Enterprises Need to Control Their Own Generative AI, Say Data Scientists
– New poll data from Domino Data Lab reveals that generative AI cannot be outsourced, and enterprises must fine-tune or control their own models.
– Data scientists believe that generative AI will have a significant impact on enterprises in the coming years.
– Data scientists believe that generative AI will have a significant impact on enterprises in the coming years.
– 90% of data science leaders believe that the hype surrounding generative AI is justified.
– More than half of the respondents think that generative AI will significantly affect their businesses within the next 1-2 years.
– Simply relying on AI features offered by software vendors is insufficient for generative AI success.
– 94% of survey participants believe that organizations must develop their own generative AI offerings.
– Over half of the respondents plan to leverage foundation models created by third parties and build differentiated customer experiences on top of them.
– A significant portion of the respondents believe that organizations should develop their own proprietary generative AI models.
– Data science leaders emphasize the importance of fine-tuning large language models or building proprietary models rather than relying on third-party applications.
– Smaller language models and additional fine-tuning, along with human-in-the-loop reinforcement learning, are preferred for operationalizing generative AI.
– Data security and intellectual property (IP) protection are crucial factors for enterprises in the context of generative AI.
– Enterprises will invest in both current generative AI offerings and their own capabilities to create specialized and differentiated generative AI models for real use cases.
AI 'Virtual Girlfriend' Sparks Controversy and Raises Questions About AI's Role in Creative Industries