)
Unpacking Public Generative AI Models: Friend or Foe?
Dec 12, 2024
AI at Scale Stage
AI at Scale Stage
- Learn how to identify the tasks and situations where Gen AI tools can be most beneficial
- Identify potential issues with Gen AI outputs, such as factual errors, biases reflecting training data, and limitations in originality
- Explore how sensitive information inadvertently copied and pasted into these tools (e.g., customer data, financial information) could be compromised
- Gain practical guidance through case studies showcasing how different industries are leveraging user-friendly Gen AI effectively
Speakers
Session Type
Keynote
Content Focus
Use Case
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
)
)
){kind=logo}
){kind=logo}
){kind=logo}
)
)
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
)
){kind=logo}
)
)
-(1).png/fit-in/500x500/filters:no_upscale()){kind=logo}
){kind=logo}
){kind=logo}
)
.svg){kind=logo}
)
)
){kind=logo}
.jpg/fit-in/500x500/filters:no_upscale())
){kind=logo}
.jpg/fit-in/500x500/filters:no_upscale())
)
){kind=logo}
){kind=logo}
){kind=logo}
)
)
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
.png/fit-in/500x500/filters:no_upscale())
.png/fit-in/500x500/filters:no_upscale())
){kind=logo}
.png/fit-in/500x500/filters:no_upscale())
