O'Reilly on Data

JULY 15, 2019

A look at how guidelines from regulated industries can help shape your ML strategy. After the 2008 financial crisis, the Federal Reserve issued a new set of guidelines governing models— SR 11-7 : Guidance on Model Risk Management. Note that the emphasis of SR 11-7 is on risk management.). Sources of model risk.

Machine Learning 38

Machine Learning Management Enterprise Risk Management 38

DataRobot Blog

JULY 21, 2022

Inquire whether there is sufficient data to support machine learning. Document assumptions and risks to develop a risk management strategy. Identify a consumption strategy. Data aggregation such as from hourly to daily or from daily to weekly time steps may also be required.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

erwin

FEBRUARY 4, 2021

However, organizations still encounter a number of bottlenecks that may hold them back from fully realizing the value of their data in producing timely and relevant business insights. It uncovered a number of obstacles that organizations have to overcome to improve their data operations. Overcoming Data Governance Bottlenecks.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

Cloudera

SEPTEMBER 7, 2023

The way to manage this is by embedding data integration, data quality-monitoring, and other capabilities into the data platform itself , allowing financial firms to streamline these processes, and freeing them to focus on operationalizing AI solutions while promoting access to data, maintaining data quality, and ensuring compliance.

Insurance 78

Insurance Risk Data-driven Finance 78

erwin

OCTOBER 24, 2019

Organizations are dealing with numerous data types and data sources that were never designed to work together and data infrastructures that have been cobbled together over time with disparate technologies, poor documentation and with little thought for downstream integration. With erwin, organizations can: 1.

Metadata 104

Metadata Management Data-driven Data Architecture 104

datapine

FEBRUARY 22, 2022

1) What Is A Business Intelligence Strategy? 2) BI Strategy Benefits. 4) How To Create A Business Intelligence Strategy. Over the past 5 years, big data and BI became more than just data science buzzwords. Your Chance: Want to build a successful BI strategy today? What Is A Business Intelligence Strategy?

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

DataRobot Blog

DECEMBER 20, 2022

For example, just to name the business of asset managers is generally dependent on these (but not limited to) four fundamentals : Accurately estimating the current asset’s price and rent. Automating and optimizing their investment strategy. You can understand the data and model’s behavior at any time. Conclusions.

Management 59

Management Machine Learning Optimization Modeling 59

datapine

AUGUST 29, 2022

At 156 pages on Kindle, this is a book you could finish in one (long) sitting if you were so inclined, and that you can also use as an inspiration when you work on your business intelligence strategy. 6) Lean Analytics: Use Data to Build a Better Startup Faster, by Alistair Croll and Benjamin Yoskovitz.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

AWS Big Data

AUGUST 14, 2023

At the same time, unstructured approaches to data mesh management that don’t have a vision for what types of products should exist and how to ensure they are developed are at high risk of creating the same effect through simple neglect. Examples may include associated revenue, savings, or reductions in operational losses.

Management 81

Management Risk Measurement Optimization 81