Cloudera

DECEMBER 3, 2021

This involves identifying, quantifying and being able to measure ethical considerations while balancing these with performance objectives. Systems should be designed with bias, causality and uncertainty in mind. Uncertainty is a measure of our confidence in the predictions made by a system. System Design. Model Drift.

Uncertainty 103

Uncertainty Measurement Metrics Risk 103

Smart Data Collective

AUGUST 19, 2021

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. Several metrics exist to help you figure this out. Measure the impact of decisions.

Marketing 134

Marketing Analytics Measurement Optimization 134

The Unofficial Google Data Science Blog

JULY 18, 2023

E ven after we account for disagreement, human ratings may not measure exactly what we want to measure. Researchers and practitioners have been using human-labeled data for many years, trying to understand all sorts of abstract concepts that we could not measure otherwise. That’s the focus of this blog post.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

CIO Business Intelligence

SEPTEMBER 20, 2023

They are afraid of failure and the uncertainty of knowledge work, and so that’s stressful. Agile is an amazing risk management tool for managing uncertainty, but that’s not always obvious.” The key is recognizing that planning must be an agile discipline, not a standalone activity performed independently of agile teams.

Digital Transformation 135

Digital Transformation Uncertainty Metrics Business Objectives 135

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. . Demand transparency on everything — especially on metrics — and be transparent back.

IT 133

IT Cost-Benefit Uncertainty Digital Transformation 133

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast. Tactical vs strategic forecasts Forecasting problems may be usefully characterized on a continuum between tactical on the one hand, and strategic on the other. These characteristics of the problem drive the forecasting approaches.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Jet Global

MARCH 27, 2020

Now that every industry is facing a prolonged period of uncertainty, having access to accurate, up-to-date information is more critical than ever. With so much uncertainty on the horizon, everyone in the construction industry needs to be at the top of their game , especially in terms of finance and accounting. Bonding Capacity.

Uncertainty 64

Uncertainty Metrics Finance Measurement 64

Jet Global

JUNE 23, 2020

As companies grapple with economic shutdowns, plummeting revenues, market instability, and economic uncertainty now and into the foreseeable future, they need financial insights more than ever before. It’s exactly the kind of capability companies need to move forward with any measure of clarity and confidence.

Reporting 98

Reporting Uncertainty Metrics Measurement 98

IBM Big Data Hub

SEPTEMBER 11, 2023

Government executives face several uncertainties as they embark on their journeys of modernization. How to quantify the impact : Quantify, articulate and measure the expected long-term benefit of a capability to justify the investment. The pain point tracker clusters the foundational data in which value metrics are then applied.

Data-driven 85

Data-driven IT Measurement Cost-Benefit 85

AWS Big Data

SEPTEMBER 5, 2024

Although the absolute metrics of the sparse vector model can’t surpass those of the best dense vector models, it possesses unique and advantageous characteristics. Performance evaluation of retrieval In RAG knowledge retrieval, we usually focus on the relevance of top results, so our evaluation uses recall@4 as the metric indicator.

Metrics 103

Metrics Testing Experimentation Modeling 103

Jet Global

OCTOBER 8, 2020

And it’s possible to become lost in the minutiae of the many different metrics available to measure an organisation’s AR capabilities. Analysing the necessary data is a massive undertaking, and one that can draw finance professionals away from other tasks.

Finance 98

Finance Reporting Forecasting Metrics 98

Sisense

MARCH 26, 2020

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. Now is the time to apply the full force of business intelligence used by analytics teams to help navigate growing uncertainty. While companies such as Adobe Inc.,

Management 91

Management Cost-Benefit Uncertainty Digital Transformation 91

Occam's Razor

JULY 12, 2010

Let's go look at some tools… Measuring "Invisible Virality": Tynt. Please click on the above image for a higher resolution version , including all the other metrics.]. It measures how often a blog post is tweeted/retweeted. It measures how often a blog post is tweeted/retweeted. People matter.

Analytics 97

Analytics Measurement Metrics KPI 97

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. the fraction of video recommendations resulted in positive user experiences).

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

CIO Business Intelligence

DECEMBER 31, 2024

As AI technologies evolve, organizations can utilize frameworks to measure short-term ROI from AI initiatives against key performance indicators (KPIs) linked to business objectives, says Soumendra Mohanty, chief strategy officer at data science and AI solutions provider Tredence. You get what you measure, she says.

Management 105

Management Key Performance Indicator Business Objectives Digital Transformation 105

The Unofficial Google Data Science Blog

AUGUST 27, 2019

Of course, any mistakes by the reviewers would propagate to the accuracy of the metrics, and the metrics calculation should take into account human errors. If we could separate bad videos from good videos perfectly, we could simply calculate the metrics directly without sampling. The missing verdicts create two problems.

Metrics 98

Metrics Statistics Uncertainty Optimization 98

datapine

SEPTEMBER 4, 2023

Not only is each flight color-coded by the airline, but this short movie-style visualization has transformed flight-based metrics into a piece of art that shows the path of each flight in action. A glorious example of numerical metrics transformed into something accessible, engaging, and informational for everyone.

Interactive 264

Interactive Visualization Cost-Benefit Dashboards 264

Smart Data Collective

JULY 1, 2023

Consistency and agreement Establish an agreement metric (e.g., Cohen’s Kappa) to measure inter-annotator agreement. Address their questions and clarify any uncertainties promptly. This helps ensure consistency among annotators and identifies areas of ambiguity in guidelines that need improvement.

Machine Learning 67

Machine Learning Metrics Uncertainty Deep Learning 67

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

CIO Business Intelligence

NOVEMBER 12, 2024

Cultivating high-performance teams , recruiting leaders, retaining talent, and continuously improving digital KPIs are hallmarks of strong IT cultures — but their metrics lag the CIO’s culture-improving programs. When changes are made without transparency or input from the team, it breeds uncertainty and resentment.

IT 140

IT Digital Transformation Management Experimentation 140

Jedox

DECEMBER 17, 2020

As businesses around the world look to move past the uncertainty and unprecedented change of 2020 and toward a fresh start in 2021, the discussion around FP&A maturity has been renewed. A: “The maturity curve is essentially a measure of efficacy for the FP&A function. It has two main purposes.

Uncertainty 57

Uncertainty Metrics Measurement Strategy 57

Domino Data Lab

JUNE 23, 2019

Ensure that product managers work on projects that matter to the business and/or are aligned to strategic company metrics. These measurement-obsessed companies have an advantage when it comes to AI. Another pattern that I’ve seen in good PMs is that they’re very metric-driven. That’s another pattern.

Management 110

Management Machine Learning Experimentation Metrics 110

Jet Global

MAY 5, 2020

Since the onset of the coronavirus crisis, businesses around the world are facing an unprecedented level of uncertainty. Most companies monitor some common metrics to make sure they are on track to maintain a sustainable level of cash into the foreseeable future. This is true of other metrics as well.

Management 69

Management Finance Sales Metrics 69

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. The most poignant for me was a simple approach for measuring noise within an organization. Measure how these decisions vary across your population. Worse than flipping a coin!

Data Science 110

Data Science Data-driven Machine Learning Modeling 110

The Unofficial Google Data Science Blog

APRIL 16, 2019

Such decisions involve an actual hypothesis test on specific metrics (e.g. Often, an established product will have an overall evaluation criterion (OEC) that incorporates trade-offs among important metrics and between short- and long-term success. The metrics to measure the impact of the change might not yet be established.

Experimentation 68

Experimentation Sales Metrics Measurement 68

CIO Business Intelligence

JULY 7, 2023

This module validates your ability to measure, assess, and develop the Service Desk practice capability using the ITIL Maturity Model. It covers challenges around volatility, uncertainty, complexity, and ambiguity (VUCA) and how to conduct a full cost benefit analysis to identify potential risks and opportunities.

Cost-Benefit 98

Cost-Benefit Strategy Management Uncertainty 98

Insight

FEBRUARY 19, 2020

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. Building Models to Predict Movie Profitability Here I use profitability as the metric of success for a film and define profitability as the return on investment (ROI). ROI = Profit/Budget).

Risk 67

Risk ROI Modeling Metrics 67

The Unofficial Google Data Science Blog

APRIL 19, 2021

The numerical value of the signal became decoupled from the event it was measuring even as the ordinal value remained unchanged. Calibration and other considerations Calibration is a desirable property, but it is not the only important metric. bar{pi} (1 - bar{pi})$: This is the irreducible loss due to uncertainty.

Modeling 122

Modeling IT Metrics Testing 122

Andrew White

DECEMBER 16, 2019

After sifting through several year’s worth of formally written data, analytics, and data and analytics strategies, we found about 85% of them did not include a measurable business outcome. See Data and Analytics Strategies Need More-Concrete Metrics of Success. The article notes this as cognitive uncertainty. It’s called ROAR.

Uncertainty 40

Uncertainty ROI Metrics Strategy 40

The Unofficial Google Data Science Blog

JANUARY 14, 2016

Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. We must therefore maintain statistical rigor in quantifying experimental uncertainty.

Experimentation 41

Experimentation Statistics Metrics Measurement 41

Peter James Thomas

AUGUST 12, 2018

This piece was prompted by both Olaf’s question and a recent article by my friend Neil Raden on his Silicon Angle blog, Performance management: Can you really manage what you measure? It is hard to account for such tweaking in measurement systems. Pertinence and fidelity of metrics developed from Data.

Metrics 49

Metrics Statistics Data Quality Measurement 49

Jet Global

JANUARY 25, 2021

That’s not surprising, given the uncertainty of the current global economic climate. Our CEO wants key metrics/KPIs on an up-to-the-minute basis. In the case of reporting tools, report distribution capabilities are extraordinarily helpful, provided that their design includes good security measures. Integrated e-commerce.

Finance 98

Finance Reporting Software Sales 98

Occam's Razor

APRIL 15, 2019

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. Bubble Kings most commonly reside in organizations where there is little to no accountability (or misplaced accountability, ex: celebration of vanity metrics).

Measurement 80

Measurement Strategy Data Processing Uncertainty 80

AWS Big Data

AUGUST 7, 2023

Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future. The data contains measurements of electric power consumption in different households for the year 2014. The OBJECTIVE parameter specifies a metric to minimize or maximize the objective of a job.

Forecasting 88

Forecasting Data Warehouse Machine Learning Modeling 88

CIO Business Intelligence

JANUARY 4, 2023

Alternatively, some in the European Union are shifting their priority from trying to run operations faster, to trying to run them with lower power consumption. As with DPUs, more research and quantifiable comparisons are needed to support customers in determining whether composable infrastructure is right for their next system.

Cost-Benefit 59

Cost-Benefit Machine Learning Uncertainty Modeling 59

The Unofficial Google Data Science Blog

FEBRUARY 29, 2016

The result is that experimenters can’t afford to be sloppy about quantifying uncertainty. These typically result in smaller estimation uncertainty and tighter interval estimates. Variance reduction through conditioning Suppose, as an LSOS experimenter, you find that your key metric varies a lot by country and time of day.

Experimentation 40

Experimentation Statistics Metrics Measurement 40

Jet Global

SEPTEMBER 10, 2020

Living through periods of rapid upheaval and uncertainty, like the recent pandemic, forces us to adapt quickly to new working practices. One area that often goes overlooked is the value that can be achieved from the application of consolidated KPIs to measure major indicators.

Forecasting 52

Forecasting Finance Uncertainty Sales 52