In this EDUCAUSE episode, Dr. Vanessa Kenon from UTSA, Tonya Bennett from the University of Pennsylvania, and Tim Boltz from Carahsoft break down how universities are building student workforce pipelines, navigating AIβs legal wild west, and cutting through procurement complexity - all before the pace of change outstrips them.
In this episode, Dave Weil from Ithaca College and Mark Richards from Omnissa explore how a small liberal arts IT team built an AI tool that freed up 150 at-risk student meetings - and why human-to-human connection has to stay at the center of any real AI strategy.
In this EDUCAUSE episode, Josh Bright from UC Santa Barbara, Dwane Sterling from Virginia Tech, and JJ Mahon from Cisco ThousandEyes break down what it means to lead IT before the problems find you - from building a collaborative leadership team to monitoring the student experience before the first ticket ever lands.
In this EDUCAUSE episode, Lester Godsey from Arizona State University, Dan Kent from Cloudflare, and Matthew Leger from IDC break down why most institutions are still in the AI Wild West - and what it actually takes to govern, secure, and scale AI across a campus before agentic systems make the problem exponentially harder.
In this EDUCAUSE episode, Ed Clark from CSU, William Huang from UT System, and Chuck Romero from Palo Alto break down what it actually takes to close the AI divide across 460,000 students β and why browser security is now the front line.
In this EDUCAUSE episode, leaders from UCLA, Vanderbilt, and Ericsson break down the 5G vs WiFi campus debate and what it means for the future of higher education networking.
In this EDUCAUSE episode, leaders from Maricopa Community Colleges, Dell, and NVIDIA break down what's actually broken in higher ed workforce pipelines β and what AI workforce development can do to fix it.
In this EDUCAUSE episode, Kyle Bowen from Arizona State University, Joe Sabado from UC Santa Barbara, and Doug Thompson from Tanium make the case that efficiency was never supposed to be the finish line β and break down what responsible AI adoption actually looks like when it connects to the mission.