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: 1040SHOW TRANSCRIPT: The Enterprise AI Show #1040 TranscriptSHOW VIDEO: https://youtu.be/RyB4m17YK_4SHOW SPONSORS:Nasuni - Activate your data for AI and request a demoOutShift by Cisco - “Scaling Out Superintelligence”  The Internet of Cognition architectureShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!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 autonomousRising costs are the looming concernGovernance is a rising concernMeasurements of improvement are available, but variedExplaining measurements is complicatedExplaining trust is more complicatedUse-cases are fragmented, but there if you apply the technology, but not always obviousDe-centralized (shadow AI) to Centralized to De-centralized (semi-controlled) The learning curves are very asymmetrical across teamsNot everyone has access to Mythos or GPT-5.5-Cyber (yet)FEEDBACK?Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow