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NVIDIA Hits $4 Trillion: What Founders Can Learn from the Greatest Growth Story Ever Told

SaaStr

Every major tech company now depends on NVIDIA: OpenAI training GPT models Google powering Bard and Search AI Microsoft Azure AI services Meta’s LLaMA development Tesla’s self-driving technology The B2B Parallel : AWS becoming the infrastructure layer for the internet, or Salesforce becoming the system of record for sales teams globally.

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Payment and Checkout Scalability for D2C Gaming Partners

FastSpring

FastSpring continuously monitors transaction flow via machine learning models that are under the oversight of an enterprise-grade team of infrastructure and payments experts. Moreover, we have an enterprise-grade engineering team that has built and maintains a scalable and resilient cloud-native stack using AWS.

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Beyond Buzzwords: Real-World AI Applications for Business Leaders

How To Buy Saas

For example, machine learning models can forecast sales, optimize pricing, and evaluate investment scenarios in real time. Key benefits of AI-driven decision support include: Predictive Insights: Machine learning forecasts customer demand and market shifts by analyzing historical and real-time data.

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Global AI Race: Top 7 Countries Leading Full-Stack AI in 2025

How To Buy Saas

This fuels a robust ecosystem of AI chips (Nvidia, AMD), cloud AI services (AWS Sagemaker, Azure AI, Google Cloud AI), and SaaS integration (Salesforce Einstein, Microsoft 365 Copilot, Adobe Firefly). AWS Trainium2 & Ultracluster supercomputer details unveiled; embeds 64 Trainium chips, used by Anthropic + Apple trials.

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Cloud Data Lakes - The Future of Large Scale Data Analysis

Tom Tunguz

This modern architecture for data analysis, operational metrics, and machine learning enables companies to process data in new ways. The conference features talks from practitioners and open-source leaders from the ecosystem from Netflix, Microsoft, Expedia, AWS, and Preset.

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Top 10 Trends for Data in 2024

Tom Tunguz

Whether it’s data being used inside applications, feeding machine learning models, or downstream analysis, companies are increasingly reliant on this data, and that’s not changing. 80% of data is unstructured within organizations.

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Cloud Data Lakes - The Keystone to the Decade of Data

Tom Tunguz

Mai-Lan Tomsen Bukovec, Global Vice President for AWS Storage will deliver one of the keynotes. Cloud data lakes are a key technology enabling the innovation in analytics and machine learning. This time, the conference will build on the foundation from last year’s event. Data engines query the data rapidly, inexpensively.