“I like to think about proprietary data as an organization’s collective intelligence,” says Teresa Tung, Global Lead of Data Capability at Accenture. Teresa is a prolific inventor, holding over 225 patents and applications, and she leads the vision and strategy that ensures that Accenture is prepared for ever-changing data advancements. In this episode, Susan and Teresa discuss the changing nature of data and its value to an AI strategy. Teresa shares six insights to help organizations derive value from their proprietary data, including: the importance of unstructured data, the potential of synthetic data; why context is key for AI; data governance and security; and how generative AI can jumpstart data readiness. It’s a master class in data strategy, and a must-listen for anyone who is curious about how to get the most from their data, AI and cloud investments.
Related: 6 insights to make your data AI-ready, with Accenture’s Teresa Tung https://aka.ms/teresatungblog
Air Date: January 28, 2025
Chapters:
00:00 – 00:56 Introduction
00:56 – 03:41 The business value of proprietary data. Why your proprietary data is a core competitive advantage.
03:41 – 8:22 The importance of unstructured data. How generative AI can help unlock the value of your unstructured data.
8:22 – 14:13 The potential of synthetic data. How synthetic data can help fill in data gaps and enable organizations to explore multiple scenarios while mitigating cost and risk.
14:13 – 19:02 Data governance and security. The importance of understanding your data governance and security landscape, and how it changes with AI.
19:02 – 23:02 How generative AI can jumpstart data readiness. Understand data, map relationships across data and concepts, and write programs, testing and documentation.
23:02 – 25:19 Conclusion. Susan shares takeaways from the conversation and the future of data and AI.
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