AI Adoption Challenges and the Future of Applications Discussed at EY Conference
Translated & summarized from Calcalist by baba
Shi Levi, founder of UnFrame, discussed the challenges of AI adoption at an EY conference, highlighting the gap between AI capabilities and business integration. He launched UnFrame after selling Noname, despite doubts about its necessity, to address this "last mile" problem. Levi and Yair Weinberger of Reindeer AI also shared how their companies use AI agents extensively, while debating the future necessity of application layers alongside advanced AI models.
The story in 5 lines · by baba
- Shi Levi founded UnFrame to bridge the gap between AI capabilities and business integration, despite initial skepticism.
- The "last mile" of AI adoption, integrating technology for real value, is a key challenge for businesses.
- AI has significantly accelerated development, but the AI market's "noise" makes focusing on true value difficult.
- Companies like Reindeer AI and UnFrame extensively use AI agents, sometimes needing to curb excessive output.
- Leaders believe application layers remain essential for tailoring AI to specific needs, even as models advance.
At a panel discussion during EY's Journey conference, industry leaders explored the transformative impact of Artificial Intelligence (AI) on businesses, focusing on development pace and technology adoption. Tal Morgenstern, a partner at Lightspeed Venture Partners, moderated the conversation, which featured Shi Levi, founder and co-CEO of UnFrame, and Yair Weinberger, founder and CEO of Reindeer AI.
Shi Levi explained his decision to found UnFrame shortly after selling his previous company, Noname, in early 2024. Despite widespread skepticism about the need for his new venture, Levi identified a critical gap: the "last mile" of AI adoption, which is the disparity between AI's capabilities and an organization's ability to integrate it effectively for real value. He expressed excitement about AI's potential, feeling compelled to be part of its advancement.
Levi contrasted past development challenges, which required extensive coding for minor features, with the current speed enabled by AI. However, he noted the overwhelming noise in the AI market, making it difficult to discern true value. The primary challenge today, he stated, is attention management amidst rapid changes and emerging opportunities.
Yair Weinberger shared that Reindeer AI integrates AI agents across all departments, with AI handling approximately 95% of the work in their client acquisition division. Levi echoed this, noting that at UnFrame, they sometimes advise sales teams to reduce their AI output, emphasizing that ease of generation doesn't equate to value.
Both leaders discussed business success in the AI era. Levi prioritizes genuine growth based on solid foundations over resource-intensive operations, seeking profitability and value creation. Weinberger stressed the importance of a sustainable business model that allows for long-term growth, even with lower margins.
Addressing the future of AI applications, Weinberger and Levi disagreed with the notion that advanced models will eliminate the need for application layers. They argued that applications are crucial for solving specific problems, tailoring technology to user needs, and delivering practical products. Levi described UnFrame as an "AI laboratory" that bridges the gap between raw models and client requirements, asserting the vital role of the application layer in the evolving AI landscape.