CIO Business Intelligence

SEPTEMBER 12, 2022

It requires bold bets and a willingness to persevere despite setbacks, criticism, and uncertainty,’’ wrote McKinsey senior partners Laura Furstenthal and Erik Roth in a recent blog post. “By Innovation is a double-edged sword: It is critical to growth — but that’s also what makes it risky. “It

Experimentation 133

Experimentation Consulting Technology Machine Learning 133

Occam's Razor

APRIL 15, 2019

During 2019, our Net Promotion Score has dropped 15 points. A decade ago, data people delivered a lot less bad news because so little could be measured with any degree of confidence. In 2019, we can measure the crap out of so much. The conversion rate is down 30% at launch. Why be hurtin’? It is a lot of stuff!

Measurement 79

Measurement Strategy Data Processing Uncertainty 79

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Crucially, it takes into account the uncertainty inherent in our experiments. Figure 2: Spreading measurements out makes estimates of model (slope of line) more accurate.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Andrew White

APRIL 22, 2020

Emergency measures are undertaken with little planning. In this second phase executive leaders will need to make critical business decisions with even less data and with more uncertainty. See 2018 Won’t See a Massive Productivity Boost From AI – 2019 Might Show It. This period is characterized by immediate reactions to crisis.

Software 52

Software Uncertainty Measurement Marketing 52

Domino Data Lab

JUNE 2, 2019

Ludwig (@RandiRLudwig) May 23, 2019. Ludwig (@RandiRLudwig) May 24, 2019. Clearly, when we work with data and machine learning, we’re swimming in those waters of decision-making under uncertainty. — David Amable (@adelanyo) May 23, 2019. Measure how these decisions vary across your population.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Smart Data Collective

APRIL 18, 2019

In January, Masergy predicted that 2019 will be “The Year of Artificial Intelligence.” Uncertainties are a major roadblock in automating cybersecurity. The software developers can only automate what they’re certain about, and there is an enormous amount of uncertainty in the work at hand. The same goes for cybersecurity.

Behavioral Analytics 77

Behavioral Analytics Advertising Uncertainty Machine Learning 77

Rita Sallam

MAY 12, 2021

For the vendors that participate in the Bake-Off, it is in equal measure fun and extremely stressful. In 2019, we used loneliness and happiness data. Promise in richer countries that are far along in vaccine distribution and significant uncertainty for poorer countries that lag far behind. This year’s was too!!

Data Analytics 59

Data Analytics Analytics Measurement Uncertainty 59

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. These characteristics of the problem drive the forecasting approaches.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

O'Reilly on Data

JULY 20, 2021

In 2019, YouTube had to settle with the FTC for a $170 million fine for selling ads targeting children. This measurement of trust and risk is benefited by understanding who could be in front of the device. Children make identity and privacy especially tricky. About 40% of all households have a child.

Risk 304

Risk Software Interactive Modeling 304

Insight

FEBRUARY 19, 2020

In 2019, Netflix alone released 371 new TV shows and movies. The genre uniqueness is a measure of how unique a movie’s combination of genre categories is relative to all movies in my data set. Box office revenue would likely also be a more concrete measure of success than average IMDb user rating.

Risk 67

Risk ROI Modeling Metrics 67

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 27

Statistics Uncertainty Risk Marketing 27

datapine

DECEMBER 28, 2021

With the rise of advanced technology and globalized operations, statistical analyses grant businesses an insight into solving the extreme uncertainties of the market. These controlling measures are essential and should be part of any experiment or survey – unfortunately, that isn’t always the case. degrees Fahrenheit.

Statistics 363

Statistics Advertising Visualization Data mining 363