PODCAST · business
AI Business with Fexingo: Artificial Intelligence Companies, Models, and Enterprise Adoption
by Fexingo
Each day, Lucas and Luna sit down with the fresh data feeds that define enterprise AI adoption — not the vaporware announcements or hype cycles, but the actual deployment numbers, model benchmarks, and procurement decisions shaping how companies buy and build with artificial intelligence. Lucas breaks down the latest earnings calls from public AI players (Nvidia, Microsoft, Palantir, CrowdStrike) while Luna cross-references the real-world adoption curves from enterprise IT surveys and government AI readiness indices. Together they name the specific models — GPT-4o, Claude 3.5, Llama 3.1, Mistral Large — and ask which ones are actually driving revenue versus generating pilot fatigue. They track the shifting price-per-token trends, the inference cost battles between cloud hyperscalers, and the regulatory moves from Brussels to Sacramento that change what 'compliance-ready AI' means for a mid-market CFO. Every episode is grounded in numbers: market cap shifts, R&D spend ratios, open-sourc
No episodes available yet.
We're indexing this podcast's transcripts for the first time — this can take a minute or two. We'll show results as soon as they're ready.
No matches for "" in this podcast's transcripts.
No topics indexed yet for this podcast.
Loading reviews...
ABOUT THIS SHOW
Each day, Lucas and Luna sit down with the fresh data feeds that define enterprise AI adoption — not the vaporware announcements or hype cycles, but the actual deployment numbers, model benchmarks, and procurement decisions shaping how companies buy and build with artificial intelligence. Lucas breaks down the latest earnings calls from public AI players (Nvidia, Microsoft, Palantir, CrowdStrike) while Luna cross-references the real-world adoption curves from enterprise IT surveys and government AI readiness indices. Together they name the specific models — GPT-4o, Claude 3.5, Llama 3.1, Mistral Large — and ask which ones are actually driving revenue versus generating pilot fatigue. They track the shifting price-per-token trends, the inference cost battles between cloud hyperscalers, and the regulatory moves from Brussels to Sacramento that change what 'compliance-ready AI' means for a mid-market CFO. Every episode is grounded in numbers: market cap shifts, R&D spend ratios, open-sourc
HOSTED BY
Fexingo
CATEGORIES
Loading similar podcasts...
URL copied to clipboard!