The Enterprise AI Show
The Enterprise AI Show explores the AI journey for Enterprise companies around the world. [formerly The Cloudcast]
As the AI revolution moves from experimentation to execution, The Enterprise AI Show provides the clarity needed to lead. Join Aaron Delp and Brian Gracely as they explore the intersection of generative AI, enterprise systems, and global business strategy. Each episode features clear-headed conversations with the people making actual decisions—founders, investors, and practitioners—focusing on the technical architectures and business models that drive real-world ROI.
New shows every Wednesday and Sunday.
Topics: Enterprise AI strategy · The AI Economy · LLMs in production · AI leadership · Agentic AI · Digital Sovereignty · Machine Learning · AI startups · Cloud Computing
The Enterprise AI Show
Enterprises are concerned about AI Costs, Governance and Trust
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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
SHOW VIDEO: https://youtu.be/RyB4m17YK_4
SHOW SPONSORS:
- Nasuni - Activate your data for AI and request a demo
- OutShift by Cisco - “Scaling Out Superintelligence” The Internet of Cognition architecture
- ShareGate - 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 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)
FEEDBACK?
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