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Accenture AI Leaders Podcast

AI Leaders Podcast #55: From Productivity to Creativity, The Real Value of Generative AI Pt.2

Jan 22, 2024
Guests Teresa Tung, May Habib, and Marc Appel discuss the impact of Generative AI from a trust perspective. They explore the importance of security, accuracy, legality, and transparency in generative AI platforms. They also delve into the challenges and opportunities in the field, including the use of semantic layer and domain knowledge graph for increased accuracy and contextualization. The chapter highlights the significance of trust in AI and suggests potential future implementation of AI guardrails and certifications.
29:22

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Quick takeaways

  • Enterprise-ready generative AI should prioritize security, accuracy, legality, and transparency.
  • Implementing generative AI responsibly requires careful consideration of data security and integrity.

Deep dives

Attributes of Enterprise-Ready Generative AI

Enterprise-ready generative AI should prioritize security, accuracy, legality, and transparency. Security involves ensuring that user data remains within the environment and complies with privacy and regulatory frameworks. Accuracy is essential to generate high-quality results that surpass human capabilities. Legal considerations are crucial due to increasing scrutiny on the training data used for generative AI, requiring compliance with international regulatory frameworks. Transparency, particularly in code, training data, and model weights, is vital for collaboration and building powerful, useful solutions.

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