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Data Bytes

Measuring the Value of AI Solutions

Apr 4, 2024
Discussion on the rapid developments in AI, identifying key indicators for AI opportunities, challenges in realizing AI value, timelines for AI implementation benefits, successful AI workflow integration, responsible AI practices, Cal's journey in founding Panda Data, navigating challenges in regulated industries, personal motivations, and the vision for AI auditing practice.
39:36

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Quick takeaways

  • Responsible AI involves comprehensive factors like ethics, data privacy, and robustness beyond individual harm assessment.
  • Organizations face challenges in evaluating ROI from AI due to overlooking key indicators and the complexity of categorizing AI tools in operations.

Deep dives

The Significance of Responsible AI

Responsible AI encompasses ethics along with other essential factors like data privacy, robustness, and reliability. In the evolving era of Gen AI, organizations are preparing for a comprehensive approach to AI solutions. This involves considering various guardrails beyond merely assessing potential harm to individuals, indicating a shift towards holistic AI governance.

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