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4 Great Programs Businesses Can Use to Get Accurate Data Results

Smart Data Collective

In 2016 experts projected that the “ big data ” industry would be worth somewhere around $30 billion by 2022. As touched on in the introduction, the data industry is growing at an incredibly rapid rate, and what is an industry norm today could be obsolete by the end of the week.

Big Data 121
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Closing the Gap Between the Digital Haves and Have-Nots

Cloudera

The majority of business leaders who participated in the IDG’s 2021 Data & Analytics Study are data haves — 86%, an increase from 68% in 2016. 93% of enterprise leaders have taken advantage of their data, compared to 81% of leaders of smaller-size companies. .

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Data Literacy for Responsible AI: Algorithmic Bias

DataRobot

For example, in 2016 ProPublica discovered algorithmic bias in COMPAS (Correctional Offender Management Profiling for Alternative Sanctions), a proprietary algorithm used to predict the likelihood that an individual accused of a crime would reoffend.

Metrics 98
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Data Privacy in the Digital Age: A Right or a Luxury?

Smart Data Collective

Caspar referenced the Cambridge Analytica fiasco and the data leak that affected over 500 million Facebook users to highlight the risks of mass profiling and how it can be used to influence political decisions. For instance, Facebook’s decision to buy WhatsApp in 2014 was based on data collected via the Onavo VPN.

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Big Data Creates Massive Changes for the Game of Golf

Smart Data Collective

The objective of this cheaper golf simulator cost was to help golf be more accessible to fans and also to help golfers improve their game through data all over the world. A study was held in 2016 that saw Big Data come into the scene. During the study, 225 terabytes of swing data were used to analyze over 13000 golf swings.

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EU Data Strategy: Helping Themselves

Andrew White

Any subsequent use of data, collected and/or shared for a public good/public interest function (e.g. This use of data, collected by the EU market, was implied as ‘function creep’ and might undermine the trust citizens have, it said. 2016 What is Wrong with Interoperability (in healthcare)? should be avoided.”.

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6 business risks of shortchanging AI ethics and governance

CIO Business Intelligence

Microsoft’s Tay chatbot, released on Twitter in 2016, quickly started spewing racist, misogynist, and anti-Semitic messages. Another option is to gather better training data to improve the algorithms so that the recommendations are more precise. The hospital did this by investing more in data collection, Taglieti says.

Risk 145