O'Reilly on Data

MARCH 28, 2019

Continue reading Forecasting uncertainty at Airbnb Theresa Johnson outlines the AI powering Airbnb’s metrics forecasting platform.

Uncertainty 144

Uncertainty Forecasting Metrics 144

Perficient Data & Analytics

JUNE 1, 2018

This concept, known as the Cone of Uncertainty , is found in many industries including software development, project management, construction and risk management. This cone is a mirror image of the Cone of Uncertainty, but increases at the same time that the Cone of Uncertainty decreases.

Uncertainty 63

Uncertainty Risk Management Software Metrics 63

Nutanix

JULY 12, 2019

Last week we were invited by EMC to punch high above our weight class when we got hold of their secret FUD (fear, uncertainty, and doubt) sheet against Nutanix

Uncertainty 52

Uncertainty 52

Nutanix

SEPTEMBER 1, 2019

Last week we were invited by EMC to punch high above our weight class when we got hold of their secret FUD (fear, uncertainty, and doubt) sheet against Nutanix

Uncertainty 40

Uncertainty 40

O'Reilly on Data

MARCH 27, 2019

Forecasting uncertainty at Airbnb. Watch " Forecasting uncertainty at Airbnb.". Watch highlights from expert talks covering AI, machine learning, data analytics, and more. People from across the data world are coming together in San Francisco for the Strata Data Conference.

Uncertainty 235

Uncertainty Forecasting Data Science Machine Learning 235

IBM Big Data Hub

SEPTEMBER 11, 2018

Today's manufacturing organizations operate in a dynamic environment characterized by increased complexity and uncertainty. The financial performance of manufacturers hinges on their ability to rapidly adapt to constantly-changing conditions, from demand fluctuations to delivery challenges while managing production costs efficiently. Prescriptive analytics helps companies see where process improvements could have the biggest, most immediate impact on their bottom line

Prescriptive Analytics 71

Prescriptive Analytics ROI Uncertainty Manufacturing 71

Simply Statistics

MARCH 31, 2019

We used the fast NNGP approach I had been developing in my PhD to spatially gap-fill the plant trait data to create a global map of important plant traits with proper uncertainty quantification. Currently, we are looking at ways to incorporate the uncertainty quantified trait values as inputs to Earth System Models (ESMs) – the land component of climate models. Editor’s note: This is the next in our series of interviews with early career statisticians and data scientists.

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Statistics Uncertainty Modeling Finance 143

Andrew White

MARCH 11, 2019

In this world of ambiguity — characterized by uncertainty, risk, doubt and fake news — now is the time to lead with purpose and bring clarity through data and analytics (D&A) you can rely on and, most importantly, trust.”.

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Uncertainty Digital Transformation Risk Strategy 63

Kirk Borne

JULY 30, 2019

Written by Dr. Kirk Borne. In the world of digital transformation, there is no lack of “hot topics” to discuss. Emerging technologies are truly emerging everywhere. What is most exciting — and what demonstrates their greatest promise — is that these new technologies are converging.

IoT 114

IoT Contextual Data Uncertainty Forecasting 114

Tamr

MAY 23, 2019

Active learning eliminates the need for the user(s) to provide a balanced amount of training examples for each category in the dataset; it removes the uncertainty/iterations on how much training the model needs and which category needs it to accelerate model training.

Uncertainty 95

Uncertainty Machine Learning Modeling IT 95

Domino Data Lab

MAY 15, 2019

Addressing the Uncertainty that ML Adds to Product Roadmaps. As ML projects are more experimental and probabilistic in nature, they have the potential to “add uncertainty to product roadmaps.” This Domino Data Science Field Note covers Pete Skomoroch ’s recent Strata London talk.

Machine Learning 110

Machine Learning Management Experimentation Uncertainty 110

BizAcuity

MARCH 18, 2019

Credit scoring systems and predictive analytics model attempt to quantify uncertainty and provide guidance for identifying, measuring and monitoring risk. An unsecured loan is a loan issued and supported solely by the borrower’s creditworthiness, rather than by any kind of collateral.

Predictive Analytics 76

Predictive Analytics Uncertainty Data mining Risk 76

O'Reilly on Data

JANUARY 22, 2019

All models, therefore, need to quantify the uncertainty inherent in their predictions. These factors lead to profound epistemic uncertainty about model parameters. An exploration of three types of errors inherent in all financial models.

Modeling 161

Modeling Finance Uncertainty Broadcasting 161

Dataiku

AUGUST 14, 2019

The data science community is in a period of rapid change, and the upcoming documentary Data Science Pioneers - made by and for data scientists - will be the first to capture both this excitement and uncertainty.

Uncertainty 16

Uncertainty Data Science 16

Kirk Borne

MARCH 12, 2019

Written by Dr. Kirk Borne. We hear a lot of hype that says organizations should be “Data-first”, or “AI-first, or “Data-driven”, or “Technology-driven”.

Metrics 78

Metrics Experimentation Uncertainty ROI 78

Simply Statistics

DECEMBER 18, 2018

Yes, there are methods to balance differing levels of uncertainty, but some measurements are simply not good measurements. A recent article in the Wall Street Journal, “At Netflix, Who Wins When It’s Hollywood vs. the Algorithm?” ” by Shalini Ramachandran and Joe Flint details some of the internal debates within Netflix between the Los Angeles-based content team, which is in charge of developing and marketing new content for the streaming service, and the data team.

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Uncertainty Marketing Measurement Advertising 149

Data Science and Beyond

JANUARY 7, 2019

Therefore, bootstrapping has been promoted as an easy way of modelling uncertainty to hackers who don’t have much statistical knowledge. Confidence intervals are a common way of quantifying the uncertainty in an estimate of a population parameter.

Uncertainty 58

Uncertainty Testing Consulting Modeling 58

Simply Statistics

JANUARY 8, 2019

HILARY: At first I was thinking about that because I have location history on and I look at it a lot, but there’s also a fair degree of uncertainty there. within some bound of uncertainty? In episode 71 of Not So Standard Deviations , Hilary Parker and I inaugurated our first “Data Science Design Challenge” segment where we discussed how we would solve a given problem using data science.

Statistics 171

Statistics Uncertainty Data Collection Modeling 171

Cindi Howson

FEBRUARY 27, 2019

Someone asked if we thought about how the data is vague and the uncertainty of an MQ. Where there is some uncertainty perhaps is in what we choose to emphasize. The 2019 Analytics and BI Magic Quadrant published two weeks ago. Are you using it responsibly?

Uncertainty 57

Uncertainty Publishing Marketing Interactive 57

Simply Statistics

SEPTEMBER 27, 2018

Despite our best efforts, including rewriting our university’s press release, most headlines focus on the point estimate and don’t report uncertainty. May 31 - We post an FAQ (in English and Spanish) explaining the uncertainty in our estimate and making it clear that our study does not say that 4645 (the point estimate) people died.

Uncertainty 110

Uncertainty Publishing Reporting Statistics 110

Jet Global

JULY 17, 2019

While this can be avoided with a strict set of rules and backups in place, it still causes a lot of complication and uncertainty to those involved in planning and management. Almost every small business starting out relies on Microsoft Excel to manage separate business functions.

Management 66

Management Uncertainty Risk Sales 66

Sisense

SEPTEMBER 9, 2019

Here at Skullcandy, we’re happy to report that “dropping in” to the predictive and sentiment analytics game was worth the initial uncertainty. Mark Hopkins is the Chief Information Officer at Park City, Utah based Skullcandy, leading the global IT, Digital, and Customer Service teams.

Uncertainty 65

Uncertainty Forecasting Predictive Modeling Modeling 65

Kirk Borne

FEBRUARY 7, 2018

Uncertainty 93

Uncertainty Experimentation Risk Measurement 93

Smart Data Collective

APRIL 18, 2019

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. In January, Masergy predicted that 2019 will be “The Year of Artificial Intelligence.” There’s no question that the term is popping up everywhere as enterprises yearn to turn big data into a competitive edge. The same goes for cybersecurity.

Uncertainty 59

Uncertainty Behavioral Analytics Advertising Technology 59

Kirk Borne

APRIL 18, 2018

It has been said that any technology sufficiently advanced will look like magic. In the 1960’s, a variety of television shows delighted and entertained their audiences with exotic technological devices and fanciful futuristic automated assistants that helped humans at work, at home, and at play.

Slice and Dice 56

Slice and Dice Uncertainty Deep Learning Risk 56

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.

Uncertainty 83

Uncertainty Risk Reporting Internet of Things 83

Domino Data Lab

JUNE 2, 2019

Clearly, when we work with data and machine learning, we’re swimming in those waters of decision-making under uncertainty. Co-chair Paco Nathan provides highlights of Rev 2 , a data science leaders summit. Introduction.

Uncertainty 104

Uncertainty Prescriptive Analytics Data Processing Metrics 104

Kirk Borne

JUNE 26, 2018

Uncertainty 52

Uncertainty Big Data Data Collection Marketing 52

Tamr

AUGUST 29, 2019

Protecting data by limiting access to it: Controlling data access on a need-to-know-only basis reflects an organization’s uncertainty as it pertains to data quality. .

Data-driven 52

Data-driven Uncertainty Enterprise Data Quality 52

Kirk Borne

FEBRUARY 14, 2018

In this, the second part of the latest in a series exclusive to Data Makes Possible , Dr. Kirk Borne, Principal Data Scientist for Booz Allen Hamilton, adds onto his explanation of the value proposition of improved human experience in the digital enterprise. If you missed Part 1, read it here.

Uncertainty 52

Uncertainty Experimentation Interactive ROI 52

Perceptual Edge

JULY 22, 2019

You should describe the uncertainty of your findings. Simply stated, data sensemaking is what we do to make sense of data. We do this in an attempt to understand the world, based on empirical evidence. Those who work to make sense of data and communicate their findings are data sensemakers. Data sensemaking, as a profession, is currently associated with several job titles, including data analyst, business intelligence professional, statistician, and data scientist.

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Uncertainty Sales Statistics Business Intelligence 64

Smart Data Collective

JULY 24, 2019

Every time an established process or formula is changed, it’s usually met with a little bit of uncertainty. Artificial intelligence is changing the nature of payroll.

Uncertainty 67

Uncertainty Reporting Big Data Software 67

Kirk Borne

JULY 16, 2018

In this, the second part of the latest in a series exclusive to Data Makes Possible , Dr. Kirk Borne, Principal Data Scientist for Booz Allen Hamilton, adds onto his explanation of the value proposition of small data points with a set of real-world examples. If you missed Part 1, read it here.

Uncertainty 52

Uncertainty Measurement Marketing Risk 52

The Unofficial Google Data Science Blog

AUGUST 27, 2019

The bucketing method also changes the importance sampling to a stratified sampling setting, and allows us to use binomial confidence intervals to estimate the uncertainty of our estimate (more on that later).

Metrics 72

Metrics Uncertainty Statistics Optimization 72

Sisense

MAY 16, 2019

report is a great illustration of how Ireland has ridden the waves of economic uncertainty and emerged successfully. Oh, wonderful Ireland! The Emerald Isle, famed for her lush green land, her stunning rugged, dramatic western coast and her beautiful, historic, cities.

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Uncertainty Reporting Dashboards Measurement 70

Kirk Borne

FEBRUARY 28, 2018

These forward-looking statements are subject to risks and uncertainties that could cause actual results to differ materially from those expressed in the forward-looking statements, including development challenges or delays, changes in markets, demand, global economic conditions and other risks and uncertainties listed in Western Digital Corporation’s most recent quarterly and annual reports filed with the Securities and Exchange Commission, to which your attention is directed.

Uncertainty 53

Uncertainty Marketing Manufacturing ROI 53

Mark Raskino

AUGUST 30, 2017

He was talking about something we call the ‘compound uncertainty’ that must be navigated when we want to test and introduce a real breakthrough digital business idea. Last week the very first regular commercial drone delivery service commenced.

Testing 52

Testing Uncertainty Experimentation Risk 52

Cloudera

JULY 25, 2019

Your organization may be laboring in this fog of uncertainty, as well. Not a day goes by without an article in the news about data security, or who has gathered and potentially shared data.

Data Governance 68

Data Governance Strategy Risk Uncertainty 68

Simply Statistics

DECEMBER 10, 2018

In warfare, Clauswitz acknowledges that there are significant uncertainties that every general encounters and that the role of any theory should be to “educate the mind of the future commander…not to accompany him to the battlefield.” In data analysis, we make use of a lot of theory, whether we like to admit it or not.

Experimentation 127

Experimentation Statistics Uncertainty Optimization 127

Perceptual Edge

APRIL 21, 2019

For example, a research paper that claims a strong relationship between two variables might refrain from revealing the actual data on which those claims were supposedly based in favor of a statistical model that replaced a great deal of volatility and uncertainty in the relationship, which could be seen in the actual data, with a perfectly smooth and seemingly certain portrayal of that relationship.

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Visualization Uncertainty Statistics Modeling 65