Big Tech ups the ante on AI for enterprise with generative data storytelling
Generative AI's poetic hallucinations might clash with data science rigor: The tech industry's growing catalog of generative AI app integration raises questions about performance and adoption best practices.
What is generative AI in enterprise?
Generative AI refers to a type of artificial intelligence that can create content, such as text, images, or data narratives, based on input it receives. In enterprise applications, it is being integrated into productivity tools to enhance data analysis and storytelling, allowing users to derive insights from data in a more intuitive manner.
How are major tech companies using generative AI?
Microsoft has integrated generative AI into its Microsoft 365 and Office applications through features like Copilot, which assists users in analyzing and visualizing data. Similarly, Salesforce has enhanced its Tableau platform with an AI Data Stories feature that provides narrative insights from data, enabling users to ask questions and receive automated responses.
What are the challenges of using generative AI?
One of the main challenges with generative AI is its potential for inaccuracies, which raises concerns about whether it might produce fictional narratives from data instead of factual insights. Companies are aware of these issues, and many, including Microsoft, have labeled their generative AI features as experimental, indicating they are not yet ready for production use.

Big Tech ups the ante on AI for enterprise with generative data storytelling
published by Infinitech Consulting, LLC
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