Ascendion15 Feb, 2024Technology
Data security and reliability are crucial for generative AI models and platforms. To protect private information, check how your model or tech partner ensures data confidentiality and prevents leakage. Confirm that the data is reliable and that anomalies are detected and fixed. Also, consider legal implications, social impact, and business reputation when evaluating these factors. A holistic platform management process should cover all these checkpoints. To facilitate scaled adoption with minimal risk, establish a core committee with stakeholders from leadership, engineering, IT, finance, legal, and operations. Track impact at every stage and compare theory to implementation to identify gaps and improve efficiency. Work with established engineering partners from an AI consulting company who offer a transparent framework. Ask questions ? understand where your data is fed, how they are using it and how is it impacting your business, at all stages.
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