Smart Data Collective

AUGUST 5, 2020

The majority of experts in AI development report that in the future AI will become a decent substitution for human jobs. The point is that the American courtrooms have faced government pressure to reduce prison quantity but avoiding risks in crime rising. However, should AI fully replace judges and legal officers?

Risk 106

Risk Statistics Machine Learning Big Data 106

Domino Data Lab

MAY 8, 2019

Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. Adrian Weller (2017-07-29). “ That’s a risk in case, say, legislators – who don’t understand the nuances of machine learning – attempt to define a single meaning of the word interpret. Challenges for Transparency ”. Riccardo Guidotti, et al.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Smarten

NOVEMBER 22, 2017

These self-serve tools allow business users to dive deep into data and enable analysis and reporting that is as unique and creative as the user. The advent of new and improved self-serve business intelligence solutions means that advanced analytics is easier than ever for the average business user to adopt and leverage.

Analytics 40

Analytics IT Business Intelligence Visualization 40

The Unofficial Google Data Science Blog

JULY 22, 2020

One reason to do ramp-up is to mitigate the risk of never before seen arms. For example, imagine a fantasy football site is considering displaying advanced player statistics. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown.

Experimentation 95

Experimentation Statistics Testing Strategy 95

O'Reilly on Data

JANUARY 25, 2021

In this report, we look at the data generated by the O’Reilly online learning platform to discern trends in the technology industry—trends technology leaders need to follow. Look at all the angst heating up social media when TIOBE or RedMonk releases their reports on language rankings. But what are “trends”? And that’s unfortunate.

Machine Learning 363

Machine Learning Software Testing Technology 363

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. © Scott Adams (2017) – dilbert.com. In 2017, a survey estimated that 68 percent of American offices had low or no separation between workers. Source: Google Trends.

Cost-Benefit 55

Cost-Benefit Data Warehouse Consulting Data Science 55

Peter James Thomas

AUGUST 12, 2018

Integrity of statistical estimates based on Data. Having spent 18 years working in various parts of the Insurance industry, statistical estimates being part of the standard set of metrics is pretty familiar to me [7]. The thing with statistical estimates is that they are never a single figure but a range. million ± £0.5

Metrics 49

Metrics Statistics Data Quality Measurement 49

Domino Data Lab

AUGUST 8, 2019

The probabilistic nature changes the risks and process required. 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. machine learning?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

The Unofficial Google Data Science Blog

APRIL 17, 2017

Such a model risks conflating important aspects, notably the growth trend, with other less critical aspects. In other words, there is an asymmetry of risk-reward when there exists the possibility of misspecifying the weights in $X_C$. This imbues the forecasting routine with two attractive properties.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

Domino Data Lab

JANUARY 6, 2019

What are the projected risks for companies that fall behind for internal training in data science? Recently the World Economic Forum published “ The Future of Jobs Report 2018.” Another recent report by McKinsey Global Institute correlates closely with the WEF analysis. In business terms, why does this matter ?

Data Science 56

Data Science Machine Learning Reporting Visualization 56

O'Reilly on Data

MARCH 23, 2023

What is it, how does it work, what can it do, and what are the risks of using it? There are more that I haven’t listed, and there will be even more by the time you read this report. All of these models are based on a technology called Transformers , which was invented by Google Research and Google Brain in 2017.

IT 262

IT Modeling Testing Risk 262

datapine

NOVEMBER 27, 2019

The development of business intelligence to analyze and extract value from the countless sources of data that we gather at a high scale, brought alongside a bunch of errors and low-quality reports: the disparity of data sources and data types added some more complexity to the data integration process. 3) Artificial Intelligence.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361