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Blog > machine learning

Why Data Integrity Must be Built on a Foundation of Availability

Why Data Integrity Must be Built on a Foundation of Availability

The immediate availability of information was not always as important as it is today. In times past, the flow of information was generally slower, and to a great extent, so was the overall pace of...

Authors Photo Precisely Editor | Integration | January 24, 2022
The Importance of Data Integrity in the Age of AI/ML

The Importance of Data Integrity in the Age of AI/ML

Artificial intelligence and machine learning (AI/ML) holds tremendous promise for improved efficiencies, automation, and valuable insights that can drive business value. Machine learning (ML) is a...

Authors Photo Precisely Editor | Data Integrity | October 11, 2021
Why The Mainframe Still Matters in 2020

Why The Mainframe Still Matters in 2021

Mainframes have been the workhorses of the corporate data center for more than half a century. With the advent of new technologies such as the cloud and low-cost x86 commodity servers, many tech...

Authors Photo Precisely Editor | Mainframe | April 30, 2021
Data Quality Benefits – A Full Review of Use Cases & Trends

The Benefits of Data Quality – A Review of Use Cases & Trends

Looking for an overview of use cases and current trends for data quality? You’ve come to the right place! In this post, we review the benefits of data quality and how it can help your business....

Authors Photo Jamie Heckler | Data Quality | May 2, 2020
How Data Quality Impacts Machine Learning - Precisely

How Data Quality Impacts Machine Learning

GIGO – Garbage In, Garbage Out – is a saying that’s been around since the early days of computing. But in the age of artificial intelligence, machine learning, and data quality, that old adage...

Authors Photo Ron Franklin | Data Quality | April 9, 2020
Your Data Governance Solution Essential to AI and Machine Learning

Your Data Governance Solution Essential to AI and Machine Learning

Enterprise use of Artificial Intelligence (AI) and machine learning is growing rapidly. A 2019 report by Gartner reveals that over the previous four years, the number of enterprises employing AI grew...

Authors Photo Ron Franklin | Data Quality | April 8, 2020
The Top Seven Reasons to Marry Machine Learning and Your Mainframe

The Top Seven Reasons to Marry Machine Learning and Your Mainframe

Machine learning (ML) has come to the mainframe, and with it the ability to analyze (and monetize) mainframe data in place. “Mainframes generate a massive volume of useful but overwhelming data...

Authors Photo Ron Franklin | Mainframe | March 7, 2020
Precisely Partners with Databricks to Break Down Your Data Silos

Precisely Partners with Databricks to Break Down Your Data Silos

Today, Precisely announced its new partnership with Databricks to help organizations liberate data from a diverse set of silos – mainframe, IBM i, on-prem Hadoop, Oracle, and more – and leverage...

Authors Photo Precisely Editor | Big Data | February 24, 2020
How to Use Machine Learning to Improve Data Quality

How to Use Machine Learning to Improve Data Quality

Everyone knows that data is valuable — as long as it’s of high quality. At many companies, that’s sadly not the case. There can be errors lurking in your digital information, and those errors...

Authors Photo Rachel Levy Sarfin | Data Quality | November 29, 2019

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