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Take Advantage Of The Best Interactive & Effective Data Visualization Examples

datapine

Table of Contents 1) The Benefits Of Data Visualization 2) Our Top 27 Best Data Visualizations 3) Interactive Data Visualization: What’s In It For Me? Whether static or interactive dashboards , these creative data visualization examples will serve as an inspiration for any data enthusiast. No, data is the new soil.”

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Get Started With Interactive Weekly Reports For Performance Tracking

datapine

This is where interactive weekly reports come into the picture. Powered by interactive visualizations, managers use these reports to outline the progress of the week and find improvement opportunities for the future. We will see these interactive reports in action throughout the post. What Is A Weekly Report?

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Explore visualizations with AWS Glue interactive sessions

AWS Big Data

AWS Glue interactive sessions offer a powerful way to iteratively explore datasets and fine-tune transformations using Jupyter-compatible notebooks. This post is part of a series exploring the features of AWS Glue interactive sessions. and later).

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Preliminary Thoughts on the White House Executive Order on AI

O'Reilly on Data

Like other internet-available services, AI models are not static artifacts, but dynamic systems that interact with their users. These should not be a random grab-bag of measures thought up by outside regulators or advocates, but disclosures of the actual measurements and methods that the companies use to manage their AI systems.

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An Introduction To Data Dashboards: Meaning, Definition & Industry Examples

datapine

Data dashboards provide a centralized, interactive means of monitoring, measuring, analyzing, and extracting a wealth of business insights from relevant datasets in several key areas while displaying aggregated information in a way that is both intuitive and visual. They Are Interactive. What Is A Data Dashboard?

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Bringing an AI Product to Market

O'Reilly on Data

These measures are commonly referred to as guardrail metrics , and they ensure that the product analytics aren’t giving decision-makers the wrong signal about what’s actually important to the business. When a measure becomes a target, it ceases to be a good measure ( Goodhart’s Law ). Any metric can and will be abused.

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Pitching a DataOps Project That Matters

DataKitchen

Each of these improvements can be measured and iterated upon. . Try measuring your errors per week. Measure how fast teams can respond to errors and requests. As the data team becomes more agile, interaction with users increases in importance. For example, users may not trust the data.