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How to Navigate the Shift to Generative AI with PagerDuty’s CEO Jennifer Tejada

SaaStr

As the kickoff to our first fully digital SaaStr AI Day, Jennifer Tejada , the CEO of PagerDuty, chatted with Jason Lemkin, SaaStr CEO and Founder, about navigating the shift to Generative AI and what Artificial Intelligence in SaaS might look like in the next 6 months, as well as years to come. How to Buck Up and Go Long in SaaS?

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How Enterprise Companies are Buying AI (or Not) with ContextualAI, Anthropic, Glean, and Unusual Ventures

SaaStr

At Saastr Annual, we hosted an Enterprise panel of AI leaders to share their experience and knowledge to help others understand how big companies think about and leverage AI. While the first generation of Generative AI is great, it’s not quite ready to solve Enterprise problems. Enterprises are looking for two big themes.

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The Where, When, and How of AI with Theory Ventures, Open AI, MotherDuck and Lamini

SaaStr

Hear the latest insights on AI from leading investor and SaaStr fan-fave, Tomasz Tunguz of Theory Ventures. LLMs are transforming the way people use software, and these AI and data-driven companies share first-hand how they’re seeing this change take place. AI expertise might take a couple hundred top AI researchers to train them.

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Thanks to 6Sense, Boston Consulting Group, Capacity, Constant Contact, and Pacific Western Bank for Sponsoring SaaStr Annual 2022!

SaaStr

6sense Revenue AI captures anonymous buying signals, targets the right accounts at the ideal time, and recommends the channels and messages to boost revenue performance. We are not like other banks. At Pacific Western Bank , relationship banking is not the exception, but the rule. appeared first on SaaStr.

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How Banks Are Winning with AI and Automated Machine Learning

Banks have always relied on predictions to make their decisions. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. In this white paper, we cover: The landscape of common AI use cases -- across every line of business and function in a bank.

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Pricing and Packaging Your B2B or Prosumer Generative AI Feature

Andreessen Horowitz

But the stakes are much higher with generative AI: though it promises to deliver unprecedented value to businesses, it can also be very expensive to serve to each incremental customer. Or maybe you’re still determining how generative AI will benefit your customers, and right now it’s a nice-to-have for certain users.

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How Buffer’s Content Team Uses AI

Buffer Resources

There’s been much ado about AI lately, especially since ChatGPT was released to the public in November 2022. Since then, we’ve seen an influx of thoughts and tools around the topic and the use of AI. Spending time with the different tools powered by AI has allowed us to define our boundaries better.

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Data Science Fails: Building AI You Can Trust

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.

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How Banks Are Winning with AI and Automated Machine Learning

Banks have always relied on predictions to make their decisions. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. In this white paper, we cover: The landscape of common AI use cases -- across every line of business and function in a bank.