George Gilbert
Principal Analyst, Data & AI · SiliconANGLE & theCUBE
Position Evolution
3 tracked across this operator's appearancesSame operator, on the record, on the same topic, at different points in time. Each delta below is anchored to verbatim transcript spans verified against source — no paraphrases. This is the alumni-graph moat: SemiAnalysis cannot reproduce this query because they don't have the speaker-stable corpus.
Agents require deterministic API layer, not raw schemas
Hardenedconfidence 85%Gilbert's earliest appearance frames the need for scaffolding around agents in general terms, noting the gap between probabilistic models and deterministic enterprise software. By the latest appearance he makes the same point with a concrete, confrontational example — directly rebutting Satya Nadella's claim that agents can talk straight to database schemas — and extends the timeline to 'sometime this decade.' The position has become more specific, more confident, and more publicly staked.
"But when it's an agent and there's a learning loop in there, their prices are much more stable. And so that gets back to what we're going to talk about, which is the scaffolding around it to build that agent."
Source on theCUBE ↗"if you try a non-deterministic agent reading and writing to 6, 000 tables without some deterministic layer in between, I'm like, even if you go to talk to Silvio Savarese, your chief scientist, and say, "Will I be able to do that sometime this decade? " I don't think the answer is yes. And the reason I bring this up is even Power BI needs a semantic layer for read-only access to a single DBMS."
Source on theCUBE ↗System of intelligence as enterprise foundation
Hardenedconfidence 82%In the earliest appearance Gilbert asserts that agents cannot be effective without a system of intelligence beneath them. By the latest appearance he has sharpened this into an explicit value-capture argument: the 4D data map is the highest-value real estate in enterprise software, worth more than the agents themselves. The conviction has grown from a structural prerequisite into a competitive investment thesis.
"The key point here is the systems of agency. All the agents are not going to be really effective unless they sit on top of that system."
Source on theCUBE ↗"the agents are cooperating with each other. And the reason I bring this up is this is the seat of value you have, I think the last we heard 300, 300 agent that are worth half a billion or more and there's like one Data Cloud that has a 4D map of the enterprise, of the customer, part of the enterprise. You do the math and figure out who's more valuable."
Source on theCUBE ↗Enterprise data silos blocking end-to-end intelligence
Shiftedconfidence 78%In the earliest appearance Gilbert frames the silo problem as an almost insurmountable legacy burden — a thousand dead whales — with no clear solution in sight. In the latest appearance the same structural problem is reframed as the setup for a positive value-creation story: vendors who build the 4D map across silos capture the most valuable real estate. The diagnosis is the same but the emphasis has moved from obstacle to opportunity.
"This is kicking a thousand dead whales down the beach because it's 60 years of investment in silos that we now have to somehow harmonize and no one really has a great solution for that."
Source on theCUBE ↗"we're transitioning from applications based on symbolic code that tracked siloed, that siloed sort of historical 2D snapshots of business entities, customers orders, things like that. That's the trap data you were talking about. Now the idea is we want or agents need to be able to see, analyze, decide, and act across these silos."
Source on theCUBE ↗All theCUBE appearances (25)
Dreamforce 2024 | Dreamforce Analysis
GUEST · SiliconANGLE & theCUBE · Principal Analyst, Data & AI
Celosphere 2024 | Analyst Conversation Day 2
GUEST
Celosphere 2024 | Carsten Thoma, Celonis
GUEST
Snowflake Summit 2025
GUEST · SiliconANGLE & theCUBE · Principal Analyst, Data & AI
Snowflake Summit 2025 | Christian Kleinerman, Snowflake
GUEST
Snowflake Summit 2025 | Baris Gultekin, Snowflake & Liam Hynes, S&P Global
GUEST
Snowflake Summit 2025 | Russell Spitzer, Snowflake & Ankit Singh, Affirm
GUEST
Snowflake Summit 2025 | Amit Sangani, Meta & Dwarak Rajagopal, Snowflake
GUEST
Snowflake Summit 2025 | Keynote Analysis
GUEST · SiliconANGLE & theCUBE · Principal Analyst, Data & AI
Data + AI Summit 2025 | Keynote Analysis
HOST · SiliconANGLE & theCUBE · Principal Analyst, Data & AI
Dreamforce 2025 | Editorial: Crawford del Prete, IDC & Sarbjeet Johal, Stackpane
GUEST
Dreamforce 2025 | Editorial: Day 1 Keynote Analysis
GUEST · SiliconANGLE & theCUBE · Principal Analyst, Data & AI
Dreamforce 2025 | Rahul Auradkar, Salesforce
GUEST
Dreamforce 2025 | Jayesh Govindarajan & Christophe Coenraets, Salesforce
GUEST
Dreamforce 2025 | Greg Shewmaker, r.Potential & Denis Machuel, The Adecco Group
GUEST
Dreamforce 2025 | James Watson, Smartsheet
GUEST
Dreamforce 2025 | Carrie McWilliams, Deloitte Consulting LLP
GUEST
Dreamforce 2025 | Stephanie Sadowski, Accenture
GUEST
Dreamforce 2025 | Dave Dohnalik & Johannes Evenblij Garza, PepsiCo
GUEST
Dreamforce 2025 | Paul Tatum, Salesforce
GUEST
Dreamforce 2025 | Nancy Xu, Salesforce
GUEST
Dreamforce 2025 | Ariel Kelman, Salesforce
GUEST
AI Agent Builder Summit | Marc Benioff, Salesforce | Road to Service-as-Software
GUEST · SiliconANGLE & theCUBE · Principal Analyst, Data & AI
AI Agent Builder Summit, Encore Presentation | Marc Benioff, Salesforce | Road to Service-as-Software
GUEST · SiliconANGLE & theCUBE · Principal Analyst, Data & AI
AWS re:Invent 2025 | Breaking Analysis | Worker Bee AGI - Why AWS Is Betting on Practical Agents, Not Messiah AGI
GUEST · SiliconANGLE & theCUBE · Principal Analyst, Data & AI