article thumbnail

83% Percent of You Haven’t Gotten AI SDRs to Work … Yet

SaaStr

So clearly AI is rapidly changing the way we do sales, but how will it all shake out? Over in the contact center and post-sales space, we can already see 20%+ of customer support execs been routinely replaced by AI. But is it working yet, these AI SDRs? 83% of you haven’t gotten anything from AI SDRs.

AI 326
article thumbnail

Adding AI to SaaS: Inside the AI Product Strategies of Figma, Cloudflare, GitHub and Ramp

SaaStr

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

AI Search 312
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

AI and Cybersecurity: How Rubrik’s Co-Founder Built a $1B+ ARR Platform While Joining the AI Revolution

SaaStr

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.

article thumbnail

AI Apps The SaaStr Team Loves — and Uses Every Day

SaaStr

These are the AI tools that help our tiny SaaStr team just hum. 50% of SaaStr already runs on AI. "No one will create content without AI going forward" with @thesamparr + @ShaanVP with me on New!! ✨ Lemkin (@jasonlk) June 4, 2025 The AI revolution isn’t coming. Enter Recall AI. It’s here.

AI 250
article thumbnail

A Strategic Roadmap for AI Integration in Software Testing

Implementing AI in software testing can accelerate release cycles, boost efficiency, and enhance software quality—but only with a clear strategy. Discover how to automate up to 70% of testing tasks, enhance defect detection, and integrate AI into your CI/CD workflows without disrupting your SDLC.

article thumbnail

The Top 3 Reasons AI Sales Tools “Don’t Work” (Spoiler: They Actually Do)

SaaStr

Rolling out our AI SDR this morning. ✨ Lemkin (@jasonlk) June 16, 2025 The Top 3 Reasons AI Sales Tools “Don’t Work” (Spoiler: They Actually Do, If You Use The Tools Properly) I get this question at least 3x a week: “Jason, we tried AI sales tools and they just don’t work. What are we doing wrong?”

Scale 272
article thumbnail

The $939B Question: Is AI Eating SaaS or Feeding It?

SaaStr

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.

AI Search 289
article thumbnail

Is Your Test Automation Keeping Up With Your Codebase?

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.

article thumbnail

What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

Speaker: Tamara Fingerlin, Developer Advocate

As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. With the 3.0

article thumbnail

AI in Manufacturing

In our AI in Manufacturing eBook, you can learn how to solve your most urgent manufacturing and business needs with an enterprise AI platform. Get this eBook to learn about: Achieving ROI with AI and delivering valuable results with urgency. How AI modernizes demand forecasting, supply chain, and predictive maintenance.

article thumbnail

Democratizing AI for All: Transforming Your Operating Model to Support AI Adoption

Democratization puts AI into the hands of non-data scientists and makes artificial intelligence accessible to every area of an organization. But in order to reap the rewards that AI offers, it is essential that businesses first address how their organizations are set up, from their people to their processes. Building trust in AI.

article thumbnail

Value-Driven AI: Applying Lessons Learned from Predictive AI to Generative

Speaker: Data Robot

Enterprise AI maturity has evolved dramatically over the past 5 years. Most enterprises have now experienced their first successes with predictive AI, but the pace and scale of impact have too often been underwhelming. Now generative AI has emerged and captivated the minds and imaginations of leaders and innovators everywhere.

article thumbnail

Trusted AI 102: A Guide to Building Fair and Unbiased AI Systems

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?

article thumbnail

How to Choose an AI Vendor

You know you want to invest in artificial intelligence (AI) and machine learning to take full advantage of the wealth of available data at your fingertips. But rapid change, vendor churn, hype and jargon make it increasingly difficult to choose an AI vendor. The five key things to consider when looking for an AI vendor.

article thumbnail

Build Trustworthy AI With MLOps

For businesses that are AI-driven, this trust hinges on the confidence that their AI solution can help them make their most critical decisions. 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.