Tag: data quality
GenAI a Top Driver of Data Modernization in the Cloud, Hakkoda Says
One of the top reasons that companies are modernizing their data estates and moving to a centralized cloud data platform is to enable generative AI capabilities, Hakkoda says in its new study, titled “Generative AI Sta Read more…
Unlocking the Full Potential of Data: The Crucial Role of Data Governance in Integrated Analysis
Organizations today are built on data. However, in the quest to become data-driven, businesses must maintain their trust, which becomes challenging with the huge volumes of data generated and collected every day. The qua Read more…
Data Is the Foundation for GenAI, MIT Tech Review Says
Pretrained large language models (LLMs) like GPT-4 and Gemini are great, but real competitive advantage comes from combining LLMs with private data. Unfortunately, there are questions as to how well companies have prepar Read more…
Informatica CEO: Good Data Management Not Optional for AI
The big data era may have started a decade-and-a-half ago, but for many companies, it’s the current AI revolution that’s forcing them to finally get serious about data management, says Informatica CEO Amit Walia. “ Read more…
Data Quality Is A Mess, But GenAI Can Help
A recurring theme in big data over the past two decades is the poor quality of data. No matter how much ink is spilled on the topic, organizations continually seem surprised that the data they want to use for analytics o Read more…
The Top Five Data Labeling Firms According to Everest Group
The process of annotating and labeling data is critical for supervised learning tasks, such as training a large language model (LLM) and other types of machine learning models. However, the need for human cognition and i Read more…
Data Quality Getting Worse, Report Says
For as long as “big data” has been a thing, data quality has been a big question mark. Working with data to make it suitable for analysis was the task that data professionals spent the bulk of their time doing 15 yea Read more…
GenAI Doesn’t Need Bigger LLMs. It Needs Better Data
An exorbitant amount of time and energy is being spent developing and talking about the technology that goes into large language models. While the tech is indeed impressive, businesses that are building generative AI app Read more…
Data Observability in the Age of AI: A Guide for Data Engineers
Data observability refers to the ability to comprehensively monitor and understand the behavior of data within a system. It provides transparency into real-time aspects of the data pipeline beyond data monitoring. These Read more…
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
Sponsored Content by Alation
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…
Rocket Launches a ‘Choose Your Own Adventure’ for Data Lineage Tracking
Tracking down sources of data quality problems is a notoriously difficult task. But with its update to its Data Intelligence offering, Rocket Software is giving users the ability to navigate their organization’s data l Read more…
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