New & Notable


Diverse talent pools and data sets can help solve bias in AI

Bringing historically underrepresented employees into critical parts of the design process while creating an AI model can reduce or eliminate bias in that model.


The power and limitations of enterprise AI

A panel at CES 2021, held virtually this year, discusses the areas in which modern-day AI and automation shine, and where they still struggle.


White House issues guiding principles for AI regulations

While the recommendations for AI regulation in the White House memo are loose, they appear to show the government is beginning to embrace AI, and could be a start toward oversight.


A look at AI infrastructure and enterprise AI uses

The promise of enterprise AI is built on old ETL technologies, and it relies on an AI infrastructure effectively integrating and processing loads of data.

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Enterprise Artificial Intelligence Basics

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    responsible AI

    Responsible AI is a governance framework that documents how a specific organization is addressing the challenges around artificial intelligence (AI) from both an ethical and legal point of view. Resolving ambiguity for where responsibility lies if ...

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    predictive modeling

    Predictive modeling, also called predictive analytics, is a mathematical process that seeks to predict future events or outcomes by analyzing patterns that are likely to forecast future results.

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    Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems.

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