Why Owning Your AI Matters: Inside Inflection AI with Ted Shelton скачать в хорошем качестве

Why Owning Your AI Matters: Inside Inflection AI with Ted Shelton

In this interview, John Russo sits down with Ted Shelton, COO of Inflection AI, to explore what it really means for enterprises to "own their AI." They talk about Inflection’s pivot from consumer to enterprise, how safety and customization are foundational to their approach, and why companies need to prepare for a multi-model, agentic future. If you're navigating AI integration at scale, this one’s packed with lessons. 🔥 Key Highlights: – Why Inflection AI moved from consumer-facing Pi to enterprise solutions – How they separate safety and trust into dedicated models for compliance – What “sovereign AI” really means for businesses (not just governments) – The importance of customizing models by region, industry, and use case – Managing cost, control, latency, and quality in a multi-model setup – A real story of a runaway 3-billion-token usage—and how they caught it – Why 2025 could be the breakout year for enterprise-ready agentic AI 🔗 Helpful Resources: – Inflection AI: https://inflection.ai 🎙️ Expo Roundtable – Powered by Nscale: https://www.nscale.com/ – Produced by Data Phoenix: https://dataphoenix.info 🤖 AI INFRA SUMMIT 4 📍San Francisco, October 29 🎟️ Register now (35% Discount: DATAPHOENIX35): https://lu.ma/aiinfra_4?coupon=DATAPH... ⏱️ Timestamps/Chapters 00:00 – Intro & background on Inflection AI 01:16 – Trust and safety: Inflection’s model separation 02:33 – What is sovereign AI and why it matters 04:07 – Owning vs. renting AI: cost, latency, and control 06:45 – Quality as context-specific, not always “best” 07:13 – Right model for the task: cost-effective reasoning 07:54 – What’s next: secure agentic AI for the enterprise 09:15 – Wrap-up and closing thoughts 👉 If you enjoyed the discussion, be sure to like the video, share your favorite insights in the comments, and subscribe to stay updated on our latest talks and demos! 🔗 Follow us for more: – LinkedIn (Dmytro):   / spodarets   – LinkedIn (Data Phoenix):   / data-phoenix   – YouTube (Events):    / dataphoenixevents   – YouTube (Dmytro):    / @dmytrospodarets   – Twitter/X: https://x.com/Data_Phoenix – Telegram: https://t.me/DataPhoenix – Facebook:   / dataphoenix.info   – Website: https://dataphoenix.info/