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Ep 725: Measuring AI ROI: Why you’re doing it wrong and the 7 Steps to fix it (Start Here Series Vol 11)
Description
Why can't most companies show their ROI on GenAI?
Because their implementation is backwards.
If you're using the same digital transformation playbook that you used for the social media and cloud eras, you're in trouble.
On this 'Start Here Series' episode, we break down what your company is doing wrong and the 7 Step process to properly calculate ROI on your AI efforts.
Measuring AI ROI: Why you’re doing it wrong and the 7 Steps to fix it -- An Everyday AI Chat with Jordan Wilson
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Topics Covered in This Episode:
- Proving and Measuring AI ROI in Companies
- OpenAI’s GDP Benchmark: AI vs Experts
- Debunking MIT’s Viral Zero ROI Study
- Quantitative AI ROI Data from Business Studies
- Invisible Productivity: AI Savings Pocketed by Workers
- Limitations of Pre-AI Job Roles and Metrics
- ROI Calculation: Time Saved and Cost Reduction
- Five Main Reasons AI ROI Isn’t Measured
- Seven-Step AI ROI Measurement Blueprint
- Importance of Ongoing AI Model Retesting
- AI ROI: Training, Education, and Implementation Gaps
Timestamps:
00:00 "AI ROI: Fixing the Debate"
04:50 "AI ROI Debate is Pointless"
08:03 AI Implementation Yields Positive ROI
12:13 AI Reshaping Work Structures
15:08 AI ROI Challenges
20:11 "Baseline Assessment Before AI Implementation"
23:49 "AI Operating System Discussion"
24:35 "Standardized Testing for AI Models"
28:26 "Rethink AI ROI Urgency"
31:37 "Everyday AI: Subscribe & Explore"
Keywords:
measuring AI ROI, AI return on investment, generative AI ROI, GenAI ROI measurement, ROI on artificial intelligence, AI productivity, time saved with AI, cost reduction with AI, AI-driven revenue increase, AI risk avoidance, AI implementation, baseline assessment of AI, BASE framework, pre-AI baseline, digital transformation and AI, quality metrics in AI, cost per task AI, error rates AI, throughput AI, AI utilization rate, AI pilot evaluation, AI business impact, AI model benchmarks,
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