Remove Artificial Intelligence Remove Big Data Remove Presentation Remove Tuning
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What is IT automation?

Dynatrace

Automating IT practices without integrated AIOps presents several challenges. Expect to spend time fine-tuning automation scripts as you find the right balance between automated and manual processing. Big data automation tools. By tuning workflows, you can increase their efficiency and effectiveness.

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QCon London: Lessons Learned From Building LinkedIn’s AI/ML Data Platform

InfoQ

He specifically delved into Venice DB, the NoSQL data store used for feature persistence. The presenter shared the lessons learned from evolving and operating the platform, including cluster management and library versioning. By Rafal Gancarz

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Structural Evolutions in Data

O'Reilly

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.

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Bringing the Magic of Amazon AI and Alexa to Apps on AWS.

All Things Distributed

Effectively applying AI involves extensive manual effort to develop and tune many different types of machine learning and deep learning algorithms (e.g. automatic speech recognition, natural language understanding, image classification), collect and clean the training data, and train and tune the machine learning models.

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