AI is moving fast. And most enterprises are not ready for what comes next.
As organizations rush to deploy AI, the real constraint is no longer algorithms or compute. It is whether they have the right data, architecture, and operating model to turn intelligence into outcomes.
IDC Research Director Rob Tiffany joins the podcast to explain why private IoT data is becoming the foundation of enterprise AI:
Tune in to hear how IoT data unlocks enterprise intelligence and reshapes the future of AI.
Key Topics and Chapters
(01:25) —IoT and AI Leaders Podcast rebrand
(03:48) — Rob Tiffany introduction
(04:16) — Navy submarines and special operations experience
(06:38) — IDC analyst role covering cloud
(08:03) — First IoT exposure via submarine sensors
(08:54) — Early IoT vending machines in 1994
(09:32) — Microsoft era and smartphone revolution
(10:21) — Building Azure Cloud and Azure IoT
(10:27) — Industrial digital twins at Hitachi
(12:32) — Why AI concentrates in hyperscale clouds
(13:48) — ChatGPT’s unexpected industry impact
(14:14) — Elon Musk rapidly launches xAI
(16:25) — Edge computing promise remains unmet
(17:32) — Enterprise brain concept explained
(19:04) — Most IoT happens indoors
(21:18) — AGVs reveal need for indoor cellular
(23:39) — Rise of enterprise hybrid AI data centers
(24:27) — Samsung data leak into ChatGPT
(25:22) — Growing interest in private enterprise AI
(27:14) — Fine-tuning AI with company data
(28:27) — Building the enterprise brain
(29:23) — Hybrid AI and competitive advantage recap
(35:28) — Enterprises downloading pretrained LLMs
(37:14) — Jensen Huang’s AI factory vision
(38:08) — Small language models for domains
(41:39) — ServiceNow and agent-driven automation
(44:27) — Will agents replace applications?
(47:12) — Graduate unemployment and future of work
(53:58) — AI disruption moves exponentially
(57:51) — AI gives IoT professionals new relevance
(58:16) — IoT data powers AI vector databases
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