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Power to the Data Report: Introduction to H2O.ai

insideBIGDATA

The company was founded in 2014 by a group of engineers and scientists who were passionate about making AI more accessible to everyone. is a company that provides artificial intelligence (AI) and machine learning (ML) platforms and solutions.

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What is the Snowflake Data Cloud and How Much Does it Cost?

phData

Snowflake’s Data Cloud has emerged as a leader in cloud data warehousing. As a fundamental piece of the modern data stack , Snowflake is helping thousands of businesses store, transform, and derive insights from their data easier, faster, and more efficiently than ever before.

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Big Data – Lambda or Kappa Architecture?

Data Science Blog

Kappa – Architecture Jay Kreps introduced the Kappa architecture in 2014 as an alternative to the Lambda architecture. However, it is worth mentioning that while the batch layer and real-time stream handle different scenarios, their underlying processing logic often shares similarities.

Big Data 130
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Top 5 Use Cases of phData’s Advisor Tool

phData

Founded in 2014 by three leading cloud engineers, phData focuses on solving real-world data engineering, operations, and advanced analytics problems with the best cloud platforms and products. Over the years, one of our primary focuses became Snowflake and migrating customers to this leading cloud data platform.

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Google Research, 2022 & Beyond: Language, Vision and Generative Models

Google Research AI blog

In this context, such models can take the raw output of sensors that are unlike any human senses, such as 3-D point cloud data from Lidar units on autonomous vehicles, and can combine this with data from other sensors, like vehicle cameras, to better understand the environment around them and to make better decisions.

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Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

AWS Machine Learning Blog

Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care. This is a joint blog with AWS and Philips.

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Using Matillion Data Productivity Cloud to call APIs

phData

Matillion is also built for scalability and future data demands, with support for cloud data platforms such as Snowflake Data Cloud , Databricks, Amazon Redshift, Microsoft Azure Synapse, and Google BigQuery, making it future-ready, everyone-ready, and AI-ready. Check out the API documentation for our sample.