SHI Survey Shows Only 13% of Research Institutions Are Prepared for AI
Most institutions have an AI strategy but lack the infrastructure, training, and data policies needed for implementation
The Center for Digital Education conducted the survey of leaders and IT professionals across the higher education space in
AI’s applications span a wide range in academia, with two use cases leading the way: chatbots (
“Top research universities are at the forefront of innovation and have led to life-altering inventions like insulin, Wi-Fi technology, and the pacemaker, so getting AI implementation right for these schools is critical,” said Steve Troxel, Public Sector Field Solutions Engineer at SHI. “Having the right policies and guardrails in place makes for the easiest integrations and allows these institutions to take full advantage of the AI systems they’re using.”
According to the survey results, more than
Other key findings from research institutions include:
-
48.6% either have basic training in place or plan to provide training for their staff -
Institutions need the most assistance developing an AI funding strategy (
47.1% ) and identifying available grants (44.1% ) -
Top barriers to implementation include too many competing priorities (
36.8% ), inadequate funding (36.8% ), and lack of AI strategy or ownership (30.9% ) -
Only
16% say their infrastructure is ready for extensive AI integration for students -
29.4% have only somewhat or partially implemented data security and privacy measures into their AI systems
"The best thing institutions can do is hop on board the speeding AI train and figure out how to use it to best reach their destination or goal," said Adam Robyak, Field Chief Technology Officer and Principal Engineer at Dell.
Read the full report for complete findings and learn how SHI and Dell can assist with AI implementation.
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Source: SHI International Corp.