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Episode #58: The IT Operating Model & Measuring the ROI of AI
In this episode, the Kyle's discuss the challenges and strategies related to IT operating models for mid-sized companies, particularly those owned by private equity firms.
They highlight the importance of scalability, resilience, and risk mitigation in these companies, which often have lean IT teams and face pressure to mature their infrastructure.
They mention the significance of aligning IT strategies with the company's deal thesis and long-term goals, emphasizing the need for a holistic approach to IT management.
The conversation touches on topics such as onboarding processes, outsourcing decisions, and forward planning for future growth.
Then, they discuss the evaluation of ROI (Return on Investment) in AI (Artificial Intelligence) implementations.
Kyle Hall introduces the topic, emphasizing its relevance and complexity due to recent news articles and marketing claims about AI ROI.
They delve into the challenges of assessing ROI for AI, considering both hard returns (such as cost savings and productivity increases) and soft benefits (like improved user experience and skill retention).
They explore various use cases, ranging from computer vision in healthcare to predictive maintenance in vending machines, highlighting the potential impact on efficiency and decision-making.
The conversation underscores the importance of defining clear use cases for AI projects and acknowledges the strategic imperative for organizations to explore AI despite the current difficulties in quantifying ROI.
They conclude by emphasizing the need for ongoing monitoring and adaptation in AI initiatives.
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By ResourciveIn this episode, the Kyle's discuss the challenges and strategies related to IT operating models for mid-sized companies, particularly those owned by private equity firms.
They highlight the importance of scalability, resilience, and risk mitigation in these companies, which often have lean IT teams and face pressure to mature their infrastructure.
They mention the significance of aligning IT strategies with the company's deal thesis and long-term goals, emphasizing the need for a holistic approach to IT management.
The conversation touches on topics such as onboarding processes, outsourcing decisions, and forward planning for future growth.
Then, they discuss the evaluation of ROI (Return on Investment) in AI (Artificial Intelligence) implementations.
Kyle Hall introduces the topic, emphasizing its relevance and complexity due to recent news articles and marketing claims about AI ROI.
They delve into the challenges of assessing ROI for AI, considering both hard returns (such as cost savings and productivity increases) and soft benefits (like improved user experience and skill retention).
They explore various use cases, ranging from computer vision in healthcare to predictive maintenance in vending machines, highlighting the potential impact on efficiency and decision-making.
The conversation underscores the importance of defining clear use cases for AI projects and acknowledges the strategic imperative for organizations to explore AI despite the current difficulties in quantifying ROI.
They conclude by emphasizing the need for ongoing monitoring and adaptation in AI initiatives.