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How Systems Thinking Can Be Applied To Agile Transformations

Knowledge Hut

Applying systems thinking views a system as a set of interconnected and interdependent components defined by its limits and more than the sum of their parts (subsystems). When one component of a system is altered, the effects frequently spread across the entire system. are the main objectives of systems thinking.

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An Overview of Kanban System Examples

Knowledge Hut

In the early 1940s, Toyota automotive in Japan used a simple planning system to manage and control work and inventory at each stage optimally. It is related to lean and just-in-time JIT production, where it is used as a scheduling system to indicate what to produce, when, and how much. How does Kanban System work?

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How to Build and Monitor Systems Using Airflow?

Analytics Vidhya

Are you looking for a way to automate and simplify the process? Imagine scheduling your ML tasks to run automatically without the need for manual […] The post How to Build and Monitor Systems Using Airflow? Airflow can help you manage your workflow and make your life easier with its monitoring and notifications features.

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ITIL Service Design: Principles, Process and Its Importance

Knowledge Hut

Managing competing priorities, costs, risks, and responsibilities necessitates a clear process and cross-functional collaboration. Exploring the principles, processes, and importance of ITIL service design. Process and performance enhancements Improved service consistency and quality What is Service Design?

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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Movie Recommendation System: Definition, Strategies, Usecase

Knowledge Hut

Not only could this recommendation system save time browsing through lists of movies, it can also give more personalized results so users don’t feel overwhelmed by too many options. What are Movie Recommendation Systems? Recommender systems have two main categories: content-based & collaborative filtering.

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Supporting Diverse ML Systems at Netflix

Netflix Tech

The Machine Learning Platform (MLP) team at Netflix provides an entire ecosystem of tools around Metaflow , an open source machine learning infrastructure framework we started, to empower data scientists and machine learning practitioners to build and manage a variety of ML systems.

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