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

Cloudera

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).

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Announcing Cloudera’s Enterprise Artificial Intelligence Partnership Ecosystem

Cloudera

We see AI applications like chatbots being built on top of closed-source or open source foundational models. Those models are trained or augmented with data from a data management platform. The data management platform, models, and end applications are powered by cloud infrastructure and/or specialized hardware.

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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.