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What you need to know about product management for AI

O'Reilly on Data

Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself. You might establish a baseline by replicating collaborative filtering models published by teams that built recommenders for MovieLens, Netflix, and Amazon. If you can’t walk, you’re unlikely to run.

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The Role of Data Governance During A Pandemic

Anmut

This ongoing trade-off between reporting timely and accurate information strains the reliability of the data. In a time of uncertainty, it also pressures decision-making bodies even more into making the right decision. COVID-19 exposes shortcomings in data management. For example, they started counting care home deaths too.

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5 Types of Costly Data Waste and How to Avoid Them

CIO Business Intelligence

Lowering the entry cost by re-using data and infrastructure already in place for other projects makes trying many different approaches feasible. Fortunately, learning-based projects typically use data collected for other purposes. . Duplication of data also entails duplication of effort, which is an additional cost.

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Visualizing COVID-19 Data Responsibly: An Interview with Amanda Makulec

Depict Data Studio

Amanda said, “There are different points in which we make decisions about how and what we visualize, and then how we publish and share. Amanda went through some of the top considerations, from data quality, to data collection, to remembering the people behind the data, to color choices.

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Data Science, Past & Future

Domino Data Lab

Frankly, leading data science teams early on, you almost always had to struggle against the BI teams. It was also the year, 2001, when “ Agile Manifesto ” was published. They learned about a lot of process that requires that you get rid of uncertainty. They’re being told they have to embrace uncertainty.

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Measuring Validity and Reliability of Human Ratings

The Unofficial Google Data Science Blog

Editor's note : The relationship between reliability and validity are somewhat analogous to that between the notions of statistical uncertainty and representational uncertainty introduced in an earlier post. Measurement challenges Assessing reliability is essentially a process of data collection and analysis.

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2023’s Top Trends for Finance Teams in Europe, the Middle East, and Africa

Jet Global

Here, we discuss how factors like market uncertainty and IT dependence impact finance teams throughout EMEA. The State of Finance in EMEA Finance teams worldwide have been deeply impacted by market uncertainty. When searching for tax-management software, find one that automates data collection and processing.

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