Your Guide to Accurate, Reliable AI/ML – Powered by Data Enrichment
Key Takeaways: Data enrichment is the process of appending your internal data with relevant context from additional sources – enhancing your data’s quality and value. Data enrichment improves your AI/ML outcomes: boosting accuracy, performance, and utility across all applications throughout your business. Overall business benefits of powering your AI/ML initiatives with data enrichment include reduced […]
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 can cause you to make bad decisions. However, there’s a way to improve your data quality (as well as your decisions) […]
Data Trends for 2023
Advanced analytics and AI/ML continue to be hot data trends in 2023. According to a recent IDC study, “executives openly articulate the need for their organizations to be more data-driven, to be ‘data companies,’ and to increase their enterprise intelligence.” At the same time, IDC’s analysts note that a wide gap remains between expectations and […]
Why The Mainframe Still Matters
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 pundits expected the mainframe to fade away sooner rather than later. But that’s far from the case. In fact, in 2021 the […]
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 subset within the larger category of AI which enables machines to learn by consuming large volumes of data to learn its patterns and ultimately make accurate predictions, without requiring […]
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 the world. Today, data flows from one system to another in real time. Latency is measured in tiny fractions of […]
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. Data quality saves you money A big reason to pay attention to data quality is that it can save […]
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 is more relevant than ever. In his article, “Data quality in the era of Artificial Intelligence,” George Krasadakis, Senior Program Manager […]
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 by 270 percent. It’s easy to understand why. With good data governance, AI and machine learning technologies provide an unprecedented ability to extract useful […]
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 that enterprise IT organizations often fail to fully leverage,” says David Hodgson, Chief Product Officer, at Precisely. A major part of the problem is […]
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 massively scalable cloud processing to deliver actionable insights and predictions to the business. Data-driven organizations are looking across the enterprise for the data to […]