Carm Taglienti, Chief Data Officer and Data/AI Portfolio Director for Insight, discusses the future of generative AI capabilities, including more complex models and faster training. They also explore the role of AI in personalized learning, regulation, compliance, and oversight. Additionally, they draw parallels between the dawn of AI and the printing press, highlighting the importance of trust and reliability in AI systems.
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Quick takeaways
Generative AI capabilities are expected to become more complex and efficient, requiring organizations to be adaptive and innovative in order to keep up with advancements.
Generative AI has the potential to revolutionize the way we learn and train, with a focus on quality content and the role of instructors in refining knowledge remaining crucial.
Deep dives
The Future of Generative AI
Generative AI capabilities are expected to become more complex and efficient, with faster training and inference. Organizations need to be adaptive and innovative in order to keep up with the advancements in generative AI. Embracing an inclusive culture that fosters ideas is crucial for organizations to thrive in this evolving landscape. Additionally, there needs to be a shift in the perception of data as a valuable asset, as it plays a vital role in driving generative AI forward.
Challenges and Opportunities in Learning and Training
Generative AI has the potential to revolutionize the way we learn and train. The focus on quality content becomes paramount, allowing individuals to consume information in the modality that suits them best. Yet, challenges persist regarding intent and bias. While generative AI can augment learning, the role of instructors in refining knowledge and ensuring learning outcomes remains crucial.
Implications for Compliance and Oversight
Generative AI holds promise in improving compliance practices and oversight. By enabling interactive and personalized training experiences, it becomes easier to address compliance issues and encourage a deeper understanding of regulations. Furthermore, generative AI can assist in validating information and ensuring its quality, safeguarding against biases and misinformation that may arise from AI-powered systems.
Today’s guest is Carm Taglienti, Chief Data Officer and Data/AI Portfolio Director for Insight. Insight is a leading IT solutions provider specializing in streamlining enterprise data infrastructure. Carm returns to the program to talk about the future of generative AI capabilities, offering predictions that the technology will be characterized by more complex and efficient models, faster training and inference. Later, he and Emerj Senior Editor Matthew DeMello pull apart what these improvements mean both in their range of capabilities and applicability in various industries. This episode is sponsored by Insight. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.
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