Smart Data Collective

OCTOBER 31, 2022

To a certain extent, prices are partially based on the general public’s interactions and perception of the value of an asset. That’s why many companies have started to implement AI data into their investing strategies. Fortunately, the first robo-advisors were created in 2008. The Rise of Robo-Advisors.

Finance 139

Finance Cost-Benefit Marketing Statistics 139

bridgei2i

MAY 26, 2020

And over the past few weeks, on our AI to Impact podcast, we’ve been chatting with reputed AI & analytics leaders, digital transformation advisors and BRIDGEi2i business heads to gather their point of view on the current crisis challenges that enterprises are facing and some strategies to manoeuvre the COVID-19 situation.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

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. AI projects in financial services and health care. Image by Ben Lorica. Sources of model risk.

Machine Learning 38

Machine Learning Management Enterprise Risk Management 38

DataKitchen

MAY 10, 2021

Since 2008, teams working for our founding team and our customers have delivered 100s of millions of data sets, dashboards, and models with almost no errors. We liken this methodology to the statistical process controls advocated by management guru Dr. Edward Deming. Hoping for the best ” is not an effective manufacturing strategy.

Testing 214

Testing Manufacturing Data Quality Statistics 214

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. Skills continuing to grow in prominence by 2022 include analytical thinking and innovation as well as active learning and learning strategies.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Domino Data Lab

AUGUST 8, 2019

2008 – Financial crisis : scientists flee Wall St. Another key point: troubleshooting edge cases for models in production—which is often where ethics and data meet, as far as regulators are concerned—requires much more sophistication in statistics than most data science teams tend to have. It’s a quick way to clear the room.

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 363

Machine Learning Software Testing Technology 363