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Tag: data quality

Data Quality Top Obstacle to GenAI, Informatica Survey Says

A new survey of data leaders by Informatica points to data quality as the number one obstacle to implementing generative AI. The number of data management tools that companies are using, as well as the fact that a large Read more…

Top 10 Challenges to GenAI Success

So you want to implement generative AI? That’s great news! You can count yourself among the majority of IT decision makers who have also seen the potential of this transformative tech. While GenAI has the potential to Read more…

Fourteen Big Data Predictions for 2024

Never before have the challenges of big data--how we store it, manage it, govern it, and use it--been so pressing. Advances in artificial intelligence may be the driving force in 2024, but that doesn’t mean a thing if Read more…

Generative AI Needs Vigilant Data Cataloging and Governance

Our industry’s breathless hype about generative AI tends to overlook the stubborn challenge of data governance. In reality, many GenAI initiatives will fail unless companies properly govern the text files that feed the Read more…

Is Your Data Management Strategy Ready for AI? 5 Ways to Tell

Next-generation AI technology is to enterprises what smartphones are to teenagers: Something almost everyone wants, but not everyone is ready to use properly. To the typical teenager (or tweenager), smartphones are a Read more…

How Amplitude Uses GenAI to Improve Data Quality

Data quality is a critical must-have for big data analytics and AI. If you have it, you can do amazing things with your data. But if you don’t, you’re kind of dead in the water. Behavioral analytics platform provider Read more…

Data Catalogs: Extreme Makeover Edition

Here’s the cold, hard truth: data catalogs don’t get most people excited. In fact, it’s kind of like going to the dentist; almost nobody likes doing it, but the alternative is worse. In other words, while most peop Read more…

Lightup Seeks Data Quality Automation

One of the challenges in data observability is the effort required to develop all the data quality indicators (DQIs) enterprises need to monitor production databases. All too often, companies are left to write their own Read more…

Three Critical Factors to Consider When Preparing Data for Generative AI

Thanks in part to the excitement around breakthrough generative artificial intelligence (AI) tools like ChatGPT, industry analysts are projecting rapid growth of business investment in AI and machine learning (ML) techno Read more…

Databricks Puts Unified Data Format on the Table with Delta Lake 3.0

Databricks today rolled out a new open table format in Delta Lake 3.0 that it says will eliminate the possibility of picking the wrong one. Dubbed Universal Format, or UniForm, the new table format can read and write dat Read more…

Six Common Signs It’s Time to Invest in Data Reliability

Every enterprise relies heavily on data to make decisions.  This makes data reliability crucial. Without it, you may not find the path to streamlined customer experience and revenue generation. However, data reliability Read more…

Bigeye Sounds the Alarm on Data Quality

In the past six months, 20% of companies have faced two or more severe data incidents that directly impacted the business’s bottom line, according to a new report on data quality issued today by Bigeye, a provider of d Read more…

Numbers Station Sees Big Potential In Using Foundation Models for Data Wrangling

A startup called Numbers Station is applying the generative power of pre-trained foundation models such as GPT-4 to help with data wrangling. The company, which is based on research conducted at the Stanford AI Lab, has Read more…

Confluent’s New Cloud Capabilities Address Data Streaming Hurdles

Confluent has announced several new Confluent Cloud capabilities and features that address the data governance, security, and optimization needs of data streaming in the cloud. “Real-time data is the lifeblood of ev Read more…

Qlik Completes Acquisition of Talend

BI and analytics provider Qlik announced its intent to acquire Talend earlier this year, and now it has formally completed the deal, giving it an immediate boost in the data management department. Data sprawl, data qu Read more…

Galileo Charts Data Quality Course-Correction for AI Teams

For several months, the Silicon Valley startup Galileo has been selling an AI-powered product designed to help correct data quality issues for natural language processing (NLP) models and applications. Today the company Read more…

Data Quality Is Getting Worse, Monte Carlo Says

Despite the availability of better tools and technology, the quality of data is getting worse, according to a new report issued by data observability provider Monte Carlo. The instances of bad data taking an application Read more…

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