Enterprises are concerned about AI Costs, Governance and Trust

SUMMARY: As AI within the Enterprise matures, we look at 10 concerns and challenges that are still causing Chief AI Officers to worry about success in the future.
SHOW: 1040
SHOW TRANSCRIPT: The Enterprise AI Show #1040 Transcript (docs.google.com/document/d/17xTRdSG5NuQVq3L2cO…)
SHOW VIDEO: youtu.be/RyB4m17YK_4
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• Nasuni - Activate your data for AI and request a demo (nasuni.com/AI)
• OutShift by Cisco - “Scaling Out Superintelligence” (outshift.cisco.com/internet-of-cognition/white…) The Internet of Cognition architecture
• ShareGate - ShareGate Protect. Microsoft 365 Governance, we got this! (sharegate.com/protect)
SHOW NOTES:
THESIS: After spending time with a number of Enterprise companies, what are a list of challenges and concerns they still have in implementing GenAI across a broad set of use-cases within the Financial Services industry?
• Everybody started with what was available (e.g. CoPilot)
• Enterprise implementations (now) aren’t autonomous
• Rising costs are the looming concern
• Governance is a rising concern
• Measurements of improvement are available, but varied
• Explaining measurements is complicated
• Explaining trust is more complicated
• Use-cases are fragmented, but there if you apply the technology, but not always obvious
• De-centralized (shadow AI) to Centralized to De-centralized (semi-controlled)
• The learning curves are very asymmetrical across teams
• Not everyone has access to Mythos or GPT-5.5-Cyber (yet)
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