SaaStr
JUNE 13, 2025
” I saw a term sheet the other day where a leading VC firm reserved $1m of the round … for hiring a “VP of AI” Leadership teams scrambling to post job descriptions for “Head of Artificial Intelligence.” ” Recruiters cold-calling anyone with “machine learning” on their LinkedIn.
Tom Tunguz
MARCH 19, 2023
” That’s the conclusion from OpenAI’s recent paper “ GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models. ” How much might US GDP grow assuming large-language models enable US workers to do more? The BEA estimates US GDP is $26.2t.
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SaaStr
OCTOBER 23, 2024
5 Interesting Learnings: #1. Growth Has Re-Accelerated Fueled by commercial and government contracts, and by AI-related demand in both, Palantir is seeing growth re-accelerate from 2023. Palantir is closing big, big deals and its roots are in government and defense. Let’s dig in. Pretty impressive. #2.
SaaStr
MARCH 18, 2025
The Governance Opportunity Many organizations are testing AI infrastructure that lacks governance controls. Large enterprises have an immediate need for governance solutions to handle AI at scale.
Advertiser: Data Robot
In our eBook, Building Trustworthy AI with MLOps, we look at how machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale. AI operations, including compliance, security, and governance. AI ethics, including privacy, bias and fairness, and explainability.
Tom Tunguz
NOVEMBER 8, 2023
LLMs Transform the Stack : Large language models transform data in many ways. If you’re curious about the evolution of the LLM stack or the requirements to build a product with LLMs, please see Theory’s series on the topic here called From Model to Machine.
SaaStr
MAY 21, 2025
billion Highest ever quarter of US commercial total contract value (“TCV”) at $810 million, up +183% Y/Y Palantir has dramatically evolved beyond its government roots. Palantir has transformed from a government-focused data company to a commercial AI powerhouse with extremely strong financials. billion and $1.8
Advertiser: Data Robot
As machine learning models are put into production and used to make critical business decisions, the primary challenge becomes operation and management of multiple models.
Advertiser: Data Robot
The importance of governance in ensuring consistency in the modeling process. How MLOps streamlines machine learning from data to value. AI storytelling in communicating value to your organization. Trusted AI and how vital it is to your AI projects.
Advertiser: Data Robot
To prevent deployment delays and deliver resilient, accountable, and trusted AI systems, many organizations invest in MLOps to monitor and manage models while ensuring appropriate governance. Download today to find out more!
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.
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