SaaStr
JUNE 20, 2025
Palantir: The One Public B2B Leader Really Getting It Right in AI While most traditional SaaS companies struggle with the AI transition, one public company stands out as a masterclass in AI-native transformation: Palantir Technologies. The numbers tell the story: Q1 2025 : 39% revenue growth year-over-year, with U.S. Palantir was ready.
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.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
SaaStr
JANUARY 28, 2025
Cutting Through the Noise: Three Gen AI Pioneers Reshaping Enterprise Technology In a pivotal moment for generative AI, Vanessa Larco, partner at NEA, brought together three visionary CEOs convened at SaaStr Annual to share insights that are redefining the technological landscape.
SaaStr
JULY 7, 2025
Palantir Technologies (PLTR): +78.69% YTD 👑 Hit all-time high of $148.22 👑 Larry’s Long-Term Vision : CEO Larry Ellison’s early AI investments and partnerships (particularly around autonomous database technology) positioned Oracle perfectly for the AI infrastructure boom.
Advertiser: Data Robot
Many organizations are dipping their toes into machine learning and artificial intelligence (AI). Download this comprehensive guide to learn: What is MLOps? How can MLOps tools deliver trusted, scalable, and secure infrastructure for machine learning projects? Why do AI-driven organizations need it?
SaaStr
JUNE 25, 2025
But perhaps more impressive than these numbers is how Co-Founder and CTO Arvind Nithrakashyap has positioned the company at the intersection of two of enterprise software’s most critical trends: cybersecurity and artificial intelligence. And more on Rubrik here: 5 Interesting Learnings from Rubrik at $1.1
SaaStr
FEBRUARY 2, 2025
This change is driven by advances in AI technology and changing customer expectations. They’ve seen particular success in using Large Language Models (LLMs) to translate API documentation into practical implementations.
Advertiser: Data Robot
And more is being asked of data scientists as companies look to implement artificial intelligence (AI) and machine learning technologies into key operations. Fostering collaboration between DevOps and machine learning operations (MLOps) teams. Collecting and accessing data from outside sources.
Advertiser: Data Robot
The risk of bias in artificial intelligence (AI) has been the source of much concern and debate. Numerous high-profile examples demonstrate the reality that AI is not a default “neutral” technology and can come to reflect or exacerbate bias encoded in human data.
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.
Advertiser: Data Robot
The game-changing potential of artificial intelligence (AI) and machine learning is well-documented. Any organization that is considering adopting AI at their organization must first be willing to trust in AI technology.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation metrics for at-scale production guardrails.
Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace
Join our exclusive webinar with top industry visionaries, where we'll explore the latest innovations in Artificial Intelligence and the incredible potential of LLMs. We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology.
Speaker: Dr. Greg Loughnane and Chris Alexiuk
Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.
Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage
Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence.
Expert insights. Personalized for you.
289 
Let's personalize your content