The CTO must now think like the CFO to survive
Lake Dai, globally recognized AI expert and Carnegie Mellon professor, explains why the modern CTO must adopt the financial foresight of a CFO to manage...
How leaders win over their team’s biggest AI skeptics
Superhuman's Loic Houssier shares a practical playbook for driving bottom-up AI adoption on skeptical engineering teams by leveraging a trusted internal...
AI isn't for cutting costs, it's for multiplying impact
Super.com's Matt Culver reframes the AI debate, arguing that leaders should use efficiency gains to multiply team impact and value, not cut costs, by aligning...
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The timelessness of vector databases
Pinecone's Ram Sriharsha makes the definitive case for vector databases, explaining why externalizing search via RAG is essential for the AI stack's security...
Is Agentforce the future of enterprise vibe coding?
Salesforce's Dan Fernandez shares his vision for Enterprise Vibe Coding, detailing how his team is taming agentic AI development with security guardrails,...
Building the internet’s next infrastructure layer
Cloudflare's Brendan Irvine-Broque provides a roadmap for the Model Context Protocol (MCP), explaining how it is evolving into the next infrastructure layer...
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Making tech literacy irrelevant
Ken Kocienda, Apple veteran and creator of the iPhone keyboard and autocorrect, shares his philosophy of bridging the liberal arts with technology to make tech...
Why enterprise AI lives or dies on applied research
Elizabeth Lingg, Director of Applied Research at Contextual AI, explains why the future of enterprise AI depends on grounded models, and how to effectively...
Your AI demo is a lie (and how to make it real)
Alex Salazar from Arcade reveals the four "demo killers" that prevent AI agents from reaching production and explains how embracing constraint and determinism...