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

O'Reilly on Data

OCTOBER 13, 2020

From a technical perspective, it is entirely possible for ML systems to function on wildly different data. For example, you can ask an ML model to make an inference on data taken from a distribution very different from what it was trained on—but that, of course, results in unpredictable and often undesired performance. I/O validation.

Management 308

Management Machine Learning Metrics Modeling 308

CIO Business Intelligence

MARCH 14, 2022

In How to Measure Anything , Douglas Hubbard offers an alternative definition of “measurement” to the Oxford English Dictionary’s “the size, length, or amount of something.” Hubbard defines measurement as: “A quantitatively expressed reduction of uncertainty based on one or more observations.”.

Uncertainty 105

Uncertainty Measurement Cost-Benefit Optimization 105

CIO Business Intelligence

OCTOBER 4, 2022

From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. Data architecture coherence. Putting data in the hands of the people that need it.

Machine Learning 118

Machine Learning Data Architecture Uncertainty Data-driven 118

datapine

MAY 31, 2022

It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs. Security issues.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

Smart Data Collective

AUGUST 19, 2021

Data is the backbone of effective digital marketing, and content is not just king; it is the entire royal family. Businesses worldwide, especially SaaS businesses, have discovered that smart, measurable content marketing is the key to achieving their business goals. Then, you can simply plan, create, measure, optimize and repeat.

Marketing 134

Marketing Analytics Measurement Optimization 134

Occam's Razor

APRIL 8, 2013

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. First, you figure out what you want to improve; then you create an experiment; then you run the experiment; then you measure the results and decide what to do.

Metrics 157

Metrics KPI Analytics Key Performance Indicator 157

CIO Business Intelligence

JUNE 8, 2022

Digital disruption, global pandemic, geopolitical crises, economic uncertainty — volatility has thrown into question time-honored beliefs about how best to lead IT. Thriving amid uncertainty means staying flexible, he argues. . CIOs need to understand the data behind the success or failure of technology,” Chandarana says.

IT 133

IT Cost-Benefit Uncertainty Digital Transformation 133

Smart Data Collective

APRIL 18, 2019

There’s no question that the term is popping up everywhere as enterprises yearn to turn big data into a competitive edge. They must still ingest and evaluate security data and verify that the cloud provider is doing their job correctly. Uncertainties are a major roadblock in automating cybersecurity. That’s the best approach.

Behavioral Analytics 98

Behavioral Analytics Advertising Uncertainty Machine Learning 98

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. But looking through the blogosphere, some go further and posit that “platformization” of forecasting and “forecasting as a service” can turn anyone into a data scientist at the push of a button.

Forecasting 115

Forecasting Data Science Statistics Uncertainty 115

CIO Business Intelligence

FEBRUARY 8, 2024

The global IT services industry is at a significant crossroads, with the explosive growth of generative AI and deepening economic uncertainties reshaping its future. Although there are efforts to boost industries such as semiconductors, there is much uncertainty about when the impact may be seen.

IT 98

IT Uncertainty Consulting Forecasting 98

Domino Data Lab

JUNE 2, 2019

Co-chair Paco Nathan provides highlights of Rev 2 , a data science leaders summit. We held Rev 2 May 23-24 in NYC, as the place where “data science leaders and their teams come to learn from each other.” Nick Elprin, CEO and co-founder of Domino Data Lab. First item on our checklist: did Rev 2 address how to lead data teams?

Data Science 110

Data Science Data-driven Machine Learning Modeling 110

CIO Business Intelligence

OCTOBER 25, 2023

HAR files often contain sensitive data that malicious actors can use to imitate valid users. Unauthorized access to user accounts and sensitive information becomes a significant concern, leading to potential data breaches, financial loss, and unauthorized activity. When an IdP is compromised, the consequences can be severe.

Uncertainty 143

Uncertainty Measurement Data-driven Reporting 143

Sisense

OCTOBER 6, 2020

Digging into quantitative data Why is quantitative data important What are the problems with quantitative data Exploring qualitative data Qualitative data benefits Getting the most from qualitative data Better together. Almost every modern organization is now a data-generating machine. or “how often?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

IBM Big Data Hub

MAY 24, 2023

In an era of evolving consumer preferences and economic uncertainties, the beverage industry stands as a vibrant reflection of changing trends and shifting priorities. Data-driven insights and informed decision-making As with any transformative endeavor, data and data-driven insights will be paramount in Diageo’s journey.

Digital Transformation 78

Digital Transformation Consulting Data-driven Uncertainty 78

Jet Global

OCTOBER 8, 2020

Most operational finance activities are driven by the month end and ledger close, typically involving a web of steps including transaction processing, reconciliation, journal entry capture, and financial statement preparation. Tip 3: Make decisions with operational data. Tip 1: Overcoming month-end inefficiencies.

Finance 98

Finance Reporting Forecasting Uncertainty 98

CIO Business Intelligence

FEBRUARY 23, 2023

The steady march toward every app doing some data-driven work on behalf of the customer in the very moment that it matters most—whether that’s a spot-on “next best action” recommendation or a delivery time guarantee—isn’t going to stop. Netflix uses session data to customize the artwork you see in real time.

Uncertainty 98

Uncertainty Strategy Data-driven Machine Learning 98

Sisense

MARCH 26, 2020

We provide actionable advice around how organizations, and ultimately the builders of data and analytic apps, are adapting to meet these changes. To effectively identify what measures need to be taken, analytics can help to summarize and predict how companies should evolve to survive in a challenging environment.

Management 91

Management Cost-Benefit Uncertainty Digital Transformation 91

CDW Research Hub

OCTOBER 19, 2021

Sirius’ services and solutions capabilities in key growth areas, including Hybrid Infrastructure, Security, Digital and Data Innovation, and Cloud and Managed Services, will enhance the breadth and depth of CDW’s services and solutions offerings. “As Sirius and CDW share common values and a performance-driven, customer-focused culture.

Uncertainty 102

Uncertainty Sales Finance Cost-Benefit 102

Data Insight

APRIL 8, 2020

During these unprecedented times, it’s more important than ever for businesses to be data-driven. Analysis and data, can help businesses understand and respond to market changes, and predict and plan for how things may change in the future. We’ve outlined the four key data-driven phases that businesses should be considering.

Key Performance Indicator 52

Key Performance Indicator Analytics Measurement Uncertainty 52

CIO Business Intelligence

NOVEMBER 17, 2022

In particular, throughout her 20-year career, Drake has often been chastised for being too friendly, an unfamiliar quality perhaps in a results-driven business world. “A Drake says THG has built the platform in four of its data centres so far, allowing developers to build new platforms on ICE, and migrate existing THG workloads onto it.

Technology 109

Technology Consulting Uncertainty Data Processing 109

Occam's Razor

JULY 12, 2010

I want to constantly be in the know of new and more clever ways of working with data, tools that are often solutions to problems we don't know we have yet or tools that are sometimes seeking problems to solve!! Well not crap… lots of data that no one cared about or actioned. More desire to be data driven.

Analytics 97

Analytics Measurement Metrics KPI 97

IBM Big Data Hub

FEBRUARY 20, 2024

These proactive measures are made possible by evolving technologies designed to help people adapt to the effects of climate change today. 5 The Global Disaster Preparedness Center recommends policymakers and others adopt a range of measures to help their regions adapt to higher heat. millimeters (0.1 inches) per year to 3.4

Forecasting 113

Forecasting Modeling Reporting Risk 113

Sisense

SEPTEMBER 9, 2019

Mark’s team is constantly adapting to and meeting the challenges of a rapidly evolving business using cloud technologies, real-time analytics, data warehousing, and virtualization. What if we could use this data to focus our resources and deliver better products? Using Sentiment Analytics to Inform New Product Design Decisions.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Data-driven Forecasting 75

bridgei2i

JULY 8, 2020

This is probably the first time ever that we are witnessing a demand, a supply, and also a resource uncertainty. And if you’re a banker or an insurer, you’re probably busy figuring out how to measure these risks, mobilize these resources, and fund capital that’s going to provide strong growth. These are strange times.

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

IBM Big Data Hub

APRIL 20, 2023

A Process Mining exercise drawing data from enterprise SAP has helped measure KPI performance and define the transformation roadmap. This technology-driven process visualization is revolutionizing the way we look at processes.

KPI 66

KPI Consulting Finance Enterprise 66

CIO Business Intelligence

JANUARY 12, 2023

In many ways, the manufacturing industry stands on edge—emerging from a pandemic and facing all-time highs in demand yet teetering on inflation-related economic uncertainty and coping with skilled labor shortages. With edge computing, those functions are performed much closer to where the data is created, such as on the factory floor.

Manufacturing 75

Manufacturing Technology IoT Internet of Things 75

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

Jet Global

JULY 21, 2020

Be prepared to challenge any data points in the cash flow projection that are driven by an assumption that “business as usual“ will return quickly. As already noted, for example, sales pipeline data needs to be accurate and up to date. First, it means that data must be pulled from multiple sources, including ERP and CRM.

Management 64

Management Sales Forecasting Measurement 64

Domino Data Lab

JUNE 23, 2019

Skomoroch advocates that organizations consider installing product leaders with data expertise and ML-oriented intuition (i.e., Companies with successful ML projects are often companies that already have an experimental culture in place as well as analytics that enable them to learn from data. A few highlights from the session include.

Management 110

Management Machine Learning Experimentation Metrics 110

Sisense

JUNE 24, 2020

Time to make your data work for you. In Hacking the Analytic App Economy , we show you how to build a data monetization strategy that leverages your company’s data to open new revenue opportunities, drive value, and help you thrive in the new era of analytic apps. Is your analytic app a product or service?

Analytics 52

Analytics Cost-Benefit Consulting Strategy 52

CIO Business Intelligence

JANUARY 4, 2023

Cloud, sustainability, scale, and exponential data growth—these major factors that set the tone for high performance computing (HPC) in 2022 will also be key in driving innovation for 2023. As leaders in the HPC industry, we are worried about how to cool these data centers. Another big focus is on liquid cooling. [2]

Cost-Benefit 59

Cost-Benefit Machine Learning Uncertainty Modeling 59

Cloudera

NOVEMBER 19, 2018

One of Cloudera’s partners offers “Sustainability Services” with a goal of assisting organizations in turning costs and risks associated with changing regulatory and workforce environments, as well as supply chain uncertainties and volatile markets, into business opportunities.

Digital Transformation 40

Digital Transformation IoT Cost-Benefit Uncertainty 40

Alation

JUNE 14, 2023

Every organization wants to better serve its customers, and that goal is often achieved through data. Situationally, it was a really good time to deploy a data mesh architecture and its principles and invest in this space because we were doing so much tech modernization,” Lavorini says. “So So why not make data a part of it?”

Data-driven 52

Data-driven Finance Uncertainty Data Warehouse 52

Peter James Thomas

AUGUST 12, 2018

These normally appear at the end of an article, but it seemed to make sense to start with them in this case: Recently I published Building Momentum – How to begin becoming a Data-driven Organisation. A number of factors can play into the accuracy of data capture. Honesty of Data that is captured. Timing issues with Data.

Metrics 49

Metrics Statistics Data Quality Measurement 49

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. AI and machine learning will help, along with other data and analytics capabilities. Data, analytics and AI.

Software 52

Software Uncertainty Measurement Marketing 52

The Unofficial Google Data Science Blog

OCTOBER 21, 2015

by NIALL CARDIN, OMKAR MURALIDHARAN, and AMIR NAJMI When working with complex systems or phenomena, the data scientist must often operate with incomplete and provisional understanding, even as she works to advance the state of knowledge. There has been debate as to whether the term “data science” is necessary. Some don’t see the point.

Slice and Dice 46

Slice and Dice Experimentation Data Science Data-driven 46