Remove 2018 Remove Big Data Remove Data Collection Remove Risk
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VPNs Are Crucial Privacy Protection Tools in the Age of Big Data

Smart Data Collective

Big data has had many beneficial changes in our lives, but it has also heightened our concerns about privacy. Some of these concerns can be addressed with VPNs, which are an important gatekeeper for privacy in a world governed more by big data. VPNs Are Critical Privacy Safeguards in a World Ruled by Big Data.

Big Data 111
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Top 7 Data Governance Blog Posts of 2018

erwin

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. Defining Data Governance. The Top 6 Benefits of Data Governance.

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Data privacy examples

IBM Big Data Hub

Deploying privacy protections: The app uses encryption to protect data from cybercriminals and other prying eyes. Even if the data is stolen in a cyberattack , hackers can’t use it. These access controls reduce the chances that the data is used for unauthorized or illegal purposes.

Risk 82
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How to implement the General Data Protection Regulation (GDPR)

IBM Big Data Hub

The General Data Protection Regulation (GDPR), the European Union’s landmark data privacy law, took effect in 2018. Yet many organizations still struggle to meet compliance requirements, and EU data protection authorities do not hesitate to hand out penalties. Irish regulators hit Meta with a EUR 1.2

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Our Next Phase of Growth: Enterprise Data Catalogs

Alation

Today, we’re announcing that Alation has closed a $50 million Series C funding led by Sapphire Ventures, with participation from new investor Salesforce Ventures and our existing investors Costanoa Ventures, DCVC (Data Collective), Harmony Partners and Icon Ventures.

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Data Science, Past & Future

Domino Data Lab

By virtue of that, if you take those log files of customers interactions, you aggregate them, then you take that aggregated data, run machine learning models on them, you can produce data products that you feed back into your web apps, and then you get this kind of effect in business. That was the origin of big data.

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Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. 2018-06-21). He talked about the risks of reductionism and Descartes’ questionable legacy.