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Ready, Set, BAKE!

Dataiku

For the third year in a row, Dataiku was invited to take the stage in the Data Science and Machine Learning Bake-Off at the Gartner ® Data & Analytics Summits in Orlando and London. This bake-off focused on data science and machine learning vendors with significant momentum in the market.

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What Is ‘Equity As Code,’ And How Can It Eliminate AI Bias?

DataKitchen

Authors of an article published by McKinsey Global Institute assert that “more human vigilance is needed to critically analyze the unfair biases that can become baked in and scaled by AI systems.” Armed with a comprehensive set of metrics and target goals, data scientists can address AI bias like other performance requirements.

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12 Rules for Data Storytelling

Juice Analytics

Are you ready to learn how to be a data storyteller, but don’t have enough time to review the many great resources ? Know your message before creating your data story We get ahead of ourselves sometimes by creating piles of charts and visualizations, hoping a collection of half-baked thoughts will add up to a complete story.

Metrics 138
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Defining Simplicity for Enterprise Software as “a 10 Year Old Can Demo it”

Cloudera

My ten year old began to demonstrate how to deploy an Operational Database in AWS, showcasing how auto-scaling worked and how to set up replication. of clicks to set up their product, . # Despite all the improvements that had gone into it, the workflow was still too complex and my son struggled with setting it up.

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Diversity and inclusion: 7 best practices for changing your culture

CIO Business Intelligence

Set measurable goals and then measure them “One of the most important aspects of creating inclusive organizations is about measurement,” says McCalla. You can’t really know how well you are doing at building the inclusive environment you want if you don’t set goals and measure your progress against them. You set your intention.

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Erwin Data Intelligence: A Data Partner’s Perspective

erwin

It actually reverse engineers the ETL/ELT technical code sets and transforms and visualizes it on a logical level. Ready to mature your data intelligence efforts? What’s more, it even allows you to forward engineer the code to a different technology. How cool is that? Imagine how useful this can be to support migrations.

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A Guide to Building Better Data Products

Juice Analytics

Bake your knowledge of the problem and the data into a problem-solving application. Is the COO ready to provide resources after launch to support and maintain the product? Is the marketing team ready to support a product launch that includes all the resources, collateral and creativity required of any new product?