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Source channel @githubtrending · Post #15123 · Sep 6

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#rust#artificial_intelligence#big_data#data_engineering#distributed_computing#machine_learning#multimodal#python#rust Daft is a powerful, easy-to-use data engine that lets you process large-scale data using Python or SQL with high speed and efficiency. It supports complex data types like images and tensors, works well interactively for quick data exploration, and can scale to huge cloud clusters using Ray. Daft integrates smoothly with cloud storage and data catalogs, making it ideal for data engineering, analytics, and machine learning workflows. By using Daft, you can handle big, multimodal datasets faster and more flexibly, improving your ability to analyze and prepare data for AI models without complex setup or slowdowns. https://github.com/Eventual-Inc/Daft

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@producTICvidad · Post #1042 · 04/22/2023, 09:20 PM

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Esto está muy poderoso... Eight dimensions of #DesignThinking capture important differences in how managers and designers perform their work and make decisions. 1️⃣ Design thinking has the potential to drive innovation and improve customer experiences in organizations. 2️⃣ To succeed, organizations must understand and adopt the principles of design thinking. 3️⃣ Developing the right culture and mindset is crucial for design thinking to be effective. 4️⃣Embracing collaboration, ambiguity, and iterative learning can help organizations leverage design thinking. 5️⃣ Openness to change and adaptability are essential for design thinking to deliver sustainable growth. https://sloanreview.mit.edu/article/can-design-thinking-succeed-in-your-organization/

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