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Generative AI in the Workplace
Manage episode 438126705 series 3449109
In the latest episode of Connected Knowledge from Upland Software, host Pete Wright delves into the world of generative AI and its far-reaching impact on the way we work with Upland product marketing manager Skailar Hage. The two discuss the current state of AI adoption and the cultural shifts necessary to adapt to this uncertain new world.
Skailar suggests that we are currently at the peak of the AI hype cycle, with many organizations having invested heavily in AI projects over the past two years. However, measuring the return on investment for these initiatives can be challenging, especially when it comes to productivity-enhancing tools like Microsoft’s Copilot.
The conversation also touches on the importance of security and accessibility when implementing AI solutions, particularly in sensitive industries such as finance, healthcare, and legal. Skailar emphasizes the need for specialized AI models tailored to specific functions and tasks within an organization, rather than relying on a single, large language model.
Looking to the future, Skailar believes that the next evolution of AI will involve sharing the knowledge generated by these models among colleagues and teams. He also highlights the potential for increased collaboration and improved model outputs as a result of this knowledge sharing.
Links & Notes
- (00:00) - Welcome to Connected Knowledge
- (01:16) - All-In on AI
- (06:16) - Building Trust?
- (08:48) - Security and Ethics
- (12:43) - Normalizing toward an AI Future
- (17:47) - Our Stack
27 episodes
Manage episode 438126705 series 3449109
In the latest episode of Connected Knowledge from Upland Software, host Pete Wright delves into the world of generative AI and its far-reaching impact on the way we work with Upland product marketing manager Skailar Hage. The two discuss the current state of AI adoption and the cultural shifts necessary to adapt to this uncertain new world.
Skailar suggests that we are currently at the peak of the AI hype cycle, with many organizations having invested heavily in AI projects over the past two years. However, measuring the return on investment for these initiatives can be challenging, especially when it comes to productivity-enhancing tools like Microsoft’s Copilot.
The conversation also touches on the importance of security and accessibility when implementing AI solutions, particularly in sensitive industries such as finance, healthcare, and legal. Skailar emphasizes the need for specialized AI models tailored to specific functions and tasks within an organization, rather than relying on a single, large language model.
Looking to the future, Skailar believes that the next evolution of AI will involve sharing the knowledge generated by these models among colleagues and teams. He also highlights the potential for increased collaboration and improved model outputs as a result of this knowledge sharing.
Links & Notes
- (00:00) - Welcome to Connected Knowledge
- (01:16) - All-In on AI
- (06:16) - Building Trust?
- (08:48) - Security and Ethics
- (12:43) - Normalizing toward an AI Future
- (17:47) - Our Stack
27 episodes
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