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Some highlights from 2020

Data Science and Beyond

The initial covid-19 lockdown provided me with extra free time to make the measurement and offsetting of Automattic’s emissions from data centre power use happen. I summarised this work in a post on the company’s blog , and discussed it in an interview with PublishPress. Technical work.

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From principles to actions: building a holistic approach to AI governance

IBM Big Data Hub

In a 2021 study by the IBM Institute of Business Value , nearly 75% of executives ranked AI ethics as important, a jump from less than 50% in 2018. This includes data collection, instrumenting processes and transparent reporting to make needed information available for all the stakeholders.

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Measuring Validity and Reliability of Human Ratings

The Unofficial Google Data Science Blog

E ven after we account for disagreement, human ratings may not measure exactly what we want to measure. Overview Human-labeled data is ubiquitous in business and science, and platforms for obtaining data from people have become increasingly common. That’s the focus of this blog post.

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The Gartner 2022 Leadership Vision for Data and Analytics Leaders Questions and Answers

Andrew White

– In the webinar and Leadership Vision deck for Data and Analytics we called out AI engineering as a big trend. I would take a look at our Top Trends for Data and Analytics 2021 for additional AI, ML and related trends. Can you remind where we can find the mentioned blog? Keep a watch on Gartner.com.

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Analytics and BI Bake-Off Rocks Data & Analytics Summit LIVE and IN PERSON, 2022!

Rita Sallam

Like all of you, the pandemic forced us to innovate and we did our very first virtual BI Bake off in October of 2020 and then again in May of 2021 – and they were awesome! For the vendors that participate in the Bake-Off, it is in equal measure fun and extremely stressful. Their video is at the end of the blog.

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Using DataOps to Drive Agility and Business Value

DataKitchen

In May 2021 at the CDO & Data Leaders Global Summit, DataKitchen sat down with the following data leaders to learn how to use DataOps to drive agility and business value. Kurt Zimmer, Head of Data Engineering for Data Enablement at AstraZeneca. DataOps Enables Your Data Mesh or Data Fabric.

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Misleading Statistics Examples – Discover The Potential For Misuse of Statistics & Data In The Digital Age

datapine

Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity! Misleading statistics refers to the misuse of numerical data either intentionally or by error. The most recent case happened just a few months ago in September 2021.