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Is a Bigger Booth at Events Really Worth It? The Latest SaaStr Data

SaaStr

The answer is probably Yes, if we look at the actual, hard SaaStr data from SaaStr Annual 2024: What you can see above is: As the booth gets bigger, the number, almost linearly Activations are a big deal. So if you are doing them, the data suggest lean is as much as you can. The Latest SaaStr Data appeared first on SaaStr.

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

SaaStr

Vendr’s latest data suggest overal l, net net, ACVs aren’t going up from AI. Vendr’s Data Says … Maybe Not appeared first on SaaStr. Salesforce is going big here with AgentForce at $2 per usage. Others are more cautious. Not yet at least: Where this will all go, I think it’s too early to know.

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5 Key Things You Need to Know About AI Data Privacy in 2025 (and Why It Matters) with Skyflow’s CPO

SaaStr

The Real Truth About AI Data Privacy in 2025: What Every SaaS Company Needs to Know The explosion of AI adoption has created massive new privacy risks for SaaS companies. The Dirty Secret of AI Training Data Let’s get real: Everyone’s rushing to build AI features into their SaaS products.

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85% of Business App Trials Start on Day 0. Don’t Waste Your Shot. The Latest Data from 75,000 Apps and RevenueCat

SaaStr

So they see 40% of all mobile subscriptions — and a ton of data from it. But the RevenueCat data suggests even longer may work well. But if they are using it and getting value, the RevenueCat data is a reminder to be patient here. The data across ~40% of all paid mobile subscription apps in U.S. Dont play games.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.

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OneStream: Benchmarking the S1 Data

Clouded Judgement

Our platform unifies core financial and broader operational data and processes within a single platform, with solutions that maintain the integrity of corporate reporting standards for Finance while providing operationally significant insights for business users.

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The PostModern Data Stack

Tom Tunguz

If the Modern Data Stack is dead, what replaces it? The Postmodern Data Stack. This idea is taking hold in data. Two juggernauts, Snowflake & Databricks, are challenging the dominance of Google, Microsoft, & Amazon at the biggest scales of data. We will discuss the Postmodern Data Stack at TC Disrupt in October.

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use. . 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI prototypes into impactful products!

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. When developing a Gen AI application, one of the most significant challenges is improving accuracy. The number of use cases/corner cases that the system is expected to handle essentially explodes.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Greg Loughnane and Chris Alexiuk in this exciting webinar to learn all about: How to design and implement production-ready systems with guardrails, active monitoring of key evaluation metrics beyond latency and token count, managing prompts, and understanding the process for continuous improvement Best practices for setting up the proper mix of open- (..)

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Contact vs. Company Intent Signal Data

Contact and company intent data both have their advantages. This infographic unpacks the advantages of both contact and company data and gives details about how B2B marketers can benefit from both. This infographic unpacks the advantages of both contact and company data and gives details about how B2B marketers can benefit from both.

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4 Approaches to Data Analytics

The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data.

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Activating Intent Data for Sales and Marketing

Sales and marketing leaders have reached a tipping point when it comes to using intent data — and they’re not looking back. More than half of all B2B marketers are already using intent data to increase sales, and Gartner predicts this figure will grow to 70 percent. Intent data can be overwhelming if you don’t know how to use it.

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ABCs of Data Normalization for B2B Marketers

Data normalization. However, if lead generation, reporting, and measuring ROI is important to your marketing team, then data normalization matters - a lot. At its core, data normalization is the process of creating context within your marketing database by grouping similar values into one common value. Why is this so essential?

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Mastering Intent Data: Understanding its Importance & Best Practices

Speaker: Joe Apfelbaum, CEO of Ajax Union

In this webinar, Joe Apfelbaum, CEO of Ajax Union and business strategist, will take you through the ABCs of intent data. You'll learn how to effectively use it to drive business results, with practical tips on how to leverage both company and contact intent data to maximize your marketing efforts.