Thu.Sep 12, 2024

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Setup Mage AI with Postgres to Build and Manage Your Data Pipeline

Analytics Vidhya

Introduction Imagine yourself as a data professional tasked with creating an efficient data pipeline to streamline processes and generate real-time information. Sounds challenging, right? That’s where Mage AI comes in to ensure that the lenders operating online gain a competitive edge. Picture this: thus, unlike many other extensions that require deep setup and constant coding, […] The post Setup Mage AI with Postgres to Build and Manage Your Data Pipeline appeared first on Analytics Vidhy

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10 GitHub Repositories to Master Computer Vision

KDnuggets

The GitHub repository includes up-to-date learning resources, research papers, guides, popular tools, tutorials, projects, and datasets.

Datasets 133
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Embracing the Era of Enterprise AI: Your Guide to Snowflake World Tour

Snowflake

The Snowflake World Tour is making 23 stops around the globe, so you can learn about the latest innovations in the AI Data Cloud in a city near you. This tour will cover Snowflake’s latest advancements that can help you accelerate AI and application development in your organization while advancing the data foundation that makes it all possible. This includes new capabilities related to Snowflake Cortex, streaming, Iceberg open table formats and more.

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5 Quirky Data Science Projects to Impress

KDnuggets

Develop unique yet standing-out data science projects to improve your data portfolio.

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Building Your BI Strategy: How to Choose a Solution That Scales and Delivers

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

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The 5 Data Quality Rules You Should Never Write Again

Monte Carlo

You know what they say about rules: they’re meant to be broken. Or, when it comes to data quality, it’s more like they’re bound to be broken. Data breaks, that much is certain. The challenge is knowing when, where, and why it happens. For most data analysts, combating that means writing data rules – lots of data rules – to ensure your data products are accurate and reliable.

Data 52
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Introducing the AI Lakehouse

KDnuggets

In order for Lakehouse to become a unified data layer for both analytics and AI, it needs to be extended with new capabilities

IT 97

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Robinhood ESG Report: 2023 Highlights

Robinhood

The Robinhood Environmental Social and Governance (“ESG”) program is central to our company mission of democratizing finance for all. Today we published our fourth ESG report to feature last year’s work and focus on today’s commitments to drive our mission and make a positive impact for our customers and the world around us. This year’s report describes our progress with ESG priorities for fiscal year 2023: Robinhood is dedicated to managing our environmental impact, including carbon emissions.

Finance 86
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The Power of Location Data: Driving Business Value with Spatial Analytics

Precisely

Key Takeaways Leverage location intelligence (LI) to make informed business decisions with spatial data insights. Use accessible LI tools to democratize data and enable competitive advantages. Ensure data accuracy and integrity of your location data to maximize the benefits of location intelligence. It used to be that leveraging location data required specialized tools, advanced systems, and expert users.

Food 59