#634: Innovating with generative AI starts with your data strategy
Nov 2, 2023
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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.
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.
Data Prerequisites for Implementing Generative AI
To successfully implement generative AI, leaders need to establish a trusted data foundation. This involves understanding the quality, usability, security, and governance of their data. Key data prerequisites include comprehending the data architecture, sources, and quality metrics, as well as ensuring the data is secure and usable. Building a solid data management strategy is crucial for generating reliable and valuable outcomes from generative AI solutions. By recognizing data as a strategic asset and prioritizing proper data management, businesses can achieve trustworthy generative AI results.
Informatica's Experience with Generative AI
Informatica, a data management solution company, has been extensively involved in generative AI. They have used generative AI in their own data management processes since 2016-2017, gaining valuable insights and learnings. Through their experience, they emphasize the significance of data management for generative AI. Informatica provides guidance based on their own mistakes, best practices, and the understanding that data is the core fuel for generative AI. Interested individuals can learn more about Informatica and its generative AI journey by visiting informatica.com and exploring customer success stories like that of Gilead Sciences.
Explore the transformative power of generative AI in businesses. In this episode, our host, Jillian Forde, is joined by Gopinath Sankaran (Vice President Strategic Cloud Ecosystems at Informatica) to discuss all things generative AI. We talk about generative AI's varied applications across functional areas like business operations and customer experience and explore the importance of a strong data foundation for generative AI.
Fuel innovation with data and AI: https://go.aws/3MpV3yE
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