SaaStr
JANUARY 10, 2025
At SaaStr Annual’s AI Summit , we gathered an all-star panel of product leaders who have built some of the most widely-used AI features in production today. Each leader started by sharing their unique perspective on how they approached adding AI into their SaaS products: How GitHub Built an AI Copilot to 1.8M
SaaStr
JUNE 25, 2025
AI and Cybersecurity: How Rubrik’s Co-Founder Built a $1B+ ARR Platform While Joining the AI Revolution Lessons from Arvind Nithrakashyap, Co-Founder and CTO of Rubrik, on scaling cyber resilience platforms, building multiple product curves, and implementing AI across both products and operations.
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SaaStr
JUNE 7, 2025
New spending data from Ramp reveals a possible trend: end user AI adoption may be hitting its first growth slow down. The AI adoption party might be slowing down—at least temporarily. While overall AI penetration among U.S. CFOs who initially approved AI experiments are now demanding concrete business outcomes.
SaaStr
JUNE 20, 2025
The Great Spending Showdown: AI vs SaaS in 2025/2026 — What Every B2B Leader Needs to Know We’re witnessing the most dramatic shift in enterprise tech spending since the cloud migration began 15 years ago. The numbers are staggering: AI spending is set to hit $644 billion in 2025, growing at a mind-bending 76.4% year-over-year.
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This guide illustrates how engineering leaders leverage AI to enhance the resilience and scalability of testing. You will discover how AI can automatically generate and maintain test cases, adapt to changing applications, and identify high-risk areas before problems reach production.
SaaStr
MAY 19, 2025
We’ll do deep dives on all the SaaStr + AI Summit 2025 speakers soon! No technology in history has scaled this rapidly – not even close. ” While there might be tradeoffs in deep knowledge retention, their AI-enhanced productivity is undeniable. What took 10 years with cloud may take just 1-2 years with AI.
SaaStr
JUNE 26, 2025
The AI Account Executive Is Arriving. Customer support cracked the deflection code with AI. Companies are routinely achieving 60%+ deflection rates – meaning AI handles 6 out of 10 (or more) support tickets before a human agent ever gets involved. The question isn’t whether AI will impact sales.
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. Are you ready to deliver fair, unbiased, and trustworthy AI?
Advertiser: Data Robot
Generative AI is taking the world by storm, but the questions that all CEOs, data leaders, and AI leaders are being asked are: What are we going to do about it, and what is our plan? The business and creative possibilities are practically limitless with generative AI.
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. Download the report to gain insights including: How to watch for bias in AI.
Advertiser: Data Robot
The buzz around generative AI shows no sign of abating in the foreseeable future. Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments.
Advertiser: Data Robot
Many organizations are dipping their toes into machine learning and artificial intelligence (AI). Machine Learning Operations (MLOps) allows organizations to alleviate many of the issues on the path to AI with ROI by providing a technological backbone for managing the machine learning lifecycle through automation and scalability.
Advertiser: Data Robot
As enterprises evolve their AI from pilot programs to an integral part of their tech strategy, the scope of AI expands from core data science teams to business, software development, enterprise architecture, and IT ops teams. The Forrester Wave™ evaluates Leaders, Strong Performers, Contenders, and Challengers.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. May 20th, 2025 at 12:30 PM PDT, 3:30 PM EDT, 8:30 PM BST
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.
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