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Generative AI is only as good as the data you feed it | Capgemini

Mar 05, 2024 - capgemini.com
The article discusses the potential of generative AI in various fields, emphasizing its role in boosting profits, reducing costs, and expanding into new markets. It highlights how organizations like the University of Toronto, Bayer, and Khan Academy are already leveraging generative AI. The article also stresses the importance of training AI models on high-quality data and establishing a solid data foundation for effective use. It further explains the need for automated data pipeline platforms, like Fivetran, to capture and maintain the flow of data for training generative AI applications.

The piece then outlines the challenges in operationalizing generative AI, including data quality, security, user experience, and scalability. It suggests using pre-trained foundation models and supplementing them with unique business data for optimal results. The article concludes by highlighting the use of generative AI by companies like JLL and AAA, and emphasizes the importance of getting the data right for successful implementation of generative AI. It also mentions the role of generative AI in creating a unique competitive advantage for businesses.

Key takeaways:

  • Generative AI is transforming various industries and is considered a hot topic in boardroom discussions. It can be used to create a sustainable competitive advantage by combining proprietary data with foundation models.
  • Data readiness for generative AI depends on the ability to move and integrate data from various sources in a secure, cost-effective manner, and the implementation of data governance.
  • Challenges in operationalizing generative AI include data quality and preparation, security and governance, user experience, and scalability. Choosing the right foundation model can significantly impact performance and capabilities.
  • High-quality, usable, trusted data built on automated, self-healing pipelines is crucial for making full use of powerful foundation models and driving innovation through generative AI.
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