Getting started with cnvrg.io data science platform

Getting started with cnvrg.io data science platform
cnvrg.io is used across industries to help enterprises accelerate AI from research to production by simplifying DevOps and dependencies involved in building production-ready ML.

Whether you’ve just begun the free trial, you’re a new user, or you’re interested in looking deeper into cnvrg.io features, we invite you to join us in a live workshop on how to get started using cnvrg.io.
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Spotlight

OTHER ON-DEMAND WEBINARS

How to Analyze & Optimize Mobility with Geospatial Data

From micromobility to last-mile delivery, mobility and transportation use cases are inherently geospatial. Whether you’re planning expansion into a new city or territory or optimizing rider / fleet operations, mobility companies are turning to spatial analytics to find greater profitability in a time of rapidly rising costs and fluctuating consumer demand.
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Data Privacy in Analytics

Data Protection and Privacy Compliance are becoming more ubiquitous and gaining in importance. In recent years, legislation has reacted by introducing e.g. the GDPR, the UK Data Protection Law or the California Consumer Privacy Act and associated regulations (“CCPA”). European Regulators especially have been clear that they take data privacy of their citizens very seriously, as shown in the January 2022 ruling of the Austrian courts against a website that was using Google Analytics.
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Top Trends in Modern Data Architecture for 2019

Percona

From AI and machine learning to data discovery and real-time analytics, a strong data architecture strategy is critical to supporting your organization's data-driven goals. Greater speed, flexibility, and scalability are common wish-list items, alongside smarter data governance and security capabilities. Many new technologies and approaches have come to the forefront of data architecture discussions, including data lakes, in-memory databases and engines like Spark and cloud services of all shapes and sizes.
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Why the Solution to Data Democratization Is in the Stars

Data democratization is tough for even the most established enterprises. Now imagine how difficult it is for an organization working to eliminate the connectivity and data access barriers that hold economies and communities back.
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