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Controlling Data Quality: Tips and Tools

Dataiku

Only 8% of CDOs are content with the quality of data at their disposal. Data needs to be valuable, thus of high quality , to drive machine learning model success.

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data.

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Your Guide To Modern Agency Analytics, Dashboards & Reporting Techniques

datapine

With more potential clients on the lookout, agencies need to stand out from the rest with top-quality services and unique features that will make them irreplaceable for their clients. Starting with its definition, following with the benefits of agency reports, a list of tools, and a set of agency dashboard examples.

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How AI Can Improve Your Annotation Quality?

Smart Data Collective

We have mentioned that advances in Artificial intelligence have significantly changed the quality of images recently. AI has undoubtedly changed the quality of art as new tools like MidJourney become more popular. Forbes author Barry Collins wrote about some new tools and features that MidJourney just released.

Metrics 62
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5 ways IT pros can accelerate webpages in a day at no cost

CIO Business Intelligence

The reality is that not any one person or team has the time and resources to follow all recommendations, so let’s dive into the tips that will have the largest real-world impact and can be implemented today at no cost. Here’s what to do: Ensure that cache control is set to public, allowing browsers to cache the assets more efficiently.

IT 98
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A Beginner’s Guide To Inventory Metrics And Best Practices

datapine

In our cutthroat digital economy, massive amounts of data are gathered, stored, analyzed, and optimized to deliver the best possible experience to customers and partners. Collecting big amounts of data is not the only thing to do; knowing how to process, analyze, and visualize the insights you gain from it is key.

Metrics 286
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Challenges of Hiring Dedicated Developers for AI Projects

Smart Data Collective

If you want to help develop new AI tools and apps , then you need to find a way to address the ongoing talent shortage. As an outsourcing company, we have encountered issues stemming from time zone differences and can share a few tips on how to handle them. One survey found that 86% of CEOs believe AI is essential to their offices.