Remove data-rights
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Thought Leadership, Research, and Getting Your Data Right | Mike Ilecki

Peter Winick

Ask the right questions in the right way to ensure your research is accurate. But how do you know that you’re asking the right questions? Big businesses cannot hope to take the right stand on issues if they are only asking the important questions once. Well, you need to gather data.

Inclusion 130
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Making Ideas Accessible | Keith Goode

Peter Winick

AI is a hot topic right now, but many don’t fully understand the ramifications. How do you present data sets and explainable AI to the average person? Building a data set is a crucial part of creating an accurate AI model. We also talk about experimenting with different sources of data. Keith Goode Right.

Metrics 289
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Unleashing Predictive Power| Eric Siegel

Peter Winick

His mission with “The AI Playbook” is to bridge the gap between data scientists and business professionals, emphasizing the need for a customized process, discipline, and playbook for successful machine learning projects. And that’s everybody’s talking machine learning today, right? If we get it right.

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4 Reasons Businesses Need An Employee Data Bill Of Rights In The Age Of Remote Work

Forbes Leadership

Here are four key reasons why your business needs an employee data bill of rights.

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How Getting Data Ethics Right Improves Business Outcomes

Forbes Leadership

Every industry recognizes the potential data analysis has to improve business performance. However, with this powerful tool comes a responsibility for each organization to not only use data to their advantage but to also use it in a way that is ethical for all parties involved.

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Why Your Organization Needs a Bill of Rights for Employee Data

Harvard Business Review

As employers collect more data about their workers than ever before, employees deserve to know how it’s being used.

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To Craft a Better Employee Experience, Collect the Right Data

Harvard Business Review

Surveys, interviews, observation, and other tools can help you avoid “one-size-fits-none” policies.

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