Published: 03 July 2024
Thousands of tech software and service providers describe themselves as generative AI vendors or say they use GenAI in their products, but capabilities vary widely. This research offers questions for IT leaders to ask vendors to assess the capabilities, risks and value of GenAI solutions.
Vendors commonly focus their product marketing on the uniqueness of their AI technology rather than the problem it solves and how it helps users.
Generative AI (GenAI) products require transparency and explainability to foster trust, accountability and ethical use. Enterprises are prioritizing GenAI-enabled products that offer built-in guardrails to protect data and deliver accurate results that users can trust.
Understanding a product’s technical foundations, such as the algorithms used, training data sources and model architecture, is critical to understanding its performance, scalability and adaptability. This insight helps organizations make more informed decisions about implementation, customization and integration into
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Analysts:
Jim Hare, Whit Andrews, Haritha Khandabattu, Radu Miclaus, Bill Ryan
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