359. AI Adoption: How Global CIO's See the Challenges and Opportunities

Mar 4, 2025

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In this episode, host Michael Marchuk engages with Jeremy Rossi and John Bellone, both Global CIOs at SS&C, to discuss the evolving landscape of technology, particularly focusing on quantum computing and artificial intelligence. They explore the implications of new technologies, the challenges organizations face in adopting them, and the importance of governance in AI. The conversation highlights the need for a strategic approach to integrating these technologies into business processes, emphasizing that while advancements like LLMs are impressive, they are just one part of a broader technological evolution. In this conversation, the speakers delve into the evolving landscape of AI, particularly focusing on its interaction models, implications for software development, and the importance of governance in AI usage. They discuss the risks associated with AI outputs, the role of human experts in decision-making, and the varying levels of consumer trust in AI technologies. The conversation also touches on the efficiency of AI in business contexts, the potential for AI to serve as a learning tool, and the broader implications of AI on global inequality.

Here’s what we talked with Jeremy and John about:

Quantum computing is still years away from practical application despite recent advancements.
AI models are rapidly evolving, making it challenging for organizations to select the right one.
Governance is crucial for effectively onboarding and managing AI technologies.
LLMs are not the end-all solution; there's more to explore in AI.
The future of AI involves integrating multiple models for better outcomes.
Expectations for AI should be set realistically, similar to the evolution of autonomous vehicles.
Quantum computing offers unique problem-solving capabilities but is not a universal solution.
Organizations should be dynamic in their approach to adopting new technologies. AI interaction models are evolving with user needs.
Ownership of AI-generated code remains ambiguous.
Risk evaluation is crucial when using AI outputs.
Experts should guide AI decision-making processes.
AI can enhance efficiency but may create divides.
Consumer trust in AI varies across generations.
AI can serve as a valuable learning tool.
The context of use influences AI's effectiveness.
Global inequality may be exacerbated by AI access.
Governance is essential for responsible AI usage.

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