No conversation about information is complete without talking about data quality. This is especially critical when it comes to AI, of which so much is expected, because – as is true everywhere – you have to put good stuff IN if you want to get valuable stuff OUT. (GIGO, anyone?)

But: what exactly IS “data quality” anyway? How is it defined? Measured? Improved?

In this InfoGov Community Roundtable, information governance experts Steve Weissman, Jesse Wilkins, Donda Young, and people like YOU address these questions, and more.

Have a listen if you prefer real conversation over talking-head webinars, and real-world stories over ivory-tower opinions. You'll be glad you did!

© Steve Weissman • All Rights Reserved • www. hollygroup.com • 617-383-4655

Imagine you have a piece of paper and you’re going to peel the information off the page. Why? Because it's the INFORMATION that has the value. The fact that it happens to be on a piece of paper or a disk or hard drive doesn't matter. It's the information that's key.

© Steve Weissman • All Rights Reserved • www. hollygroup.com • 617-383-4655

A lot has been said – much of it by me – about the enormous opportunity AI has to propel records and information professionals into the heart of their organizations’ data-related discussions and deployments. After all, it can be only as effective as the quality of the information it operates on enables it to be. So, truly, AI is something we should embrace and not fear.

Explore this dynamic further by listening to my (sometimes gently prickly) interview with EncompaaS CEO Jesse Todd, who describes this exciting potential in terms of “how AI is here to rescue the RIM function” and shares some of his real-world experiences to make the point.

© Steve Weissman • All Rights Reserved • www. hollygroup.com • 617-383-4655