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Why Reinvent the Wheel? The Challenges of DIY Open Source Analytics Platforms

Cloudera

data engineering pipelines, machine learning models). Validation alerts are powered by the Cloudera Diagnostic Bundle built inside of Cloudera Manager and its comprehensive collection of both environmental and product-level diagnostics.

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Announcing Cloudera’s Enterprise Artificial Intelligence Partnership Ecosystem

Cloudera

The data management platform, models, and end applications are powered by cloud infrastructure and/or specialized hardware. In a stack including Cloudera Data Platform the applications and underlying models can also be deployed from the data management platform via Cloudera Machine Learning.

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Metadata Management: Process, Tools, Use Cases, and Best Practices

Altexsoft

You can get more information about data labeling in machine learning from another post (it’s one of the main steps of preparing datasets for ML). Alation is an industry recognized provider whose data management solutions focus primarily on fueling self-service analytics, data governance, and cloud data migration.

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The Good and the Bad of Microsoft Power BI Data Visualization

Altexsoft

Premium version gives you access to AI-generated insights (text analytics, image detection, and automated machine learning ), self-service data preparation capabilities, and simplified data management. There’s also a vast online knowledge base with descriptions, tips, how-to guides , and best practices.

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The Year Ahead for BPM -- 2019 Predictions from Top Influencers

BPM

The current Artificial Intelligence (AI) fascination is unfortunately completely biased on Deep Neural Networks (DNN) and Machine Learning (ML) for everything. Allowing organizations to inject knowledge-based decisions services that are traceable, auditable and explainable into the process fabric of their operations.

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The Good and the Bad of Databricks Lakehouse Platform

Altexsoft

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. Besides that, it’s fully compatible with various data ingestion and ETL tools. How data engineering works in 14 minutes.