IBM Journey to AI blog

MAY 9, 2024

The healthcare industry faces arguably the highest stakes when it comes to data governance. For starters, healthcare organizations constantly encounter vast (and ever-increasing) amounts of highly regulated personal data. healthcare, managing the accuracy, quality and integrity of data is the focus of data governance.

Data Governance 85

Data Governance Data Silos Data Quality Predictive Analytics 85

Dataversity

JANUARY 8, 2024

However, the sheer volume and complexity of data generated by an ever-growing network of connected devices presents unprecedented challenges. This article, which is infused with insights from leading experts, aims to demystify […] The post IoT Data Governance: Taming the Deluge in Connected Environments appeared first on DATAVERSITY.

Data Governance 119

Data Governance Internet of Things Data Quality 119

Dataversity

SEPTEMBER 4, 2024

National security aside, the […] The post The Data Governance Wake-Up Call From the OpenAI Breach appeared first on DATAVERSITY. The breach, which involved an outsider gaining access to internal messaging systems, left many worried that a national adversary could do the same and potentially weaponize generative AI technologies.

Data Governance 122

Data Governance AI AI Data Quality 122

Dataversity

JULY 1, 2024

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 Non-Invasive Data Governance (NIDG).

Data Governance 105

Data Governance Data Quality 105

Precisely

SEPTEMBER 19, 2024

Key Takeaways: Data integrity is essential for AI success and reliability – helping you prevent harmful biases and inaccuracies in AI models. Robust data governance for AI ensures data privacy, compliance, and ethical AI use. Proactive data quality measures are critical, especially in AI applications.

Data Governance 78

Data Governance Data Quality AI AI 78

Dataversity

SEPTEMBER 11, 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 the interplay between Data Governance and artificial intelligence (AI). Read last month’s column here.)

Data Governance 119

Data Governance Artificial Intelligence Artificial Intelligence AI 119

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

Dataversity

MAY 17, 2024

In today’s data-driven world, organizations face increasing pressure to manage and govern their data assets effectively. Data governance plays a crucial role in ensuring that data is managed responsibly, securely, and in accordance with regulatory requirements.

Data Governance 105

Data Governance Data Quality 105

Alation

AUGUST 17, 2022

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.

Data Governance 92

Data Governance Data Quality DataOps 92

Dataversity

AUGUST 22, 2022

They have the data they need, but due to the presence of intolerable defects, they cannot use it as needed. These defects – also called Data Quality issues – must be fetched and fixed so that data can be used for successful business […].

Data Quality 98

Data Quality Data Governance 98

Dataversity

APRIL 18, 2022

Since the data from such processes is growing, data controls may not be strong enough to ensure the data is qualitative. That’s where Data Quality dimensions come into play. […]. The post Data Quality Dimensions Are Crucial for AI appeared first on DATAVERSITY.

Data Quality 98

Data Quality AI AI Data Governance 98

IBM Journey to AI blog

FEBRUARY 9, 2023

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture.

Data Governance 94

Data Governance Data Quality AI AI 94

Alation

FEBRUARY 3, 2022

DataOps practices help organizations overcome challenges caused by fragmented teams and processes and delays in delivering data in consumable forms. So how does data governance relate to DataOps? Data governance is a key data management process. Continuous Improvement Applied to Data Governance.

Data Governance 98

Data Governance DataOps Data Quality Machine Learning 98

Data Science Dojo

SEPTEMBER 6, 2023

Data Security: A Multi-layered Approach In data warehousing, data security is not a single barrier but a well-constructed series of layers, each contributing to protecting valuable information. Data ownership extends beyond mere possession—it involves accountability for data quality, accuracy, and appropriate use.

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Data Warehouse Data Governance ETL Data Quality 195

Dataversity

MAY 8, 2023

As I’ve been working to challenge the status quo on Data Governance – I get a lot of questions about how it will “really” work. In 2019, I wrote the book “Disrupting Data Governance” because I firmly believe […] The post Dear Laura: How Will AI Impact Data Governance? appeared first on DATAVERSITY.

Data Governance 95

Data Governance AI AI Data Quality 95

Dataversity

OCTOBER 25, 2023

In fact, it’s been more than three decades of innovation in this market, resulting in the development of thousands of data tools and a global data preparation tools market size that’s set […] The post Why Is Data Quality Still So Hard to Achieve? appeared first on DATAVERSITY.

Data Quality 104

Data Quality Data Preparation Algorithm Data Silos 104

IBM Journey to AI blog

SEPTEMBER 5, 2024

Everything is data—digital messages, emails, customer information, contracts, presentations, sensor data—virtually anything humans interact with can be converted into data, analyzed for insights or transformed into a product. Managing this level of oversight requires adept handling of large volumes of data.

Data Governance 75

Data Governance Data Quality DataOps Artificial Intelligence 75

The Data Administration Newsletter

SEPTEMBER 19, 2023

Information technology (IT) plays a vital role in data governance by implementing and maintaining strategies to manage, protect, and responsibly utilize data. Through advanced technologies and tools, IT ensures that data is securely stored, backed up, and accessible to authorized personnel.

Data Governance 81

Data Governance Data Classification Data Quality 81

Dataversity

DECEMBER 11, 2023

As a result, data owners are highly motivated to explore technologies in 2024 that can protect data from the moment it begins its journey in the source systems. From […] The post Trends in Data Governance and Security: What to Prepare for in 2024 appeared first on DATAVERSITY.

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Data Governance Data Warehouse Cloud Data Analytics 111

Dataversity

JUNE 14, 2022

The post Data Governance at the Edge of the Cloud appeared first on DATAVERSITY. With that, I’ve long believed that for most large cloud platform providers offering managed services, such as document editing and storage, email services and calendar […].

Data Governance 98

Data Governance Data Quality Cloud Data Artificial Intelligence 98

IBM Data Science in Practice

APRIL 26, 2024

In this blog, we explore how the introduction of SQL Asset Type enhances the metadata enrichment process within the IBM Knowledge Catalog , enhancing data governance and consumption. Data Stewardship : Data stewards can utilize dynamic views for metadata enrichment, profiling, and data governance activities.

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SQL Data Quality Data Governance Data Scientist 130

Dataversity

FEBRUARY 13, 2023

The key to being truly data-driven is having access to accurate, complete, and reliable data. In fact, Gartner recently found that organizations believe […] The post How to Assess Data Quality Readiness for Modern Data Pipelines appeared first on DATAVERSITY.

Data Pipeline 98

Data Pipeline Data Quality Data Silos Data Governance 98

Dataversity

DECEMBER 3, 2021

Three big shifts came this year, namely in the realms of consumer data privacy, the use of third-party cookies vs. first-party data, and the regulations and expectations […]. The post What to Expect in 2022: Data Privacy, Data Quality, and More appeared first on DATAVERSITY.

Data Quality 98

Data Quality Data Governance 98

Dataversity

JULY 7, 2023

But the widespread harnessing of these tools will also soon create an epic flood of content based on unstructured data – representing an unprecedented […] The post Navigating the Risks of LLM AI Tools for Data Governance appeared first on DATAVERSITY.

Data Governance 98

Data Governance AI AI Data Quality 98

IBM Journey to AI blog

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. Data quality Data quality is essentially the measure of data integrity.

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Data Quality Data Profiling Data Governance Machine Learning 74

Dataversity

MARCH 14, 2022

The post When It Comes to Data Quality, Businesses Get Out What They Put In appeared first on DATAVERSITY. The stakes are high, so you search the web and find the most revered chicken parmesan recipe around. At the grocery store, it is immediately clear that some ingredients are much more […].

Data Quality 98

Data Quality Data Governance Big Data Big Data 98

Precisely

FEBRUARY 12, 2024

Read our eBook Data Governance 101 Read this eBook to learn about the challenges associated with data governance and how to operationalize solutions. Read Common Data Challenges in Telecommunications As natural innovators, telecommunications firms have been early adopters of advanced analytics.

Data Governance 64

Data Governance Analytics Analytics Machine Learning 64

Precisely

AUGUST 29, 2024

Key Takeaways Data quality ensures your data is accurate, complete, reliable, and up to date – powering AI conclusions that reduce costs and increase revenue and compliance. Data observability continuously monitors data pipelines and alerts you to errors and anomalies. stored: where is it located?

Data Governance 52

Data Governance Data Observability Data Quality AI 52

AWS Machine Learning Blog

AUGUST 21, 2024

The banking dataset contains information about bank clients such as age, job, marital status, education, credit default status, and details about the marketing campaign contacts like communication type, duration, number of contacts, and outcome of the previous campaign. A new data flow is created on the Data Wrangler console.

Machine Learning 128

Machine Learning Machine Learning Data Governance ML 128

IBM Journey to AI blog

AUGUST 2, 2023

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 What is data quality? Data quality is critical for data governance.

Data Quality 73

Data Quality Data Governance Analytics Analytics 73

Dataversity

NOVEMBER 27, 2023

Companies have implemented a variety of corporate governance mechanisms to ensure effective decision-making and risk management. These include board […] The post The Emergence of Corporate Data Governance appeared first on DATAVERSITY.

Data Governance 72

Data Governance Data Quality 72

ODSC - Open Data Science

NOVEMBER 29, 2024

As organizations amass vast amounts of information, the need for effective management and security measures becomes paramount. Artificial Intelligence (AI) stands at the forefront of transforming data governance strategies, offering innovative solutions that enhance data integrity and security.

Data Governance 40

Data Governance AI AI Predictive Analytics 40

Pickl AI

JULY 24, 2024

Summary: Data quality is a fundamental aspect of Machine Learning. Poor-quality data leads to biased and unreliable models, while high-quality data enables accurate predictions and insights. What is Data Quality in Machine Learning? Bias in data can result in unfair and discriminatory outcomes.

Data Quality 52

Data Quality Machine Learning Machine Learning Clean Data 52

Dataversity

JUNE 21, 2024

Data governance is crucial for businesses aiming to maximize the value of their data, yet several common issues can significantly hinder its effectiveness. Let’s dive straight into these challenges and outline actionable strategies for overcoming them.

Data Governance 59

Data Governance Data Quality 59

Dataversity

SEPTEMBER 18, 2023

The current wave of AI is creating new ways of working, and research suggests that business leaders feel optimistic about the potential for measurable productivity and customer service improvements, as well as transformations in the way that […] The post Data Governance in the Age of Generative AI appeared first on DATAVERSITY.

Data Governance 72

Data Governance AI AI Data Quality 72

Dataversity

APRIL 1, 2024

This reliance has spurred a significant shift across industries, driven by advancements in artificial intelligence (AI) and machine learning (ML), which thrive on comprehensive, high-quality data.

Data Quality 69

Data Quality Artificial Intelligence Artificial Intelligence Machine Learning 69

DagsHub

AUGUST 23, 2024

As such, the quality of their data can make or break the success of the company. This article will guide you through the concept of a data quality framework, its essential components, and how to implement it effectively within your organization. What is a data quality framework?

Data Quality 52

Data Quality Data Governance Machine Learning Machine Learning 52