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Improving air quality with generative AI

AWS Machine Learning Blog

This post presents a solution that uses a generative artificial intelligence (AI) to standardize air quality data from low-cost sensors in Africa, specifically addressing the air quality data integration problem of low-cost sensors. Qiong (Jo) Zhang , PhD, is a Senior Partner Solutions Architect at AWS, specializing in AI/ML.

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Unpacking and Utilizing Vertex with Google Earth Engine for Machine Learning.

Towards AI

Last Updated on May 9, 2024 by Editorial Team Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI. Let us look at what is in this tool and how you can integrate Vertex with the Google Earth engine to analyse and deploy geospatial Earth data. How will this impact Google Earth Engine? What is Google Earth Engine?

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On the implementation of digital tools

Dataconomy

For some of the world’s most valuable companies, data forms the core of their business model. The scale of data production and transmission has grown exponentially. However, raw data alone doesn’t equate to actionable insights. Future trends Emerging trends are reshaping the data analytics landscape.

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Causal Inference Python Implementation

Towards AI

Author(s): Akanksha Anand (Ak) Originally published on Towards AI. This historical sales data covers sales information from 2010–02–05 to 2012–11–01. So let’s filter out and keep only a handful of data to perform the analysis. Dataset: [link] Out of the three files present in the dataset, I used the Sales dataset.

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A review of purpose-built accelerators for financial services

AWS Machine Learning Blog

These activities cover disparate fields such as basic data processing, analytics, and machine learning (ML). And finally, some activities, such as those involved with the latest advances in artificial intelligence (AI), are simply not practically possible, without hardware acceleration.

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