News

This article was written by Ankur Gupta and originally appeared on the Collibra Data Governance Blog here: https://www.collibra.com/blog/what-is-anomaly-detection

Anomaly detection, also called outlier analysis, is the process of identifying unusual patterns, rare events, atypical behaviors, or outliers of a dataset, which differ significantly from the rest of the data.

This article was written by James Fisher and originally appeared on the Qlik Blog here: https://www.qlik.com/blog/are-you-heading-for-a-data-dead-end

The power that data offers is undeniable. And yet, harnessing, quality checking and contextualizing it continues to challenge business leaders.

This article was written by Scott Reed and originally appeared on the DataRobot Blog here: https://www.datarobot.com/blog/bias-in-ai/

In a recent blog, we talked about how, at DataRobot, we organize trust in an AI system into three main categories: trust in the performance in your AI/machine learning model, trust in the operations of your AI system, and trust in the ethics of your modelling workflow, both to design the AI system and to integrate it with your business process.

This article was written by Kevin Hanegan and originally appeared on the Qlik Blog here: https://www.qlik.com/blog/know-your-data-how-to-spot-misinformation-with-the-ncri

Earlier this year, we kicked off series 3 of Know Your Data by speaking to Experian about the most important data we need to understand to live healthy financial lives.

This article was written by Wei Zhong Toh, Nina Xing, Clifton Phua and originally appeared on the DataRobot Blog here: https://www.datarobot.com/blog/detect-accounting-fraud-with-ai/

Accounting fraud is the manipulation or misstatement of a company’s financial statements to create an illusion of strong financial health.

This article was written by Susan CS and originally appeared on the Alteryx Data Science Blog here: https://community.alteryx.com/t5/Data-Science/How-to-Make-Word-Clouds-People-Won-t-Hate/ba-p/795468

Word clouds: They sound so light, fluffy and fun.

This article was written by Ankur Gupta and originally appeared on the Collibra Data Governance Blog here: https://www.collibra.com/blog/defining-data-observability

Forbes defines Data Observability as a set of tools to track the health of enterprise data systems, and identify and troubleshoot problems when things go wrong.

This article was written by Joe DosSantos and originally appeared on the Qlik Blog here: https://www.qlik.com/blog/combatting-misinformation

In March this year, I wrote a blog, titled “The Power of Misinformation,” in which I highlighted serious societal misinformation threats being caused by social media tricksters.

This article was written by Scott Reed and originally appeared on the DataRobot Blog here: https://www.datarobot.com/blog/data-literacy-for-responsible-ai-algorithmic-bias/

As artificial intelligence secures its position in the public sphere, consumers expect companies to use the maturing technology ethically and responsibly.

This article was written by Clinton Regan and originally appeared on the Alteryx Data Science Blog here: https://community.alteryx.com/t5/Data-Science/Building-a-Recommendation-Engine-with-Alteryx-Python/ba-p/800204

Imagine you serve content to your customers and want to move from a static set of suggestions to a more personalized selection of options.