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Deploying Gen AI in Production with NVIDIA NIM & MLRun

Iguazio

The blog is based on the webinar Deploying Gen AI in Production with NVIDIA NIM & MLRun with Amit Bleiweiss, Senior Data Scientist at NVIDIA, and Yaron Haviv, co-founder and CTO and Guy Lecker, ML Engineering Team Lead at Iguazio (acquired by McKinsey). You can watch the entire webinar here.

AI 52
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Unlocking Tabular Data’s Hidden Potential

ODSC - Open Data Science

Many mistakenly equate tabular data with business intelligence rather than AI, leading to a dismissive attitude toward its sophistication. Standard data science practices could also be contributing to this issue. One might say that tabular data modeling is the original data-centric AI!

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Your Complete Roadmap to Become an Azure Data Scientist

Pickl AI

Data Preparation: Cleaning, transforming, and preparing data for analysis and modelling. Data Scientists can use Azure Data Factory to prepare data for analysis by creating data pipelines that ingest data from multiple sources, clean and transform it, and load it into Azure data stores.

Azure 52
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Building Safe Enterprise AI Systems in a Databricks Ecosystem with Securiti’s Gencore AI

Data Science Dojo

The partnership between Databricks and Gencore AI enables enterprises to develop AI applications with robust security measures, optimized data pipelines, and comprehensive governance. Optimized Data Pipelines for AI Readiness AI models are only as good as the data they process.

AI 195
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Gen AI Trends and Scaling Strategies for 2025

Iguazio

To see the complete conversation and dive into their insights, watch the webinar here. See the webinar for more Gartner trends. Quality, Scalability and Continuous Delivery Implementing modularity with LLM, data, and API abstractions to ensure flexibility Implementing tests for models, prompts, application logic, etc.

AI 59