article thumbnail

The 6 Biggest Problems Of Professional Crypto Traders

Smart Data Collective

Risk management , e.g. understanding of acceptable and too dangerous risks. For instance, magik_moose from Reddit states that pros must follow a few rules, including proper risk management, clear targets, independent analysis, and control over emotions. Gox in 2014. In total, more than $1.35

article thumbnail

Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Edge caches become crucial for managing data on its way from web servers to mobile devices. Probably the best one-liner I’ve encountered is the analogy that: DG is to data assets as HR is to people. credit cards).

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Themes and Conferences per Pacoid, Episode 6

Domino Data Lab

Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. The ability to measure results (risk-reducing evidence). Generalists as an antidote for another typical enterprise anti-pattern: the proliferation of silos.

article thumbnail

Data Privacy vs. Data Security: Definition and Comparison

Alation

It is critical that firms view data security as part of governance, risk management, and compliance (GRC). With the rise of the internet, concerns around spam and identity theft gave rise to early online privacy measures. A bank vault has both security and privacy measures in place to protect the contents within.