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...

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...

In an age in which significant marketplace shifts can take place with bewildering speed, many companies are finding that the IT infrastructure that served them well for many years can no longer keep...

With the advent of distributed processing and the cloud, many predicted that the mainframe would eventually fade away. In fact, just the opposite is happening. According to a recent survey, the...

What do 96 of the world’s 100 largest banks, 90% of the largest insurance companies, 92% of the largest retailers in the United States, and 71% of the Fortune 500 have in common? They all continue...

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...

Each year Database Trends and Applications magazine (DBTA) compiles a list of trend-setting data management and analysis products. These are the solutions the magazine believes best fulfill “the...

Today, more than ever, big data is king. It is indispensable for functions such as advanced analytics, business intelligence, machine learning, AI, data profiling and data governance. For many modern...

ETL data (extract, transform and load) has for years been a workhorse technology for enabling analysis of business information. But now it’s being joined by a new approach, called data preparation...