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Data Quality Analytics Analytics AI 305

KDnuggets

NOVEMBER 22, 2022

Leverage precise data to discover business opportunities, make strategic decisions, and increase ROI with a powerful data quality platform.

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Data Quality Data Science 271

Flipboard

JUNE 15, 2023

Data Engineers: We look into Data Engineering, which combines three core practices around Data Management, Software Engineering, and I&O. This focuses …

Data Quality 149

Data Quality Data Engineering Data Engineering Data Engineer 149