The Unofficial Google Data Science Blog

DECEMBER 14, 2021

by AMIR NAJMI & MUKUND SUNDARARAJAN Data science is about decision making under uncertainty. Some of that uncertainty is the result of statistical inference, i.e., using a finite sample of observations for estimation. But there are other kinds of uncertainty, at least as important, that are not statistical in nature.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

Rocket-Powered Data Science

JULY 19, 2023

That is not a totally clear separation and distinction, but it might help to clarify their different applications of data science. Data scientists work with business users to define and learn the rules by which precursor analytics models produce high-accuracy early warnings.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

Domino Data Lab

FEBRUARY 20, 2019

Eugene Mandel , Head of Product at Superconductive Health , recently dropped by Domino HQ to candidly discuss cross-team collaboration within data science. Eugene Mandel , Head of Product at Superconductive Health , recently dropped by Domino HQ to discuss cross-team collaboration within data science.

Data Science 76

Data Science Testing Software Uncertainty 76

O'Reilly on Data

OCTOBER 13, 2020

To support verification in these areas, a product manager must first ensure that the AI system is capable of reporting back to the product team about its performance and usefulness over time. Returning to previous anti-bias and AI transparency tools such as Model Cards for Model Reporting (Timnit Gebru, et al.)

Management 314

Management Machine Learning Metrics Modeling 314

DataRobot

AUGUST 5, 2021

The auditor’s report contained both good news and bad news. In behavioral science this is known as the blemish frame , where a small negative provides a frame of comparison to much stronger positives, strengthening the positive messaging. AI and Uncertainty. Some people react to the uncertainty with fear and suspicion.

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Uncertainty Sales Risk Statistics 98

CIO Business Intelligence

OCTOBER 8, 2024

By Bryan Kirschner, Vice President, Strategy at DataStax Data scientists have long struggled with silos and cycle time. That’s partly because of an underlying structural tension between the traditional data science mission of turning “data into insights” versus the on-the-ground game of turning “context into action.”

Unstructured Data 117

Unstructured Data Data Science Uncertainty Sales 117

CIO Business Intelligence

JANUARY 10, 2023

Because of economic uncertainty, about 40% of CIOs slowed hiring as 2022 wound down, and about 30% experienced hiring freezes. Based on Gartner data, the overall supply of tech workers has increased only by a few percentage points at most. Recent layoffs from digital companies will ease but not solve the talent challenge,” Mok says.

IT 131

IT Uncertainty Data Science Marketing 131

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. Data-driven DSS.

Data mining 144

Data mining Data-driven Statistics OLAP 144

CIO Business Intelligence

MARCH 19, 2024

It has already delayed publication of the results once to give its auditors additional time to examine an independent business review report and to complete their audit of non-cash goodwill impairment charges. Atos holds numerous contracts with the French Ministry of Defense.

Manufacturing 98

Manufacturing Uncertainty Big Data Sales 98

CIO Business Intelligence

MARCH 25, 2022

Two years of pandemic uncertainty and escalating business risk have sharpened the focus of corporate boards on a technology trend once dismissed as just another IT buzzword. And investment in digital transformation “has increased by more than 10%” during the past two years, according to Deloitte.

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Digital Transformation Machine Learning Uncertainty Strategy 115

CIO Business Intelligence

APRIL 28, 2022

However, many financial services companies still prefer to build their own data centers rather than leverage cloud solutions. Much of this reluctance stems from the regulatory environment, arising from lengthy reviews and approvals processes, or even simple near-term regulatory uncertainty. .

Analytics 98

Analytics Insurance Big Data Uncertainty 98

Data Science and Beyond

JULY 28, 2017

Ideally, I wanted a well-paid data science-y remote job with an established distributed tech company that offers a good life balance and makes products I care about. While data wrangler may sound less sexy than data scientist , reading the job ad led me to believe that the position may involve interesting data science work.

Data Science 81

Data Science Testing Measurement Uncertainty 81

Cloudera

OCTOBER 3, 2018

Cloudera offers the Cloudera Data Science Workbench (CDSW) and Workload Experience Manager (Workload XM). In the meantime, each of us also has unique product offerings. Hortonworks offers its Hortonworks DataFlow, or HDF, product for streaming and IoT workloads. Forward-Looking Statements.

Uncertainty 75

Uncertainty IoT Risk Reporting 75

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. Don’t compare confidence intervals visually.

Statistics 77

Statistics Uncertainty Testing Modeling 77

Cloudera

OCTOBER 27, 2020

Our goal is to take the incredible data science and machine learning research developments we see emerging from academia and large industrial labs, and bridge the gap to products and processes that are useful to practitioners working across industries. At Cloudera Fast Forward we work to make the recently possible useful.

Deep Learning 62

Deep Learning Machine Learning Forecasting Uncertainty 62

Sisense

SEPTEMBER 9, 2019

If you lack a data science team, integrating BigSquid with your open-platform BI tool is a powerful way to achieve the horsepower of data science while maintaining the ease of use that the average business user requires.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Data-driven Forecasting 75

Cloudera

NOVEMBER 18, 2021

By adopting a custom developed application based on the Cloudera ecosystem, Carrefour has combined the legacy systems into one platform which provides access to customer data in a single data lake. This, in turn, has had a positive impact on innovation and decision-making aimed at improving customer services and reporting. .

Data Lake 77

Data Lake Cost-Benefit Digital Transformation Risk 77

Jet Global

NOVEMBER 20, 2023

Unlock insights from ERP Data to Deliver Actionable Insights Let’s face it. With the volatility of the market and increasing uncertainties that arise within your business, you need actionable insights to contend with competitors buoyed by digital transformation efforts. It sure isn’t happening in the visualization layer!

Business Intelligence 52

Business Intelligence IT Operational Reporting Reporting 52

Smarten

JULY 18, 2022

By incorporating analytics into day-to-day activities and allowing access for business users, the business can encourage the transition from business user to Citizen Data Scientist and create a comprehensive system of analytics with governance and collaboration to ensure security, appropriate access, mobile use and fact-based decision-making.

Uncertainty 52

Uncertainty Predictive Analytics Forecasting Analytics 52

CIO Business Intelligence

FEBRUARY 14, 2024

While the past few years have left us with a business landscape scarred by the impact of economic and geopolitical uncertainties, the current AI movement has become a rocket ship for significant transformative changes set to accelerate new opportunities.

Data-driven 72

Data-driven Uncertainty Enterprise Data Warehouse 72

AWS Big Data

AUGUST 7, 2023

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. Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future.

Forecasting 98

Forecasting Data Warehouse Machine Learning Modeling 98

The Unofficial Google Data Science Blog

APRIL 23, 2024

Crucially, it takes into account the uncertainty inherent in our experiments. Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. It is a big picture approach, worthy of your consideration.

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Experimentation Optimization Uncertainty Metrics 52

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.

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96

The Unofficial Google Data Science Blog

MARCH 13, 2017

By MUKUND SUNDARARAJAN, ANKUR TALY, QIQI YAN Editor's note: Causal inference is central to answering questions in science, engineering and business and hence the topic has received particular attention on this blog. Technical Report 1341, University of Montreal, 2009. Visualizing higher-layer features of a deep network ".

IT 70

IT Visualization Modeling Uncertainty 70

Peter James Thomas

JUNE 20, 2019

The above chart compares monthly searches for Business Process Reengineering (including its arguable rebranding as Business Transformation ) and monthly searches for Data Science between 2004 and 2019. Here we come back to the upward trend in searches for Data Science. The scope is worldwide. Brunel’s Heirs.

Cost-Benefit 55

Cost-Benefit Data Warehouse Data Science Consulting 55

IBM Big Data Hub

APRIL 18, 2024

Nearly all respondents reported promising early results from gen AI experiments and planned to increase their spending in 2024 to support production workloads. Here are some areas where organizations are seeing a ROI: Text (83%) : Gen AI assists with automating tasks like report writing, document summarization and marketing copy generation.

Cost-Benefit 89

Cost-Benefit Manufacturing Modeling Interactive 89

bridgei2i

JUNE 3, 2020

Consumers feel threatened by the prolonged uncertainty, not having had to deal with anything like it, in their lives. Forecasting models have to be created keeping in mind this uncertainty, and key indicators need to be identified for early detection. COVID-19 as a social zeitgeist and its impact on the consumer psyche (Gartner).

Manufacturing 52

Manufacturing Forecasting Uncertainty Digital Transformation 52

The Unofficial Google Data Science Blog

APRIL 17, 2017

Quantification of forecast uncertainty via simulation-based prediction intervals. We conclude with an example of our forecasting routine applied to publicly available Turkish Electricity data. Prediction Intervals A statistical forecasting system should not lack uncertainty quantification. 2014): 276. [7] 8] De Livera, Alysha M.,

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

The Unofficial Google Data Science Blog

JULY 11, 2017

SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. Introduction Time series data appear in a surprising number of applications, ranging from business, to the physical and social sciences, to health, medicine, and engineering.

Forecasting 66

Forecasting Statistics Modeling Software 66

Peter James Thomas

AUGUST 12, 2018

Of course the problem is then that Financial Reports (or indeed most Management Reports) are not set up to cope with plus or minus figures, so typically one of £12.4 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.

Statistics 49

Statistics Metrics Data Quality Measurement 49

The Unofficial Google Data Science Blog

MAY 31, 2016

Caution is needed, however, to use the weights: when the pre-test period volume of a geo are close to zero, the weights may be large (this usually reflects an issue with data reporting). It is critical to apply appropriate diagnostics to the data and to the model fit before and after the test.

Advertising 43

Advertising Testing Sales Statistics 43

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Jet Global

MARCH 2, 2021

Yardi offers a variety of different tools for reporting; unfortunately, each has its own unique shortcomings. Reporting in Yardi: the Default Options. There are no options for modifying the format of these reports, and in many cases, they may only provide a subset of results.

Reporting 98

Reporting Slice and Dice Finance Operational Reporting 98

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

IoT 25

IoT Big Data Data Warehouse Uncertainty 25

CIO Business Intelligence

JULY 10, 2024

According to a McKinsey report released in May, 65% of organizations have adopted gen AI in at least one business function, up from 33% last year. Hyperscalers are stepping up Tommi Vilkamo is the director of Relex Labs at supply chain software company Relex, where he heads a large, centralized data science team.

Enterprise 136

Enterprise Risk Modeling Risk Management 136

Insight

FEBRUARY 19, 2020

Using variability in machine learning predictions as a proxy for risk can help studio executives and producers decide whether or not to green light a film project Photo by Kyle Smith on Unsplash Originally posted on Toward Data Science. Are you interested in working on high-impact projects and transitioning to a career in data?

Risk 67

Risk ROI Modeling Metrics 67

CIO Business Intelligence

DECEMBER 31, 2024

Too often, however, change management is treated as an afterthought, observes Munir Hafez, senior vice president and CIO at consumer credit reporting agency TransUnion. IT leaders must understand that times of uncertainty will arise as they work toward implementing the correct strategy.

Management 139

Management Key Performance Indicator Business Objectives Digital Transformation 139