Smart Data Collective

OCTOBER 31, 2022

By analyzing, identifying, and predicting these trends, analysts are able to help their clients minimize risk while enjoying large returns. To a certain extent, prices are partially based on the general public’s interactions and perception of the value of an asset. Fortunately, the first robo-advisors were created in 2008.

Finance 138

Finance Cost-Benefit Marketing Statistics 138

O'Reilly on Data

MAY 27, 2020

So the state calculates and publishes a “Risk Adjusted Mortality Ratio”—a comparison between the actual number of observed deaths and the number that would be statistically expected, on average, for patients medically similar to those each doctor actually operated on. Mass produced and farm-to-table.

Risk 355

Risk Testing Reporting Measurement 355

bridgei2i

MAY 26, 2020

It is even more essential now that supply chains are empowered with a high standard of data and analytics sophistication to be able to cost-effectively serve the company’s purpose and combat risks at the same time. You know, Chief Risk Officers, for example, will no longer be confined to the credit industry. Anushruti: Perfect.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

O'Reilly on Data

JULY 15, 2019

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 developers are beginning to look at an even broader set of risk factors.

Machine Learning 37

Machine Learning Management Enterprise Risk Management 37

Jet Global

APRIL 5, 2021

Risk management. The three-statement financial model allows you to explore how your company will perform under multiple circumstances and visualize how different decisions can interact to impact the future of the company. This is achieved through thorough risk management strategies that are continually reviewed. M&A Model.

Modeling 98

Modeling Forecasting Metrics Finance 98

Domino Data Lab

AUGUST 8, 2019

2008 – Financial crisis : scientists flee Wall St. The probabilistic nature changes the risks and process required. Putting discussions about security aside, the statistics competency required to confront fairness and bias issues for machine learning models in production set quite a high bar. machine learning?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

O'Reilly on Data

JANUARY 25, 2021

We’ve explored usage across all publishing partners and learning modes, from live training courses and online events to interactive functionality provided by Katacoda and Jupyter notebooks. in 2008 and continuing with Java 8 in 2014, programming languages have added higher-order functions (lambdas) and other “functional” features.

Machine Learning 362

Machine Learning Software Testing Technology 362