The Hedge

 
Deploying AI for AI Ops, or even just for general use in your network, is very simple--but we often forget that these kinds of new technologies need to be governed. From privacy through cost, operators need to decide how to govern their AI deployments to control costs, ensure accuracy, measure productivity, and make certain these systems are being used effectively. Colin Cosgrove joins Russ and Tom to look at AI governance.

 
Strong opinions loosely held? This is probably not as good of an idea as it seems. Instead of producing confidence, it might produce overconfidence. Michael Natkin joins Tom and Russ to discuss the problems with this mantra.

 
We often talk about "human infrastructure" in network engineering--but what does this mean, and how do we help engineers "produce" while helping them to flourish as individuals? Catherine Hicks joins Tom and Russ to discuss the psychology of software engineering, and how the lessons learned apply to network engineering.
 
https://media.blubrry.com/hedge/media.blubrry.com/hedge/content.blubrry.com/hedge/hedge-315.mp3
 
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You can find Catherine's new book on the psychology of software engineering here.
If you would like to follow Catherine's writing in this area, including the impact of AI on work, you can find her blog here.
You can connect with Catherine on LinkedIn.

 
Sometimes we can be so focused on the problems in front of us that we forget the people who are following in our footsteps. Michael McCollum, a new network engineer, joins Tom and Russ to ask questions about life as a network engineer.

 
Most designers and operators default to carrying all traffic--including network management traffic--across the same paths as application data, or in band. Is this the right choice, or should operators seriously consider creating an out-of-band network just for network management? If you decide to build an out-of-band network, what are some of the considerations and lessons learned? Daryll Swer joins Tom and Russ to discuss.