AWS Machine Learning Blog

JANUARY 13, 2023

This blog post is co-written with Chaoyang He and Salman Avestimehr from FedML. On the edge, the framework facilitates training and deployment of edge models to mobile phones and internet of things (IoT) devices. The FedML open-source library supports federated ML use cases for edge as well as cloud.

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AWS Analytics Analytics Machine Learning 105

Dataversity

APRIL 5, 2021

However, most enterprises are hampered by data strategies that leave teams flat-footed when […]. The post Why the Next Generation of Data Management Begins with Data Fabrics appeared first on DATAVERSITY. Click to learn more about author Kendall Clark. The mandate for IT to deliver business value has never been stronger.

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Internet of Things Data Silos Data Lakes Data Warehouse 97

phData

MARCH 26, 2024

What insights could you derive from having your transactional and analytical data in one place? In this blog, we’ll go over what Hybrid tables are, how they differ from standard Snowflake tables, and some real-world scenarios where using Hybrid tables in your Snowflake account would be beneficial.

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Clustering Internet of Things Analytics Analytics 52

AWS Machine Learning Blog

JANUARY 13, 2023

This blog post is co-written with Chaoyang He and Salman Avestimehr from FedML. We call the data loader function for eICU data with the following code: elif dataset_name == "eicu": logging.info("load_data. Define the model. Load the model specific for eICU with input and output dimensions defined based on the dataset.

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AWS Analytics Analytics Machine Learning 99

phData

DECEMBER 4, 2024

In this blog, we aim to demystify generative AI for manufacturing companies , offering a clear path to implementing generative AI use cases in your business. The general idea is to use Industrial Internet of Things (IIoT) devices to monitor equipment and processes to optimize everything about the production process.

AI 52

AI AI Data Warehouse Data Quality 52

Alation

AUGUST 2, 2022

The problem many companies face is that each department has its own data, technologies, and information handling processes. This causes data silos to form, which can inhibit data visibility and collaboration, and lead to integrity issues that make it harder to share and use data. Subscribe to Alation's Blog.

Data Silos 52

Data Silos Data Lakes Data Analyst Data Scientist 52

Pickl AI

NOVEMBER 15, 2023

This centralization streamlines data access, facilitating more efficient analysis and reducing the challenges associated with siloed information. With all data in one place, businesses can break down data silos and gain holistic insights. Data Types: IoT sensor data (temperature, pressure, etc.)

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