Smart Data Collective

OCTOBER 31, 2022

Does implementing AI & AI data into the modern trading world actually provide any benefits? By analyzing, identifying, and predicting these trends, analysts are able to help their clients minimize risk while enjoying large returns. Fortunately, the first robo-advisors were created in 2008. An Improved Consumer Accessibility.

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

Peter James Thomas

JUNE 20, 2019

Of course it can be argued that you can use statistics (and Google Trends in particular) to prove anything [1] , but I found the above figures striking. Optimising business processes was intended to deliver reduced costs, increased efficiency and to transform also-rans into World-class organisations. Source: Google Trends.

Cost-Benefit 55

Cost-Benefit Data Warehouse Consulting Data Science 55

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. And I’m sure our listeners will benefit from this. Anushruti: Perfect. Love the simile, by the way.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

Jet Global

APRIL 5, 2021

Risk management. It is typically used to predict future revenues, expenses, and capital costs. A cost-saving initiative within a company. For example, pension funds must be able to pay pensioners during any economic conditions, including a crisis like 2008. Raising capital in the form of debt or equity. How much debt?

Modeling 98

Modeling Forecasting Metrics Finance 98

Domino Data Lab

JANUARY 6, 2019

I’ve been teaching data science since 2008 privately for employers – exec staff, investors, IT teams, and the data teams I’ve led – and since 2013, for industry professionals in general. What are the projected risks for companies that fall behind for internal training in data science? Guess who benefits most by that?

Data Science 56

Data Science Machine Learning Reporting Visualization 56