O'Reilly on Data

DECEMBER 12, 2019

In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. While our analysis of each method may appear technical, we believe that understanding the tools available, and how to use them, is critical for all risk management teams.

Machine Learning 187

Machine Learning Modeling Testing Risk Management 187

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

Insight

FEBRUARY 19, 2020

My goal here is not to improve upon the current prediction algorithms but rather to describe a model I devised, called ReelRisk , that uses random resampling to generate a range of predictions which can then be used as a risk assessment tool to determine early on whether to fund a movie. part of what makes this so difficult!

Risk 67

Risk ROI Modeling Metrics 67

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. The driving factors behind data governance adoption vary. Data Governance Readiness: The Five Pillars.

Data Governance 40

Data Governance ROI Risk Management Metadata 40

Corinium

APRIL 25, 2019

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.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Domino Data Lab

FEBRUARY 4, 2019

This edition of the conference will be held May 23–24, 2019 in NYC, where we’ll focus on data science as a team sport: leadership , practices , how teams work. 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.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Jet Global

MARCH 2, 2022

According to a 2019 survey by Harvard Business Review among investors and asset managers, ESG issues were one of the main considerations in respect of investment decisions. These recommendations are structured around governance, strategy, risk management, and metrics and targets all of which should interlink and inform each other.

Reporting 59

Reporting Recreation/Entertainment Risk Insurance 59

CIO Business Intelligence

APRIL 12, 2022

Even though Nvidia’s $40 billion bid to shake up enterprise computing by acquiring chip designer ARM has fallen apart, the merger and acquisition (M&A) boom of 2021 looks set to continue in 2022, perhaps matching the peaks of 2015, according to a report from risk management advisor Willis Towers Watson.

Technology 140

Technology Enterprise Consulting Software 140

Andrew White

JANUARY 11, 2021

Value Management or monetization. Risk Management (most likely within context of governance). Product Management. measuring value, prioritizing (where to start), and data literacy? Saul Judah is our main person focusing on D&A risk management. Governance. Architecture. Great idea.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Domino Data Lab

APRIL 3, 2019

Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Rinse, lather, repeat. a second priority?at

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84