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

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 (..)

Data Quality 303

Data Quality Database Algorithm AI 303

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.

Data Quality 321

Data Quality AI AI 321

insideBIGDATA

OCTOBER 12, 2024

the data intelligence company, launched its AI Governance solution to help organizations realize value from their data and AI initiatives. The solution ensures that AI models are developed using secure, compliant, and well-documented data. Alation Inc.,

Data Quality 365

Data Quality AI AI Data Governance 365

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.

Data Quality 221

Data Quality ML ML Artificial Intelligence 221

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.

Data Quality 368

Data Quality AI AI Big Data 368

Precisely

NOVEMBER 5, 2024

Key Takeaways: Data quality is the top challenge impacting data integrity – cited as such by 64% of organizations. Data trust is impacted by data quality issues, with 67% of organizations saying they don’t completely trust their data used for decision-making. The results are in!

Data Quality 59

Data Quality Analytics Analytics Data Governance 59

KDnuggets

AUGUST 2, 2022

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

Data Quality 358

Data Quality Machine Learning Machine Learning AI 358

Precisely

APRIL 7, 2025

Read Challenges in Ensuring Data Quality Through Appending and Enrichment The benefits of enriching and appending additional context and information to your existing data are clear but adding that data makes achieving and maintaining data quality a bigger task.

Data Quality 75

Data Quality Database AI AI 75

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.

Data Quality 130

Data Quality AI AI Analytics 130

Dataconomy

APRIL 4, 2025

Data-centric AI is revolutionizing how organizations approach artificial intelligence by shifting the focus from algorithm optimization to the quality of the data supporting these algorithms. This approach recognizes that even the most sophisticated models are only as good as the data they are trained on.

AI 103

AI AI Data Quality Algorithm 103

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.

Data Quality 114

Data Quality AI AI Data Governance 114

Dataconomy

NOVEMBER 12, 2024

OpenAI Orion, the company’s next-generation AI model, is hitting performance walls that expose limitations in traditional scaling approaches. While this might sound impressive, it’s important to note that early stages of AI training typically yield the most dramatic improvements.

Data Quality 194

Data Quality AI AI Artificial Intelligence 194

Precisely

JANUARY 9, 2025

Artificial Intelligence (AI) is all the rage, and rightly so. By now most of us have experienced how Gen AI and the LLMs (large language models) that fuel it are primed to transform the way we create, research, collaborate, engage, and much more. Can AIs responses be trusted? A data lake! Can it do it without bias?

Data Warehouse 119

Data Warehouse Hadoop Data Governance Data Lakes 119

Data Science Dojo

JANUARY 25, 2024

With the advent of generative AI, the complexity of data makes vector embeddings a crucial aspect of modern-day processing and handling of information. Source: robkerr.ai Key roles of vector embeddings in generative AI Generative AI relies on vector embeddings to understand the structure and semantics of input data.

AI 412

AI AI Algorithm Natural Language Processing 412

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.

Data Quality 305

Data Quality Analytics Analytics AI 305

Data Science Dojo

SEPTEMBER 15, 2023

AI hallucinations: When language models dream in algorithms. What Are AI Hallucinations ? AI hallucinations occur when a large language model (LLM) generates inaccurate information. An alternative term for AI hallucinations is “confabulation.” Cats need to be fed at least once a day.”

AI 359

AI AI Data Quality Algorithm 359

The Data Administration Newsletter

FEBRUARY 5, 2025

Unsurprisingly, my last two columns discussed artificial intelligence (AI), specifically the impact of language models (LMs) on data curation. addressed some of the […]

Data Quality 52

Data Quality Artificial Intelligence Artificial Intelligence AI 52

Dataconomy

MARCH 29, 2025

However, an expert in the field says that scaling AI solutions to handle the massive volume of data and real-time demands of large platforms presents a complex set of architectural, data management, and ethical challenges.

Data Warehouse 103

Data Warehouse Data Preparation AI AI 103

The Data Administration Newsletter

DECEMBER 4, 2024

We have lots of data conferences here. Over the years, I’ve seen a trend — more and more emphasis on AI. I’ve taken to asking a question at these conferences: What does data quality mean for unstructured data? Frequently. Almost always right here in NYC. This is my version of […]

Data Quality 52

Data Quality AI AI Artificial Intelligence 52

Precisely

NOVEMBER 18, 2024

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. AI drives the demand for data integrity.

Analytics 72

Analytics Analytics Data Governance AI 72

insideBIGDATA

APRIL 3, 2024

In this contributed article, Jonathan Taylor, CTO of Zoovu, highlights how many B2B executives believe ecommerce is broken in their organizations due to data quality issues.

Big Data 243

Big Data Big Data Data Quality AI 243

Flipboard

DECEMBER 27, 2023

Presented by SQream The challenges of AI compound as it hurtles forward: demands of data preparation, large data sets and data quality, the time sink of long-running queries, batch processes and more. In this VB Spotlight, William Benton, principal product architect at NVIDIA, and others explain how …

Data Preparation 181

Data Preparation Analytics Analytics Data Quality 181

Data Science Dojo

OCTOBER 10, 2023

AI conferences and events are organized to talk about the latest updates taking place, globally. The global market for artificial intelligence (AI) was worth USD 454.12 The global market for artificial intelligence (AI) was worth USD 454.12 Why must you attend AI conferences and events? billion by 2032. billion by 2032.

AI 243

AI AI Data Observability Artificial Intelligence 243

Precisely

JANUARY 30, 2025

Recognize that artificial intelligence is a data governance accelerator and a process that must be governed to monitor ethical considerations and risk. Integrate data governance and data quality practices to create a seamless user experience and build trust in your data.

Data Governance 103

Data Governance Data Quality Artificial Intelligence Artificial Intelligence 103

Analytics Vidhya

DECEMBER 28, 2022

Choosing the best appropriate activation function can help one get better results with even reduced data quality; hence, […]. Introduction In deep learning, the activation functions are one of the essential parameters in training and building a deep learning model that makes accurate predictions.

Deep Learning 277

Deep Learning Deep Learning Data Quality Data Science 277

Smart Data Collective

AUGUST 11, 2022

Artificial Intelligence (AI) has significantly altered how work is done. However, AI even has a bigger impact by enhancing human capabilities. Human labeling and data labeling are however important aspects of the AI function as they help to identify and convert raw data into a more meaningful form for AI and machine learning to learn.

Data Quality 139

Data Quality Artificial Intelligence Artificial Intelligence Machine Learning 139

Flipboard

NOVEMBER 13, 2024

In the quest to uncover the fundamental particles and forces of nature, one of the critical challenges facing high-energy experiments at the Large Hadron Collider (LHC) is ensuring the quality of the vast amounts of data collected. The new system was deployed in the barrel of the ECAL in 2022 and in the endcaps in 2023.

Algorithm 161

Algorithm Data Quality Machine Learning Machine Learning 161

Precisely

NOVEMBER 18, 2024

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. AI drives the demand for data integrity.

Analytics 59

Analytics Analytics Data Governance AI 59

Dataconomy

FEBRUARY 19, 2021

AI has become an indispensable resource for many businesses in 2020 amid the challenges of COVID-19. Despite economic stress, 61% of high-performing companies invested more in AI in 2020. As recovery from pandemic losses gets underway, more may turn to AI to strengthen their digital transformation.

AI 248

AI AI Data Quality Artificial Intelligence 248

Dataversity

APRIL 4, 2025

These takeaways include my overall professional impressions and a high-level review of the most prominenttopics discussed in the conferences core subject areas: data governance, data quality, and AI governance.

Data Governance 52

Data Governance Data Quality AI AI 52

AWS Machine Learning Blog

NOVEMBER 7, 2024

While organizations continue to discover the powerful applications of generative AI , adoption is often slowed down by team silos and bespoke workflows. To move faster, enterprises need robust operating models and a holistic approach that simplifies the generative AI lifecycle. Generative AI gateway Shared components lie in this part.

AWS 102

AWS AI AI Machine Learning 102

Dataversity

OCTOBER 14, 2024

I was asking them about the ways in which generative AI might impact their business and they shared that clients might not want to pay $50,000 for a slide deck anymore if they disclosed that generative AI […] The post Ask a Data Ethicist: Does Using Generative AI Devalue Professional Work?

AI 110

AI AI Data Governance Data Quality 110

AWS Machine Learning Blog

NOVEMBER 15, 2024

The rapid advancement of generative AI promises transformative innovation, yet it also presents significant challenges. Concerns about legal implications, accuracy of AI-generated outputs, data privacy, and broader societal impacts have underscored the importance of responsible AI development.

AWS 101

AWS AI AI ML 101

Precisely

FEBRUARY 20, 2025

Key Takeaways Trusted data is critical for AI success. Data integration ensures your AI initiatives are fueled by complete, relevant, and real-time enterprise data, minimizing errors and unreliable outcomes that could harm your business. Data integration solves key business challenges.

Data Silos 69

Data Silos AI AI Data Quality 69

Dataconomy

MARCH 17, 2025

Smart data preparation Automated data cleaning is a crucial part of augmented analytics. It involves processes that improve data quality, such as removing duplicates and addressing inconsistencies. Data quality issues Poor data quality can severely impact the effectiveness of analytics.

Augmented Analytics 91

Augmented Analytics Analytics Analytics Natural Language Processing 91

Precisely

JANUARY 27, 2025

In 2025, its more important than ever to make data-driven decisions, cut costs, and improve efficiency especially in the face of major challenges due to higher manufacturing costs, disruptive new technologies like artificial intelligence (AI), and tougher global competition. Key Data Integrity Trends and Insights for 2025 1.

Data Quality 59

Data Quality Data Governance Analytics Analytics 59