DataRobot Blog

APRIL 29, 2022

Recently, Stanford University released its 2022 AI Index Annual Report , where it showed between 2016 and 2021, the number of bills containing artificial intelligence grew from 1 to 18 in 25 countries. The regulators have provided a universal definition that has been adopted across the financial industry.

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Ms SQL Girl

MAY 19, 2016

As you may already know In-database Analytics (also known as Advanced Analytics) is available in SQL Server 2016. To simplify, “In-database Advanced Analytics”: you can run powerful statistical / predictive modelling (from R) inside SQL Server. SQL Server 2016 RC3 : this includes SQL Server R Services that you can install.

Visualization 45

Visualization Predictive Modeling Statistics Reporting 45

Depict Data Studio

APRIL 10, 2023

and implications of findings) than in statistical significance. Surrounding myself with a variety of chart types, all of which have been used in different reports and for different groups of people, helps me create brand new charts easily. Put your easiest-to-follow chart in your final presentation or report.

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The Unofficial Google Data Science Blog

JULY 11, 2017

SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. They may contain parameters in the statistical sense, but often they simply contain strategically placed 0's and 1's indicating which bits of $alpha_t$ are relevant for a particular computation. by STEVEN L.

Forecasting 66

Forecasting Statistics Modeling Software 66

CIO Business Intelligence

APRIL 24, 2023

In the 2023 State of the CIO report , IT leaders said they were most concerned about finding qualified experts in advanced areas such as cybersecurity, blockchain, and data science and analytics. Internal talent is gold, and we’re making sure our current employees find places to grow and modernize their skill sets.”

IT 111

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Ms SQL Girl

MAY 19, 2016

As you may already know In-database Analytics (also known as Advanced Analytics) is available in SQL Server 2016. To simplify, “In-database Advanced Analytics”: you can run powerful statistical / predictive modelling (from R) inside SQL Server. SQL Server 2016 RC3 : this includes SQL Server R Services that you can install.

Visualization 40

Visualization Predictive Modeling Statistics Reporting 40

Smarten

SEPTEMBER 6, 2019

The traditional definition of data preparation describes an iterative process, typically executed by IT staff or analysts to extract and transform raw data so that the data can be used for discovery, analytics and reporting. Users can control the data elements, the volume and the timing of the analysis and reporting.

Analytics 53

Analytics IT Business Intelligence Testing 53

Smarten

SEPTEMBER 9, 2024

The Definition and Evolution of the Citizen Data Scientist Role The world-renowned technology research firm, Gartner, first introduced the concept of the Citizen Data Scientist in 2016. Since then, the idea has grown in popularity, and the role has grown in importance and prominence. ‘To Who is a Citizen Data Scientist ?

Prescriptive Analytics 52

Prescriptive Analytics Predictive Analytics Data-driven Business Intelligence 52

Smarten

JANUARY 3, 2019

In the past, business users would request reports and data analysis from an analyst or IT professional with defined report and analytical requirements and then wait for the results to be produced through data extraction, transformation and loading (ETL) or analytical expertise. How Can Citizen Analysts Improve Your Organization?

Business Intelligence 40

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Domino Data Lab

AUGUST 8, 2019

Having participated in several Foo Camps—and even co-chaired the Ed Foo series in 2016-17— most definitely, a Foo will turn your head around. 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

Rita Sallam

JULY 22, 2016

And here we are now, past the tipping point of a more than 10 to 11 year transition away from IT-centric reporting platforms to modern BI and analytics platforms that make up much of the new buying in the BI and Analytics market. A modern BI platform supports IT-enabled analytic content development. What Happened to Tradition BI?

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

The Unofficial Google Data Science Blog

APRIL 23, 2024

If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. e-handbook of statistical methods: Summary tables of useful fractional factorial designs , 2018 [3] Ulrike Groemping. Hedayat, N.J.A.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

The Unofficial Google Data Science Blog

MARCH 13, 2017

Typically, causal inference in data science is framed in probabilistic terms, where there is statistical uncertainty in the outcomes as well as model uncertainty about the true causal mechanism connecting inputs and outputs. CoRR, 2016. [3] Technical Report 1341, University of Montreal, 2009. CoRR, 2014. [2]

IT 70

IT Visualization Modeling Uncertainty 70

Smarten

SEPTEMBER 9, 2024

In fact, the world-renowned technology research firm, Gartner, first introduced the concept in 2016. Gartner defines a citizen data scientist as, ‘ a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics.’

Consulting 52

Consulting Cost-Benefit Data Science Business Intelligence 52

Jen Stirrup

OCTOBER 21, 2019

I’m normally reporting into Board level, or one level below, so my projects tend to have high visibility across the organization. Office for National Statistics (2015) Gender Pay Gap. Parliament UK (2016) Unemployment by ethnic background House of Commons Briefing Paper 6385 . & Kamenou-Aigbekaen, N.

Data-driven 49

Data-driven Marketing Testing Insurance 49

Andrew White

JANUARY 9, 2022

For example I would argue that most organizations that report their carbon footrest are not doing it consistently and nor are they doing it correctly. – We did some early work a few years ago that look at the career path of a CDO – see from 2016 Build Your Career Path to the Chief Data Officer Role. That is the key.

Analytics 64

Analytics Measurement Data-driven Modeling 64

Domino Data Lab

JANUARY 6, 2019

Recently the World Economic Forum published “ The Future of Jobs Report 2018.” Sharply increasing importance of skills such as technology design and programming highlights the growing demand for various forms of technology competency identified by employers surveyed for this report. In particular, note “Exhibit 6:”. In a word, yes.

Data Science 56

Data Science Machine Learning Visualization Reporting 56

O'Reilly on Data

MARCH 23, 2021

On top of this, we’ve seen the impact of bad actors and foreign influence (not mutually exclusive) on the dismantling of shared reality, such as Russian interference around the 2016 US election. Put simply, we are reduced to the inputs of an algorithm. Footnotes.

Internet Publishing and Broadcasting 342

Internet Publishing and Broadcasting Broadcasting Data-driven Publishing 342

Juice Analytics

MARCH 4, 2022

Nightingale was known for her love of statistics. She used her experience in nursing and love of statistics to take data and information that were collected and turn it into charts and graphs like the one below. She worked as a graphics editor from 2005 through 2016 at the NYT.

Visualization 110

Visualization Statistics Data-driven Interactive 110

Occam's Razor

SEPTEMBER 13, 2016

If you are open to being challenged… then here are the short-stories inside this post… The World Needs Reporting Squirrels. The World Needs Reporting Squirrels. If you are curious, here is a April 2011 post: The Difference Between Web Reporting And Web Analysis. Bonus #2: The Askers-Pukers Business Model.

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datapine

DECEMBER 28, 2021

1) What Is A Misleading Statistic? 2) Are Statistics Reliable? 3) Misleading Statistics Examples In Real Life. 4) How Can Statistics Be Misleading. 5) How To Avoid & Identify The Misuse Of Statistics? If all this is true, what is the problem with statistics? What Is A Misleading Statistic?

Statistics 363

Statistics Advertising Visualization Data mining 363

datapine

AUGUST 29, 2022

It was lately revised and updated in January 2016. He recognizes big online companies like Google or Facebook as the originators of the top big data tools and technologies, as well as data-driven management reporting and best practices. 8) Data Smart: Using Data Science to Transform Information into Insight, by John W.

Big Data 263

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Smarten

MARCH 20, 2025

In 2016, the technology research firm, Gartner, coined the term Citizen Data Scientist, and defined it as a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics.

Prescriptive Analytics 64

Prescriptive Analytics Advertising Data-driven Statistics 64

O'Reilly on Data

JUNE 16, 2020

We know, statistically, that doubling down on an 11 is a good (and common) strategy in blackjack. Interrogate reported data and information with a healthy skepticism through thinking about the processes that generate the data. We saw this after the 2016 U.S. To do so, let’s stick with the example of the 2016 U.S.

Uncertainty 357

Uncertainty Testing Risk Reporting 357

Occam's Razor

JULY 13, 2017

This is the simple view that greets you, outbreaks from 1890 to 2016 with vaccine development during that same time…. Good reporting. The Global Gender Gap Report is a fabulous example how to solve this problem. The output is not the reporting, the output are the conclusions from the Analyst’s brain. Simple exploration.

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