In this episode of Lowdown on Lowcode, John Rymer and Rob Koplowitz engage with James Taylor to explore the intersection of low code, AI, and decision management. They discuss the evolution of software, the impact of AI on jobs, and the importance of measuring effectiveness in IT investments. The conversation delves into the role of data, the need for business and IT engagement, and the challenges of mixing probabilistic and deterministic approaches in decision-making. Additionally, they address regulatory challenges and the future of AI in business.
Takeaways
- AI will eliminate a huge number of jobs.
- The impact of AI depends on company strategy.
- You have to be really outcome-focused.
- Probabilistic models can magnify sloppy thinking.
- You need a mix of technologies for effective decision-making.
- Engagement between business and IT is crucial.
- Measuring effectiveness in IT investments is challenging.
- Data availability is key to decision-making.
- Human oversight is essential in AI applications.
- Regulatory challenges may hinder AI adoption.
Timestamps
• 05:17 - The Impact of AI on Jobs and Business Strategy
• 11:05 - Measuring Effectiveness in IT Investments
• 21:24 - Mixing Deterministic and Probabilistic Approaches
• 27:42 - Decision Modeling and High Volume Transactions
• 32:45 - Human Involvement in Decision Processes
• 39:31 - Holistic Automation Strategies
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