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AIPCon

9 articles · Page 1 of 1
DataFunSummit
DataFunSummit
Oct 25, 2026 · Industry Insights

Eaton's Equipment Forge: Multi-Agent Collaboration via Ontology for Complex Orders

At Palantir AIPCon 11, Eaton demonstrated Equipment Forge, a multi-agent system where specialized agents analyze engineering requirements, check bill-of-materials availability, and evaluate supplier alternatives for custom electrical equipment, all coordinated through a shared ontology that maintains context across the order lifecycle while keeping humans in the loop for critical decisions.

AIPConDigital ThreadEaton
0 likes · 28 min read
Eaton's Equipment Forge: Multi-Agent Collaboration via Ontology for Complex Orders
DataFunSummit
DataFunSummit
Oct 2, 2026 · Industry Insights

Palantir CEO: Only Two Types of Companies Survive AI — Those With Specialized AI Infrastructure and Those Hollowed Out

Palantir CEO Alex Karp argues that AI splits enterprises into those with domain-specific AI-enhanced infrastructure and those without, warning that generic AI tools create no moat; real advantage comes from embedding AI into unique tribal knowledge, validated in extreme scenarios like Project Maven, and transferred to commercial clients through ontology-driven customization.

AI StrategyAIPConFoundry
0 likes · 10 min read
Palantir CEO: Only Two Types of Companies Survive AI — Those With Specialized AI Infrastructure and Those Hollowed Out
DataFunTalk
DataFunTalk
Sep 29, 2026 · Industry Insights

Palantir AIPCon 11: How Ontology Turns AI Agents Into Operational Handoffs Across 12 Enterprise Cases

An analysis of 12 Palantir Ontology case studies from AIPCon 11 showing how AI agents hand off tasks across roles — insurance, manufacturing, defense, aviation, media, pharma — while preserving context, accountability, and decision rationale, with concrete metrics and clear boundaries between demo and production.

AI AgentsAIPConBusiness Workflow
0 likes · 31 min read
Palantir AIPCon 11: How Ontology Turns AI Agents Into Operational Handoffs Across 12 Enterprise Cases
DataFunSummit
DataFunSummit
Sep 21, 2026 · Industry Insights

Palantir CEO Alex Karp: Why Domain-Specific AI Infrastructure Beats Generic Models in the AI Era

Palantir CEO Alex Karp argues the AI era splits enterprises into those with domain-specific AI-enhanced infrastructure and those without, warning that generic AI tools create no competitive moat while specialized, battle-tested methodology — forged in military projects like Maven — becomes the only sustainable advantage.

AI StrategyAIPConAlex Karp
0 likes · 12 min read
Palantir CEO Alex Karp: Why Domain-Specific AI Infrastructure Beats Generic Models in the AI Era
DataFunTalk
DataFunTalk
Sep 12, 2026 · Industry Insights

How Ontology Makes Nuclear Scaling Computable: 16 to 11,520 Centrifuges

Centrus reveals at AIPCon 9 how an ontology-based operational model and auditable agents transform nuclear capacity expansion from 16 to 11,520 centrifuges, replacing 8-week data lags with a real-time digital thread spanning supply chain, engineering, quality, and regulation.

AI AgentsAIPConCentrifuge Scaling
0 likes · 10 min read
How Ontology Makes Nuclear Scaling Computable: 16 to 11,520 Centrifuges
DataFunSummit
DataFunSummit
Sep 5, 2026 · Industry Insights

Palantir CEO: In AI Era, Domain-Specific AI Infrastructure Is the Only Moat

Palantir CEO Alex Karp argues that AI-era competition splits enterprises into those with domain-specific AI-enhanced infrastructure and those without, warning that generic AI adoption creates no competitive advantage while specialization of proprietary knowledge builds unbeatable moats.

AI StrategyAIPConAlex Karp
0 likes · 12 min read
Palantir CEO: In AI Era, Domain-Specific AI Infrastructure Is the Only Moat