Mom I’ve missed you everyday since your passing 1 year ago today. I hope I was able to keep my promise to you by being a good son & taking care of dad. I know you’re in a better place now but it doesn’t make it easier for me living without you. Love you ❤️
Most enterprise IT leaders are stuck choosing between two hard problems:
- Do you put your smartest people on AI?
- Or do you put them on VMware rationalization?
In this week’s CTO Advisor Podcast, I sat down with @vmiss33 to talk about why that tension exists—and why it’s actually the wrong framing.
We get into:
- Why most enterprises don’t need massive GPU racks (and how badly AI sizing is misunderstood)
- Why virtualization rationalization is a prerequisite to AI—not a distraction from it
- What’s really happening with data center builds at the local level (not the hype version)
How experienced infrastructure leaders are using AI tools to build real systems without becoming full-time coders
This is a practitioner-to-practitioner conversation.
No hype. No vendor bingo cards. Just reality.
🎧 Listen here: https://t.co/tayAPJwwpd
GK just shared the same thing I see. Data management and normalization takes 80% of data scientists time. Data wrangling is the problem to solve in data analytics across data sources. #NetAppInsight.