The AI arms race: who will win the generative model battle
Yael Rozencwajg
Founder and CEO @ Wild Intelligence | AI safety, cybersecurity, enterprise AI mission
Hello, Legends,
Thank you for reading and sharing the weekly digest of Wild Intelligence .
The landscape of generative models is evolving at a breakneck pace, driven by advancements in deep learning and the availability of vast datasets.
These models, capable of generating new content indistinguishable from human-created work, can potentially revolutionize industries from creative arts to scientific research.
However, the race to dominate this burgeoning field is not solely determined by technical prowess. Market dynamics, regulatory environments, and ethical considerations are crucial in determining long-term success.
The generative model's landscape's complexities require examining the interplay between technical efficiency and macro-socioeconomic factors.
It is essential to identify the key challenges and opportunities faced by your organization vying for dominance in this space and provide insights into potential strategies for efficient success.
By understanding the multifaceted nature of this competition, we can gain valuable perspectives on the future of generative AI, what to look for, and where to invest:
Addressing these questions can help us gain a deeper understanding of the challenges and opportunities facing companies in the generative models landscape and develop strategies for long-term success.
The essence of this weekly publication is inherently embedded in this mindset: to bridge the gap between traditional mechanisms and increasingly sophisticated actions.
Each post is specially conceived to help business leaders frame the context of Decision Intelligence?in the AI era. As I deepen my work, I bring new things I am excited to share.
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Thanks for reading, and see you next week!
See you next week.?Yael .
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Wild Intelligence is circulated for informational and educational purposes only.
Wild Intelligence Research utilizes data and information from public, private and internal sources, including data from actual open data access. While we consider information from external sources reliable, we do not assume responsibility for its accuracy.
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#AI #cybersecurity #LinkedIn #generativeAI #genAI
Founder and CEO @ Wild Intelligence | AI safety, cybersecurity, enterprise AI mission
2 个月Another great point by Radu Miclaus, #Gartner: The relevance, trustworthiness and quality of AI and #GenAI applications is increasingly dependent on the quality of enterprise private data and documents for grounding. https://www.dhirubhai.net/posts/radu-miclaus-ms-mba_genai-unstructureddata-semistructureddata-activity-7243972858845048837-Fnl1?utm_source=share&utm_medium=member_desktop?
Founder and CEO @ Wild Intelligence | AI safety, cybersecurity, enterprise AI mission
2 个月Adding here Lewis' much relevant post "How L’Oréal is capturing value from GenAI": https://www.dhirubhai.net/posts/lewiswalkerai_how-lor%C3%A9al-is-capturing-value-from-genai-activity-7243936822085451776-8p2L?utm_source=share&utm_medium=member_desktop