Setting up an AI-native organization

https://aweb.ai/blog/ai-first-company-howto

#HackerNews #AIorganization #AIstrategy #DigitalTransformation #Innovation #Leadership

https://winbuzzer.com/2026/05/14/anthropic-overtakes-openai-in-ramps-business-ai-index-xcxwbn/

Anthropic has moved ahead of OpenAI in Ramp's April 2026 paid business-adoption index for the first time

#AI #Anthropic #OpenAI #EnterpriseAI #Claude #ChatGPT #AICoding #AIAgents #AgenticAI #EnterpriseAI #AIStrategy

https://winbuzzer.com/2026/05/11/openai-launches-deployment-company-tomoro-acquisition-xcxwbn/

OpenAI has launched the OpenAI Deployment Company, a majority-owned arm embedding AI engineers inside customer organizations alongside a Tomoro acquisition.

#AI #OpenAI #OpenAIDeploymentCompany #EnterpriseAI #AIStrategy #AIIntegration #ChatGPT #TomoroAI

What if smaller AI models actually outperform the giants?

Here's the counterintuitive truth about model selection that's saving companies 60% on AI costs.

What's your experience with model selection? I'm genuinely curious.

#AI #LLM #MachineLearning #CostOptimization #AIStrategy #dougortiz

https://winbuzzer.com/2026/05/06/greg-brockman-testifies-that-his-openai-stake-is-n-xcxwbn/

Elon Musk's OpenAI Trial Puts Greg Brockman's $30B Stake in Focus

#AI #OpenAI #GregBrockman #ElonMusk #SamAltman #AIEthics #AIgovernance #AIStrategy #ChatGPT

https://winbuzzer.com/2026/05/05/20260504-anthropic-and-openai-are-both-launching-joint-vent-xcxwbn/

Anthropic, OpenAI Launch Enterprise AI Service Ventures

#AI #Anthropic #OpenAI #Claude #EnterpriseAI #ChatGPT #AIServices #AIIntegration #AISolutions #AIStrategy

Start with problems, not AI.

Right question: "What pain points could AI help?"
Wrong question: "How can we use AI?"

Map: Problem → AI type → Autonomy level → Data readiness

Prioritize: High pain + high feasibility = pilot now.

#AI #AIStrategy #EnterpriseAI #dougortiz

What if choosing the wrong AI approach costs you 3x more than necessary?

Wrong RAG vs fine-tuning decisions waste millions. It's a strategic business decision impacting cost and time-to-value.

Framework: Dynamic data = RAG (60% faster updates), specialized tasks = fine-tuning (40% better accuracy). RAG costs 70% less, deploys 3x faster.

What's your RAG vs fine-tuning strategy?

#RAG #FineTuning #AIStrategy #MachineLearning #dougortiz

🔗 https://www.linkedin.com/in/doug-ortiz-architect/