In this conversation about the new realities facing database architects, data technology expert Craig Mullins draws on his new book, "The Cost of Good Enough Data: Why Modern Architectures Fail at Scale" (https://tinyurl.com/wvuctaax).
Topics we cover include:
What Craig means by "good enough data" (3:18)
It's no longer "garbage in, garbage out;" it's "garbage in, amplified garbage out" (8:07)
Why organizations are racing to scale AI in the first place (12:42)
Why so many organizations are unprepared to leverage their data for AI (16:41)
Why scaling AI is a matter of policy and procedure (23:42)
How database and enterprise architects can make sure their skills are still relevant in the AI age (32:58)
Why the core fundamentals of data management still matter (37:24)