AWS Podcast
#634: Innovating with generative AI starts with your data strategy
Nov 2, 2023
Gopinath Sankaran, VP at Informatica, joins Jillian Forde to discuss generative AI's transformative power. They explore its varied applications across business operations and customer experience. They highlight the importance of a strong data foundation for generative AI, including data architecture, sources, quality, security, and governance. They provide tips for getting started with generative AI and share their experience in using it for data management processes.
20:04
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Quick takeaways
- Generative AI can be applied to optimize business operations and improve customer experience across various industries.
- To successfully implement generative AI, businesses need to establish a trusted data foundation through proper data management.
Deep dives
Business Goals and Use Cases for Generative AI
Generative AI can be applied to various business goals and use cases. In terms of functional areas, it can optimize business operations, such as document processing and quality control, enhance employee experience through text summarization and code generation, and improve customer experience with virtual assistants and creative content development. Across industries like healthcare and life sciences, generative AI is used in diagnostics, imaging, drug discovery, clinical trials, and precision quality control. From marketing to manufacturing, there are ample opportunities to leverage generative AI for different business needs.
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