erwin

DECEMBER 20, 2018

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. With that in mind, we’ve compiled a list of the very best, best-practice blog posts from the erwin Experts in 2018.

Data Governance 40

Data Governance ROI Risk Management Metadata 40

Smart Data Collective

SEPTEMBER 22, 2021

Data breaches and security risks happen all the time. One bad breach and you are potentially risking your business in the hands of hackers. In this blog post, we discuss the key statistics and prevention measures that can help you better protect your business in 2021. But you can come around this. Let’s dive in.

Statistics 107

Statistics Risk Measurement Software 107

CDW Research Hub

JUNE 10, 2021

Sirius Security helps them reduce risk, streamline and improve operations, and take a forward-leaning approach with proactive prevention, detection and response that keeps pace with threats. Advancing your security posture requires effectively managing these common challenges: Shifting compliance and threat landscape.

Enterprise 52

Enterprise Consulting Risk Business Objectives 52

BizAcuity

JULY 26, 2021

According to the 2019 report by Flexera enterprises with a hybrid strategy grew to 58% in 2019 from 51% in 2018. A hybrid cloud environment aids in workload mobility, integration, and management across multiple computing environments. Improved security and risk management. What is a hybrid cloud?

IT 52

IT Cost-Benefit Data Processing Risk 52

Cloudera

FEBRUARY 15, 2024

From stringent data protection measures to complex risk management protocols, institutions must not only adapt to regulatory shifts but also proactively anticipate emerging requirements, as well as predict negative outcomes. The post Back to the Financial Regulatory Future appeared first on Cloudera Blog.

Insurance 84

Insurance Data Architecture Risk Management Risk 84

IBM Big Data Hub

FEBRUARY 22, 2024

But it’s equally important that they have a deep understanding of the risks and limitations of AI and how to implement the appropriate security measures and ethics guardrails. Note: These measures of responsibility must be interpretable by AI non-experts (without “mathsplaining”).

Metadata 101

Metadata Measurement Risk Modeling 101

Domino Data Lab

FEBRUARY 4, 2019

People who attended JupyterCon 2017–2018 can attest, an “industry poster session” includes an open bar, catered hors d’oeuvres, lots of mingling … to paraphrase feedback from JupyterCon, “As a tech person, would I get up extra early to meet strangers for coffee at 8:00 am? The ability to measure results (risk-reducing evidence).

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66