A2. Spot on! No matter the cloud destination, you're plugged in and ready to generate insights! #ai #datascience #cloud #saschat #Analytics #ExploreSAS
DATA
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Democratizing Data Science Through Collaborative Team Analytics
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Absolutely! It's like turning a solo marathon into a relay race. Everyone gets to run a leg and contribute to the finish line. Democratisation of data takes the load off data scientists, fostering a team spirit in analytics! #ai #datascience #cloud #saschat #AnalyticsValue
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No-Code Analytics Democratizing Data Access Across Organizations
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It's like turning analytics into a universal language everyone in the org can speak. From data newbies to data scientists, everyone gets a voice! No-code = more answers, less waiting, and a truly democratised data env #ai #datascience #cloud #saschat #AnalyticsValue
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SAS Viya: No-Code AI for Data Discovery and Insights
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SAS Viya is like the ultimate tour guide in the data wilderness. With no-code, even those not fluent in the language of coding can navigate the terrain and discover precious data insights. Increased value? You bet! #ai #datascience #cloud #saschat #AnalyticsValue
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Low-Code Platforms Democratize Data Analytics Access
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A2: Imagine coding as a barrier at a concert. Low/no/pro-code platforms are like VIP passes, granting everyone backstage access. More fans (users), faster rock-out (analytics) sessions! #ai #datascience #cloud #saschat
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Custom Analytics Strategy: Tailoring Data Solutions to Organization Needs
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Absolutely! It's like tailoring a suit, each organisation needs an analytics strategy cut to their unique size and shape. Custom-fit solutions lead to stellar results. Define, align, and shine! #ai #datascience #cloud #saschat #AnalyticsValue #ExploreSAS
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Data Localization: First Step Toward Faster Analytics Insights
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Spot on! Navigating the data landscape without a map can feel like a wild goose chase. Knowing where your data resides is step one in the race towards analytics value. Faster insights, here we come! #ai #datascience #cloud #saschat
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Accelerating Feature Engineering with RAPIDS cuDF on GPU
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Using RAPIDS cuDF to Leverage GPU in Feature Engineering: Improving Performance by Replacing Pandas with cuDF in Creating Data Frames and Engineering Features and Integrating with Google Colab. https://
kdnuggets.com/2023/06/rapids
-cudf-leverage-gpu-feature-engineering.html?utm_source=dlvr.it&utm_medium=twitter&utm_campaign=using-rapids-cudf-to-leverage-gpu-in-feature-engineering
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Blockchain Integration Transforms Supply Chain Management Systems
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Just as the union of individuals forms a new family, the convergence of technology and systematic structures yields new exploitable opportunities. A prime example is the integration of blockchain technology with supply chain management. Microblog @antgrasso #blockchain
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Entropy and Reconstruction in Multi-View Self-Supervised Learning
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The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning paper page: https://
huggingface.co/papers/2307.10
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… The mechanisms behind the success of multi-view self-supervised learning (MVSSL) are not yet fully understood. Contrastive MVSSL methods have been studied through