Remove compliance Remove Data Remove Machine Learning
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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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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. Second, they change the way that we manipulate data.

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Payment and Checkout Scalability for D2C Gaming Partners

FastSpring

Spend less time managing your payments and compliance and more time making great games: FastSpring is a payments partner you can trust for your players and which you can use to sell games or in-game items on your website, web shop, or embedded directly into your game with fully customizable and branded checkouts.

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Which AI Model Should You Pick for Your Startup?

Tom Tunguz

This is my current mental model of when to choose a large or small model : When to choose a large model : time to ship is critical : many of these models are available via API, requiring formatted data as an index or vector database - which an engineer can achieve within a few hours for a working beta.

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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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The Impact of Generative AI on Software With Theory Ventures Founder & General Partner Tomasz Tunguz (Pod 650 + Video)

SaaStr

Why AI Matters to VCs Over the last decade, each type of machine learning has developed and grown, with generative AI becoming the most recent. Goldman Sachs predicts that the contribution of machine learning to GDP would fall somewhere between 1.5 – 2.9%. SaaStr Workshop Wednesdays are LIVE every Wednesday.

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Predictions for 2019

Tom Tunguz

Data engineering is the new Customer Success. Data engineering, the discipline of moving data well, will have a breakout moment, complete with conferences, thought leaders and a company that becomes the symbol of the category. Machine learning fades as a buzzword. 2018 Predictions. SaaS fundraising remained strong.