OpenAI and Anthropic just met with religious leaders at the ‘Faith-AI Covenant.’ Here’s why
The first-ever roundtable in New York discussed how to ethically shape AI in the midst of its explosive growth.
InfoWorld AI·
New York NY: Secure container images startup Minimus, today announced the appointment of Yael Nardi as Chief Business Officer (CBO). In this newly established role, Nardi will lead the company’s next stage of scaling, overseeing growth strategy, operations, and corporate development. As the market landscape evolves and AI impacts customer acquisition, Minimus is introducing an operational model to scale marketing and strategic alliances, which Nardi will manage. “We are entering a phase of aggressive expansion that requires rigorous execution and a completely new playbook. Traditional marketing strategies are no longer enough in today’s fast-moving environment. We need an operational powerhouse at the helm. Yael is a world-class operator accustomed to zero-error environments and high-stakes execution. We are choosing intelligence, speed, and strategic alignment, and there is no one I trust more to run this machine.” – Ben Bernstein, CEO at Minimus Nardi joins Minimus with over 15 years
Read full articleThe first-ever roundtable in New York discussed how to ethically shape AI in the midst of its explosive growth.
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This week in New York, my Oracle team ran workshops for enterprise developers on building retrieval-augmented generation and agentic applications. Interest was so strong that we quickly had to figure out how to double the room’s capacity (much to the fire marshal’s chagrin). Interest in AI was clearly off the charts. But AI fluency was not. It was a different vibe (and audience) from what we’ve seen in a course we built with DeepLearning.ai, which attracts a more advanced audience ready to build memory-aware agents. I recently argued that enterprise AI is arriving unevenly across companies and even across teams within the same company. But after watching developers plow through these different workshops, I believe this uneven adoption points to something even more telling: uneven engineering capability. Put differently, the real divide in enterprise AI isn’t just between companies moving fast and companies moving slow. It’s between teams treating AI as a prompt-driven demo and teams le