From Chatbots to Agents: The Autonomy Spectrum and the Plumbing Beneath It
Part 2 in the Demystifying Recent AI Advances Series In Part 1 of this series, we toured the model zoo. We covered what separates LLMs,
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AI tools hold great promise. But insurers must set a solid strategy and treat AI outputs as decision support, not decision makers. The post Word.
How to measure success in value-based care
For years, health care leaders have agreed on the promise of value-based care. Align incentives. Improve outcomes. Reduce unnecessary utilization. Create a better experience for
The marketing decisioning gap: Why ‘next-best action’ is harder than it sounds
Decisioning is now core to how marketers compete. Nine out of 10 marketers have seen increased ROI through personalization strategies and consumers are 80% more
Beyond the dashboard: how SAS Viya Copilot lets curiosity lead the analysis
The most valuable dashboards often lead to another question. Which region drove the increase in sales? How did that compare with last year? Which products
The language wars are over. It’s time to let everyone work.
Spend any time in clinical biostatistics and the debate is unavoidable: SAS or R? R or Python? And which language is best suited for regulatory
Why enterprise AI needs more than LLMs
The conversation around AI agents has moved remarkably fast. Just two years ago, organizations were experimenting with generative AI through chat interfaces and copilots. Today,
Python your way: 6 ways to run Python in SAS Viya (The SAS Extension for VS Code)
In Part 2 of The Director’s Cut of my SAS Innovate 2026 presentation on 6 ways you can run Python in SAS Viya, we’re going
AI 에이전트 혁신의 시대, 공공 리더십의 새로운 조건
AI 에이전트는 개인의 생산성 향상을 넘어 정부 운영 영역에도 그 영향력을 넓혀가고 있습니다. 가트너(Gartner)에 따르면, 2028년까지 최소 80%의 정부가 AI 에이전트를 도입하여 반복적인 의사결정을 자동화하고
What comes after the AI investment?
Organizations have spent the past several years building the foundations for AI. They’ve invested in cloud infrastructure, data platforms, copilots and, increasingly, AI agents. Now
