Remove Artificial Intelligence Remove compliance Remove Sales
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Top 10 Trends for Data in 2024

Tom Tunguz

LLMs Transform the Stack : Large language models transform data in many ways. If you’re curious about the evolution of the LLM stack or the requirements to build a product with LLMs, please see Theory’s series on the topic here called From Model to Machine.

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Clouded Judgement 1.24.25 - The Year of Enterprise AI

Clouded Judgement

In AI terminology, “generalizing” refers to a model’s ability to apply learned knowledge to new tasks or unseen data. However the pace of innovation in large language models is extraordinary. Early research, including projects like R1 from DeepSeek, has shown promising results in this area.

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

SaaStr

Some of the biggest use cases for AI in the enterprise are across customer support, sales and marketing, and engineering — ie helping developers test code and troubleshoot issues. Compliance matters. Arvind Jain, CEO of Glean explained: “ The first thing is just working on all security aspects and compliance.

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RAG Explained: What Is Retrieval-Augmented Generation?

How To Buy Saas

Retrieval-Augmented Generation (RAG) is a cutting-edge approach in AI that combines large language models (LLMs) with real-time information retrieval to produce more accurate and context-aware outputs. Think of a standard LLM as a very smart student who has learned a lot of general information.

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How Generative AI Will Turn Traditional SaaS Models On Their Head with AWS VP of Generative Builders Adam Seligman

SaaStr

Adam came up with the wildest idea he could think of for an app and used Anthropc, a large language model company, to help develop the idea. Could you write down the core features, data model, and primary functionality the app should have? Foundation models will do that. It’s the same as the coding stuff.

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Clouded Judgement 2.7.25 - "Group + Triage" AI Systems

Clouded Judgement

These seem like perfect fits for LLM based applicatiosn. Signal can come from many places (sales team notes, customer support tickets, etc) IT Incident Management: Similar to the security alert example. Perfect for a LLM! There are so many of these workflows out there today, and many of them are quite manual. The list goes on.

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Thanks to Calendly, Drift, Reprise, Secureframe, and Shift Paradigm for Sponsoring SaaStr Annual 2022!

SaaStr

Drift brings Conversational Marketing, Conversational Sales and Conversational Service into a single platform that integrates chat, email and video and powers personalized experiences with artificial intelligence (AI) at all stages of the customer journey. appeared first on SaaStr.