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4 Key Takeaways from the AI Panel at Saastr 2023

Tom Tunguz

Last week at Saastr 2023, I had the privilege of hosting a panel with Maggie Hott , GTM leader at OpenAI, Sharon Zhou , cofounder & CEO of Lamini, & Jordan Tigani , founder & CEO of MotherDuck talking about the implications of AI for the software industry broadly. Second, education represents a huge opportunity for AI.

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How Is AI Going To Impact The SaaS Landscape Over The Coming Years with a16z GP Kristina Shen

SaaStr

How is AI going to impact the software and SaaS landscape of the next couple of years and also the next 5-10 years? Kristina Shen, General Partner at a16z, shares some insights into the present and future of generative AI at this week’s Workshop Wednesday, held every Wednesday at 10 a.m. For B2B Generative AI Apps, Is Less More?

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Does an AI Premium Exist in the Fundraising Market?

Tom Tunguz

If a company adds AI to their pitch or nabs a.ai I plotted the 75th percentile valuation of all US software companies by stage compared to AI companies over the last twelve years. Series B AI prices surged twice in the last 12 years, driven by a handful of outliers, but otherwise, they also move in lockstep.

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Usage as the Moat in AI

Tom Tunguz

As generative AI captivates Startupland, startups will do what they have always done: integrate new technology to build transformative businesses. Incumbents have seized the moment with Microsoft, Adobe, & others integrating generative AI into their products quickest. What are these moats? More users means a better product.

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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.

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Improving AI

Andreessen Horowitz

This conversation is part of our AI Revolution series, which features some of the most impactful builders in the field of AI discussing and debating where we are, where we’re going, and the big open questions in AI. Find more content from our AI Revolution series on www.a16z.com/AIRevolution.

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How Much More Efficient Should a SaaS Startup Be When Using AI?

Tom Tunguz

If we assume some basic productivity gains in a typical SaaS company from AI in the next 12-24 months, how much more profitable will the business be? AI’s contribution to engineering productivity is 5x+ greater than other teams because of the scale of the gain & the company’s team composition.

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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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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.

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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. Building trust in AI.

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10 Keys to AI Success in 2023

An organization’s path to AI success can be full of obstacles, from a proper assessment of its own AI maturity, to a better alignment between business and technical teams, many factors can influence the outcomes. While AI progress is hard, companies don’t have to get stuck in an endless loop of inertia on their path to value-driven AI.

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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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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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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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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.