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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 305
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Snowflake Buys Crunchy Data for $250m, Databricks Buys Neon for $1B. The New AI Database Battle.

SaaStr

Billion PostgreSQL Battle for AI Agent Supremacy Brief Overview : Two data giants are making strategic moves to dominate the AI agent infrastructure market through major PostgreSQL acquisitions. With this news, we will be introducing Snowflake Postgres: enterprise-grade, AI-ready, and fully managed.

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52% of You Are Buying More Software Next Year. The Latest Data on How AI Impacts the SaaS Buyer Landscape with G2’s CMO

SaaStr

Software buying behavior has changed, and today we’ll share how you can leverage these changes to win in the age of AI. The three key areas to pay attention to: The promise of AI is dictating purchasing behavior. The promise of AI. Understanding buyer behavior isn’t just an advantage—it’s a necessity.

AI 268
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Will Buyers Ultimately Pay More for AI? Vendr’s Data Says … Maybe Not

SaaStr

So will buyers really pay more for AI? On the one hand, many players in the support space have clearly been able to charge incrementally for AI-based issue resolution, from Intercom to Zendesk to Gorgias and more. HubSpot and Procore are taking their time in deciding how much if anything to charge extra for AI.

AI 197
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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

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Clouded Judgement - 3.28.25 - The New AI Risk Curve

Clouded Judgement

Data from Stripe (below) shows the speed at which AI native companies are growing compared to SaaS companies. If you wanted to scale users and growth, you needed to scale a physical data infrastructure footprint. Now let’s talk about the AI wave. The explosion of AI GTM solutions is dizzying.

Cloud 302
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5 Things That Are Actually Working and 5 Things That Aren’t in B2B SaaS AI with Ironclad’s CEO and a16z

SaaStr

Ironclad CEO and co-founder Jason Boehmig joined Seema Amble, Partner at Andreessen Horowitz at SaaStr Annual to share their observations on what’s currently working and what’s not quite there yet for Artificial Intelligence (AI) in SaaS. What’s Currently Working in AI for SaaS 1.

AI Search 278
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Humility in AI: Building Trustworthy and Ethical AI Systems

AI is becoming ubiquitous. The number of critical touch points is growing exponentially with the adoption of AI. But with the incredible pace of the modern world, AI systems continually face new data patterns, which make it challenging to return reliable predictions. Brought to you by Data Robot.

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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.

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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?

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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.

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The Executive Guide to Generative AI

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.

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The AI Superhero Approach to Product Management

Speaker: Conrado Morlan

Using the lens of a superhero narrative, he’ll uncover how AI can be the ultimate sidekick, aiding in data management and reporting, enhancing productivity, and boosting innovation. Tools and AI Gadgets 🤖 Overview of essential AI tools and practical implementation tips.

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How to Leverage AI for Actionable Insights in BI, Data, and Analytics

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities? Infusing advanced AI features into reports and analytics can set you apart from the competition.

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10 Keys to AI Success in 2021

Capitalizing on the incredible potential of AI means having a coherent AI strategy that you can operationalize within your existing processes. Download this eBook to learn about: Achieving ROI with AI and delivering valuable results with urgency. AI storytelling in communicating value to your organization.