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Data Privacy and Internet Safety Tips for College Students

Smart Data Collective

College students are often believed to be least at risk, because they are more tech-savvy and presumably know how to stop data breaches. Since they use the Internet a lot more than their older peers, they might actually be at an even higher risk. First of all, let’s look into some statistics. What Research Shows.

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9 Ways Location Data Can Help You Excel in Retail

Smart Data Collective

trillion in 2019? This tailored method outperforms allocating advertising expenditures over a variety of channels without analyzing each channel’s performance in terms of ROI and client acquisition cost. Retailers who want to prosper in the future months and even years can’t risk making choices without using data.

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What you need to know about product management for AI

O'Reilly on Data

All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. Those cutting-edge ideas are also attractive, both to managers who don’t understand the risks and to developers who want to try something that’s really challenging.

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Predicting Movie Profitability and Risk at the Pre-production Phase

Insight

Using variability in machine learning predictions as a proxy for risk can help studio executives and producers decide whether or not to green light a film project Photo by Kyle Smith on Unsplash Originally posted on Toward Data Science. In 2019, Netflix alone released 371 new TV shows and movies. ROI = Profit/Budget).

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Interview with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity

Corinium

For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks. Life insurance needs accurate data on consumer health, age and other metrics of risk. Now, there is a data risk here.

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Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

The ROI of human involvement When it comes to human involvement, the key difference is in the magnitude of costs associated with any one forecast cycle. This defines the ROI on the investment of human time. With those stakes and the long forecast horizon, we do not rely on a single statistical model based on historical trends.

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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

Sci Foo 2019. provides ways to kill 2-3 birds with one stone: better recommendations for people leveraging that data, along with better data governance, along with better ROI on research funding. For example, meeting Carole Goble was one of the top highlights of Sci Foo 2019 for me. Do those concerns sound familiar?