The Unofficial Google Data Science Blog

APRIL 23, 2024

Crucially, it takes into account the uncertainty inherent in our experiments. Risk and Robustness Our estimates $widehat{beta}$ of the "true'' coefficients $beta$ of our model (1) depend on the random data we observe in experiments, and they are therefore random or uncertain. It is a big picture approach, worthy of your consideration.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Andrew White

APRIL 22, 2020

In this second phase executive leaders will need to make critical business decisions with even less data and with more uncertainty. Many highly leveraged firms will be at risk; debt will be at record levels in public and private so anyone who has cash will be predatory. But not all firms will get past phase 2.

Software 52

Software Measurement Uncertainty Marketing 52

Domino Data Lab

JULY 22, 2019

The year 2018 was what Wall Street Journal called “ a global reckoning on data governance.” ” If you don’t know, there were hundreds of millions of people affected worldwide during 2018 with security breaches and then data privacy leakage. You see these drivers involving risk and cost, but also opportunity.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

CIO Business Intelligence

SEPTEMBER 13, 2023

According to this paper, globally 145 countries have data privacy laws, up from 132 in 2018. Recent research we conducted with IDC, more than 70% of businesses believe financial and environmental regulations will become more of a threat, while source suggests 88% of boards regard cybersecurity as a business risk.

IT 98

IT Unstructured Data Uncertainty Strategy 98

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

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast. A single model may also not shed light on the uncertainty range we actually face. It provides the occasion for deeper exploration of which inputs that can be influenced and which risks can be proactively managed.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Cloudera

DECEMBER 21, 2020

In a 2020 study by Facebook and Bain & Co , approximately 310 million customers in Southeast Asia (ASEAN) are expected to shop online with an average spend of US$172 this year, compared to the 250 million customers and average spend of US$124 in 2018. . Making Hybrid Cloud Work for Data-Driven ASEAN Retailers .

Data-driven 87

Data-driven Data Strategy Strategy Cost-Benefit 87

Jet Global

MAY 18, 2020

But without establishing a centralised rapid reporting rhythm, fed by real-time data and supported by automated reporting processes, finance runs the risk of things dropping off into silos. And that’s the last thing you want during in periods of uncertainty where things are changing on a daily basis. What You See is What You Get.

Finance 64

Finance Reporting Uncertainty Testing 64

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 20

IoT Big Data Data Warehouse Uncertainty 20

Peter James Thomas

AUGUST 12, 2018

Some systems (even in 2018) can still make it harder to capture good data than to ram in bad. A clear parallel would be credit risk in Retail Banking, but something as simple as an estimate of potentially delinquent debtors is an inherently statistical figure (albeit one that may not depend on the output of a statistical model).

Metrics 49

Metrics Statistics Data Quality Measurement 49

O'Reilly on Data

JUNE 16, 2020

But when making a decision under uncertainty about the future, two things dictate the outcome: (1) the quality of the decision and (2) chance. The quality of the decision is based on known information and an informed risk assessment, while chance involves hidden information and the stochasticity of the world.

Uncertainty 275

Uncertainty Testing Risk Reporting 275