Forecasting uncertainty at Airbnb

O'Reilly on Data

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

Cones of Uncertainty and Certainty and Organizational Change

Perficient Data & Analytics

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.

They (EMC) Think You Are Stupid!


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

They (EMC) Think You Are Stupid!


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

Highlights from the Strata Data Conference in San Francisco 2019

O'Reilly on Data

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.

How to improve manufacturing ROI with prescriptive analytics

IBM Big Data Hub

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

Interview with Abhi Datta

Simply Statistics

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.

The Future of Data and Analytics is Now

Andrew White

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.”.

The Promise of AI and 5G Convergence in the Internet of Context

Kirk Borne

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

Tamr Unify’s Classification Engine Gets Smarter with Active Learning


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.

Machine Learning Product Management: Lessons Learned

Domino Data Lab

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.

Enhance your Lending with Predictive Analytics


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.

The trinity of errors in financial models: An introductory analysis using TensorFlow Probability

O'Reilly on Data

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.

The Inside Scoop on Upcoming Documentary "Data Science Pioneers"


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.

How Analytics by Design Tackles The Yin and Yang of Metrics and Data

Kirk Borne

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”.

The Netflix Data War

Simply Statistics

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.

Hackers beware: Bootstrap sampling may be harmful

Data Science and Beyond

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.

How Data Scientists Think - A Mini Case Study

Simply Statistics

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.

2019 Analytics and BI Magic Quadrant: Are You Using Responsibly?

Cindi Howson

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?

The complex process of obtaining Puerto Rico mortality data: a timeline

Simply Statistics

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.

Excel for Inventory Management is Risky

Jet Global

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.

How Skullcandy Uses Predictive and Sentiment Analysis to Understand Customers


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.

In 2018, Data Will Put the Human Back into Human Experience – Part 1

Kirk Borne

The Impact Of AI On Cybersecurity: Are Humans Still Your Best Asset?

Smart Data Collective

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.

Data in the Modern Space Age

Kirk Borne

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.

Cloudera + Hortonworks, from the Edge to AI


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.

Themes and Conferences per Pacoid, Episode 10

Domino Data Lab

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.

Big Impact from Small Data – Part 1

Kirk Borne

3 Steps to Building a Data-Driven Culture


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. .

In 2018, Data Will Put the Human Back into Human Experience – Part 2

Kirk Borne

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.

Ethical Data Sensemaking

Perceptual Edge

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.

AI Leads To A New Era Of Single Touch Payroll Solutions

Smart Data Collective

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.

Big Impact from Small Data – Part 2

Kirk Borne

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.

Estimating the prevalence of rare events — theory and practice

The Unofficial Google Data Science Blog

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).

The Luck of The Irish: The Rise in Air Traffic & Irish Economic Growth


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.

The Real Power of AI

Kirk Borne

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.

Why CEOs should test big digital business ideas in tiny countries.

Mark Raskino

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.

Data Governance and Security: How to Put Data at the Heart of Your Business Strategy


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.

The Role of Theory in Data Analysis

Simply Statistics

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.

Turn Up the Signal; Turn Off the Noise

Perceptual Edge

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.