Remove Artificial Intelligence Remove compliance Remove Data
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Mastering Growth in the AI Era: How to Stand Out, Acquire Customers, and Raise VC Dollars with B Capital, Zetta, and Glasswing

SaaStr

Joselyn Goldfein , Managing Director at Zeta Venture Partners, which invests in AI and data infrastructure-focused startups from inception through seed stage And see everyone at 2025 SaaStr Annual, May 13-15 in SF Bay!! What VCs Are Funding in AI Today The AI funding landscape has evolved rapidly in 2023-2024.

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Top 10 Trends for Data in 2024

Tom Tunguz

At the IMPACT Summit yesterday, I shared our Top 10 Trends for Data in 2024. LLMs Transform the Stack : Large language models transform data in many ways. First, they have driven an increased demand for data and are causing a complete architecture inside companies. The same thing is happening in data.

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Meet the Rockstars of Risk: Essential insights for software companies navigating payments, compliance, and security

Payrix

At Payrix from Worldpay, we have an internal team of risk management experts dedicated to helping software companies, like yours, manage payment processing, fraud prevention, and compliance. Mike’s key takeaway: Data modeling has become a cornerstone of effective risk management. Explore risk and compliance advice for platforms.

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Clouded Judgement 1.24.25 - The Year of Enterprise AI

Clouded Judgement

While cutting-edge language models have demonstrated remarkable capabilities, most are primarily trained on open internet data. In AI terminology, “generalizing” refers to a model’s ability to apply learned knowledge to new tasks or unseen data.

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Build Trustworthy AI With MLOps

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. AI operations, including compliance, security, and governance. AI ethics, including privacy, bias and fairness, and explainability.

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Which AI Model Should You Pick for Your Startup?

Tom Tunguz

A product manager today faces a key architectural question with AI : to use a small language model or a large language model? the company would prefer to rely on external experts to drive innovation within the models. the company would prefer to rely on external experts to drive innovation within the models.

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

SaaStr

Benjamin Mann, co-founder of Anthropic added: “ For example, one large bank that we were talking to came to us and said, ‘we’ve talked to everybody in our company, and we have 500 different use cases that we want to apply large language models to.’ Compliance matters. Security matters.

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