The State of Data Quality: The Elephant in the AI Room


Confidence in the integrity, accuracy, and trustworthiness of data is currently at a low point – at a time when it's more crucial than ever. In a recent survey, only 23% of DBTA subscribers expressed full confidence in their data, and close to one-third said that data quality is a constant, ongoing issue. What's more, new data analytics and AI projects are how most organizations are currently finding out about data quality issues.

On the one hand, this not surprising given the high levels of interest in obtaining business value from the adoption of new analytics and AI technologies. On the other hand, since AI runs on data, it's also a worrying sign. Without good data, all of these exciting projects are not going to succeed, and when it comes to data quality, many organizations struggle with managing project complexities, finding internal support, and accurately determining ROI.

To dive into the findings of our latest data quality survey and help equip IT decision makers and data professionals with best practices for improvement, DBTA is hosting a special webinar on October 19th. Sign up today to learn how you can step up your efforts for success in the AI era. Reserve your seat today!

Don't miss this live event on Thursday, October 19 – 11:00am PT / 2:00pm ET.

Register now to attend the webinar The State of Data Quality: The Elephant in the AI Room.

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Joe McKendrick
Research Analyst
Robert Stanley
Senior Director Special Projects
Melissa Informatics
Stephen Faig
Research Director
Unisphere Research and DBTA