Jet Global

NOVEMBER 4, 2020

Although the most recent updates to the Organization for Economic Cooperation and Development (OECD) guidelines took place in 2017, some CFOs of multinational companies still don’t fully understand the implications of those changes, and how the changes affect transfer pricing at their companies.

Risk 98

Risk Uncertainty Sales Strategy 98

CIO Business Intelligence

JULY 17, 2023

My prominent achievements include managing the intricate implementation of GST and its setup in L&T in 2017 and at Havmor, where I recently completed 5 years, the SAP S4 HANA Greenfield implementation. During the last decade, I have led digital transformation initiatives which added two lac hours of productivity for various organizations.

IT 98

IT Digital Transformation IoT Internet of Things 98

IBM Big Data Hub

FEBRUARY 20, 2024

According to the Geophysical Fluid Dynamics Laboratory of the US’s National Oceanic and Atmospheric Association (NOAA), “Climate models reduce the uncertainty of climate change impacts, which aids in adaptation.” Global Change Research Program, 2017. Copernicus, Jan. link resides outside ibm.com).

Forecasting 113

Forecasting Modeling Reporting Risk 113

Cloudera

OCTOBER 3, 2018

This communication contains forward-looking statements within the meaning of the federal securities law that are subject to various risks and uncertainties that could cause our actual results to differ materially from those expressed or implied in such statements. Forward-Looking Statements.

Uncertainty 75

Uncertainty IoT Risk Reporting 75

Cloudera

MAY 15, 2018

Derman (2016), Cesa (2017) & Bouchard (2018)). Probability, Uncertainty and Quantitative Risk (2017) 2:6. These examples are well covered by many others (e.g., Trades, Quotes and Prices: Financial Markets Under the Microscope, Cambridge University Press, 2018. Mauro Cesa. “A A Brief History of Quantitative Finance”.

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

The Unofficial Google Data Science Blog

APRIL 23, 2024

Crucially, it takes into account the uncertainty inherent in our experiments. There is also uncertainty related to our modeling choices — did we select the correct polynomial embedding function $f(x)$, or is the true relationship better described by a different polynomial embedding?

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

AWS Big Data

AUGUST 7, 2023

Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future. Many businesses use different software tools to analyze historical data and past patterns to forecast future demand and trends to make more accurate financial, marketing, and operational decisions. and Karra Taniskidou, E.

Forecasting 90

Forecasting Data Warehouse Machine Learning Modeling 90

IBM Big Data Hub

MARCH 8, 2024

a new living room couch—consumers can reduce uncertainty and the likelihood of returning a product by “trying it out” in their living room. For example, since 2017 Dominos has operated its own app for mobile devices through which customers can quickly order a pizza.

Consulting 79

Consulting Marketing Sales Data Processing 79

The Unofficial Google Data Science Blog

JULY 11, 2017

Time series data are having something of a moment in the tech blogs right now, with Facebook announcing their "Prophet" system for time series forecasting (Taylor and Letham 2017), and Google posting about its forecasting system in this blog (Tassone and Rohani 2017). Goldfarb, S. Greenstein, and C. Tucker, eds., NBER Press, London.

Forecasting 66

Forecasting Statistics Modeling Software 66

Peter James Thomas

JUNE 20, 2019

© Scott Adams (2017) – dilbert.com. In 2017, a survey estimated that 68 percent of American offices had low or no separation between workers. King was a wise King, but now he was gripped with uncertainty. Clearly, somewhere along the line, things started to go wrong in the world of BPR. Dilbert’s Dystopia. ©

Cost-Benefit 55

Cost-Benefit Data Warehouse Data Science Consulting 55

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. Not just a black box: Learning important features through propagating activation differences. CoRR, 2016. [3]

IT 70

IT Visualization Modeling Uncertainty 70

The Unofficial Google Data Science Blog

APRIL 17, 2017

Quantification of forecast uncertainty via simulation-based prediction intervals. Prediction Intervals A statistical forecasting system should not lack uncertainty quantification. Accessed on 20 March 2017. Disaggregation of the time series into subseries and reconciliation of the subseries forecasts. and George Athanasopoulos.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

The Unofficial Google Data Science Blog

JULY 22, 2020

For this reason we don’t report uncertainty measures or statistical significance in the results of the simulation. From a Bayesian perspective, one can combine joint posterior samples for $E[Y_i | T_i=t, E_i=j]$ and $P(E_i=j)$, which provides a measure of uncertainty around the estimate. ACM, 2017. [4] 5] Imbens, Guido W.,

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96

Data Science and Beyond

JULY 28, 2017

While some people may find this kind of uncertainty daunting, I find it interesting, as it is one of the things that makes data science a science. This took about a month, due to the holiday period, various personal circumstances, and the data science team meetup that was scheduled for January 2017.

Data Science 81

Data Science Testing Measurement Uncertainty 81

CIO Business Intelligence

MARCH 2, 2023

With a talent for developing people and inspiring innovation from her teams, Anita Klopfenstein has built a powerhouse IT organization since joining Little Caesars in 2017 as its CIO. One of the secrets behind her success as a leader is her love of learning. That rallied them around it, and here we are now, rolling it out worldwide.

Uncertainty 52

Uncertainty IT Management Testing 52

Peter James Thomas

AUGUST 12, 2018

By the time that people who need to take decisions based on such information are in the loop, the inherent uncertainty of the prediction may have disappeared. Ideas for avoiding Big Data failures and for dealing with them if they happen (2017). The fact that the number itself is uncertain can get lost along the way.

Metrics 49

Metrics Statistics Data Quality Measurement 49

O'Reilly on Data

SEPTEMBER 11, 2019

So, we used a form of the Term Frequency-Inverse Document Frequency (TF/IDF) technique to identify and rank the top terms in this year’s Strata NY proposal topics—as well as those for 2018, 2017, and 2016. 2) is unchanged from Strata NY 2018, it’s up three places from Strata NY 2017—and eight places relative to 2016. 221) to 2019 (No.

IoT 25

IoT Big Data Data Warehouse Uncertainty 25

O'Reilly on Data

DECEMBER 9, 2019

Because of this trifecta of errors, we need dynamic models that quantify the uncertainty inherent in our financial estimates and predictions. Practitioners in all social sciences, especially financial economics, use confidence intervals to quantify the uncertainty in their estimates and predictions.

Statistics 31

Statistics Uncertainty Risk Marketing 31

Sisense

MAY 16, 2019

The study looked at both air freight and air passenger traffic from the year 2000 to 2017. Top 20 Countries in Passenger Traffic, 2017. Air Passengers Relative to Population Size (Adults 15+) by Country in 2017. report is a great illustration of how Ireland has ridden the waves of economic uncertainty and emerged successfully.

Uncertainty 73

Uncertainty Reporting Dashboards Sales 73

CIO Business Intelligence

FEBRUARY 27, 2023

The IT sector in Ukraine had stabilized after the 2014 Russian incursion with growth accelerating beginning in 2017 and “supercharging” in 2020 and 2021, says Katie Gove, senior director-analyst in Gartner’s Technology and Service Provider Research division. says Koalitionen CEO Amir Mofidi. Aimprosoft felt supported by its customers.

Software 97

Software Marketing Uncertainty Technology 97

The Unofficial Google Data Science Blog

JULY 18, 2023

Editor's note : The relationship between reliability and validity are somewhat analogous to that between the notions of statistical uncertainty and representational uncertainty introduced in an earlier post. But for more complicated metrics like xRR, our preference is to bootstrap when measuring uncertainty.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Jet Global

NOVEMBER 23, 2021

Figure 1 CFO Evolution Survey Report, Armanino LLP, 2017 All rights reserved. This helps to reduce uncertainty when planning in such a volatile business environment. Furthermore, a 2018 Gartner report found that half (56%) of the time executives and their teams spend on strategy is wasted. Powerful Tools.

Slice and Dice 52

Slice and Dice Recreation/Entertainment Reporting Finance 52