Remove 2018 Remove Management Remove Risk Remove Testing
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Generative AI’s change management challenge

CIO Business Intelligence

Despite headlines warning that artificial intelligence poses a profound risk to society , workers are curious, optimistic, and confident about the arrival of AI in the enterprise, and becoming more so with time, according to a recent survey by Boston Consulting Group (BCG). A lot has happened since that last survey on attitudes to AI in 2018.

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6 business risks of shortchanging AI ethics and governance

CIO Business Intelligence

Even if the AI apocalypse doesn’t come to pass, shortchanging AI ethics poses big risks to society — and to the enterprises that deploy those AI systems. The following real-world implementation issues highlight prominent risks every IT leader must account for in putting together their company’s AI deployment strategy.

Risk 140
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Decision-Making in a Time of Crisis

O'Reilly on Data

The quality of the decision is based on known information and an informed risk assessment, while chance involves hidden information and the stochasticity of the world. Consider risk not only in terms of likelihood but also in terms of the impact of your decisions. The latter resulted in Mike losing his blackjack hand.

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Machine Learning Product Management: Lessons Learned

Domino Data Lab

It focuses on his ML product management insights and lessons learned. If you are interested in hearing more practical insights on ML or AI product management, then consider attending Pete’s upcoming session at Rev. I was fortunate to see an early iteration of Pete Skomoroch ’s ML product management presentation in November 2018.

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How To Succeed As a DataOps Engineer

DataKitchen

A DataOps Engineer can make test data available on demand. DataOps Engineers have tools that we apply to all of the pipeline orchestrations that we manage. We have automated testing and a system for exception reporting, where tests identify issues that need to be addressed. We don’t want to embarrass anyone.

Testing 246
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18 Examples Of Big Data Analytics In Healthcare That Can Save People

datapine

Big data has changed the way we manage, analyze, and leverage data across industries. By utilizing key performance indicators in healthcare and healthcare data analytics, prevention is better than cure, and managing to draw a comprehensive picture of a patient will let insurance provide a tailored package.

Big Data 364
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Agile Technology and Big Data Improve the State of Cybersecurity

Smart Data Collective

The risk of data breaches is rising sharply. The number increased 56% between 2017 and 2018. Cybersecurity experts are using data analytics and AI to identify warning signs that a firewall has been penetrated, conduct risk scoring analyses and perform automated cybersecurity measures.

Big Data 111