In the second part of my interview with Dr. Vishal Sikka, founder and CEO of Vianai Systems, we discuss a novel question: can enterprise tech redeem itself with generative AI? Sikka also shares the top questions customers should ask - to separate solid generative AI vendors from pretenders.
Can enterprise tech benefit from generative AI?
Yes, generative AI presents an opportunity for enterprise tech to rethink its approach. While consumer tech has often led in innovation, generative AI requires responsible implementation, which is an area where enterprises excel. By focusing on security, legal oversight, and ethical use of data, enterprises can create trustworthy AI solutions.
What should enterprises ask generative AI vendors?
Enterprises should ask vendors about the data their language models are trained on, their stance on hallucinations, the ability to explain answers, and whether enterprise data will be used for training other models. Additionally, understanding safeguards against prompt injection attacks is crucial.
How does generative AI impact jobs?
Generative AI can serve as a powerful tool for tasks like content generation and programming, potentially saving time. However, it does not replace jobs outright; rather, it requires human oversight to ensure accountability. The current generation of AI tools is more about enhancing productivity than causing widespread job loss.
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