O'Reilly on Data

APRIL 23, 2024

They published the original Transformer paper (not quite coincidentally called “Attention is All You Need”) in 2017, and released BERT , an open source implementation, in late 2018, but they never went so far as to build and release anything like OpenAI’s GPT line of services.

Advertising 274

Advertising Cost-Benefit Marketing Risk 274

Sisense

DECEMBER 27, 2019

Case in point: when you look at your company’s monthly metrics, you’re focused solely on a single month’s worth of data. When you compare your monthly numbers to a larger sample and comparable periods, you get a truer measure of your performance, minus elements that may be distorting your data. The answer: year-over-year growth.

KPI 96

KPI Measurement Metrics Key Performance Indicator 96

CIO Business Intelligence

MAY 27, 2024

CISOs are increasingly anxious because while they realize the ax will fall on them when the inevitable breach occurs, securing boardroom support for heavy investment in preventative measures, like training, is challenging in a world where revenue is demanded for each dollar spent. “The million compared to those with lower levels.

Cost-Benefit 116

Cost-Benefit Statistics ROI Measurement 116

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

Occam's Razor

FEBRUARY 28, 2017

To ensure customer delight was delivered in a timely manner, it was also decided that Average Call Time (ACT) would now be The success metric. The success metric, ACT, did go down. The qualitative surveys measuring unhappiness went down even more than before. Metrics matter. You are what you measure.

Key Performance Indicator 107

Key Performance Indicator Metrics Measurement Advertising 107

Domino Data Lab

MAY 20, 2021

Working with highly imbalanced data can be problematic in several aspects: Distorted performance metrics — In a highly imbalanced dataset, say a binary dataset with a class ratio of 98:2, an algorithm that always predicts the majority class and completely ignores the minority class will still be 98% correct. return synthetic.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

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. A 2017 study by FSN found that businesses which made better use of non-financial data were more than twice as likely to be able to forecast beyond the 12-month time horizon than those that didn’t.

Finance 98

Finance Reporting Forecasting Metrics 98

Juice Analytics

APRIL 21, 2019

Collecting good requirements is less about a laundry list of charts and metrics, but an understanding of how information can transform the business from how it exists today. In 2017 I had the opportunity to work on an insurance industry project for the first time. What are the metrics that drive top line revenue?

Insurance 73

Insurance Dashboards Metrics Reporting 73

Domino Data Lab

MAY 8, 2019

Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. Adrian Weller (2017-07-29). “ Visualizations are vital in data science work, with the caveat that the information that they convey may be 4-5 layers of abstraction away from the actual business process being measured. 2018-06-21).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

AWS Big Data

NOVEMBER 13, 2024

The second use case enables the creation of reports containing shop floor key metrics for different management levels. The following criteria were considered to identify these use cases: Use cases that deliver measurable business value for Volkswagen Autoeuropa. One way to measure the user experience is through user feedback surveys.

Metadata 91

Metadata Data Quality Digital Transformation Data-driven 91

CIO Business Intelligence

MAY 16, 2023

higher [in 2022] than in 2017.” Organizations can accelerate the adoption of data-dependent use cases such as those revealed through our research by having their data in order: using information governance to manage data across its lifecycle through processes, roles, controls, and metrics to collect, organize, use, and secure data.

Advertising 105

Advertising Recreation/Entertainment Experimentation Enterprise 105

Decision Management Solutions

JUNE 4, 2021

Define the metrics or key performance indicators (KPIs) they want to improve: But analytics cannot magically improve metrics—they can only tell you if your analytic investment was worthwhile. Imagine actually deriving measurable business impact from all the great analytics technologies you’ve invested in.

Analytics Technologies 52

Analytics Technologies Technology Modeling Key Performance Indicator 52

Insight

MARCH 25, 2019

Bugs in a third-party CDN provider’s system, such as this one from 2017, can have serious implications for the security and privacy of your users. Latency measurements on the internet can change over time, and these are the measurements that Route53 uses to determine where to route users when this routing policy is implemented.

Data Processing 106

Data Processing Cost-Benefit Optimization Metrics 106

CIO Business Intelligence

DECEMBER 18, 2024

Or Alex Honnold, who free solo climbed El Capitan in Yosemite in June 2017 and lived to tell us about it. Continuous learning was one of the key performance metrics we were measured on. Or David Beckham scoring the goal in 2002 that shook the world and secured Englands place in the World Cup finals.

Interactive 98

Interactive Deep Learning Reporting Digital Transformation 98

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., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

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

Cloudera

MAY 18, 2021

Value-at-Risk (VaR) is a widely used metric in risk management. Fortunately, with a modern streaming platform like Flink, and an easy to use stream programming language like Flink SQL, we can quickly build robust pipelines to calculate intraday risk measures as market data arrives in real-time. Intraday VaR. Citations. [1]

Risk 101

Risk Marketing Risk Management Data-driven 101

CIO Business Intelligence

MAY 24, 2023

Heavy investment for us in cloud, though, really started in 2017 when we launched our redesigned, cloud-based, cloud-native central reservation system called ChoiceEdge. And then at the back end of this, how to drive accountability, leveraging the metrics you’re gathering and what goals you’re going to set.

Cost-Benefit 52

Cost-Benefit Digital Transformation Metrics Insurance 52

Data Insight

APRIL 15, 2019

If you look at the metrics of what defines business success from a leadership perspective, a traditional business measurement used to be all about profit and loss, production, efficiency and productivity. That’s a massive shift in quite a short time frame from traditional metrics without us even realising it.

Data-driven 40

Data-driven Metrics Measurement Strategy 40

AWS Big Data

AUGUST 7, 2023

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. For more information, see ElectricityLoadDiagrams20112014 Data Set (Dua, D. and Karra Taniskidou, E.

Forecasting 88

Forecasting Data Warehouse Machine Learning Modeling 88

Jet Global

DECEMBER 4, 2020

In 2017, Walmart announced its intention to reduce overall CO2 emissions. Finally, and perhaps most importantly, effective reporting tools provide clear visibility of key performance metrics across the entire organization. Barcoding, likewise, is a common requirement imposed by larger customers. Better Visibility to Performance.

Reporting 52

Reporting Sales Finance Software 52

Domino Data Lab

OCTOBER 23, 2019

As a result, there has been a recent explosion in individual statistics that try to measure a player’s impact. Knowing that the ultimate goal is to compare the social-media influence and power of NBA players, a great place to start is with the roster of the NBA players in the 2016–2017 season. 05) in predicting changes in attendance.

Statistics 59

Statistics Machine Learning Testing Modeling 59

Peter James Thomas

OCTOBER 1, 2019

Throughout I use the word “category” to refer to something discrete that is plotted on an axis, for example France, Germany, Italy and The UK, or 2016, 2017, 2018 and 2019. The single red line shows the actual value of some metric up to the middle section of the chart. Most charts have two axes.

Sales 61

Sales Measurement Statistics Data Architecture 61

Insight

OCTOBER 25, 2019

Before feeding features into SVM classifiers (linear kernel), I normalized all input features using min-max, performed PCA to reduce input dimension, then supplemented the visual features with min-max-normalized measures of object sizes (diameters in 3 dimensions) from the CAD models.

Snapshot 57

Snapshot Testing Deep Learning Visualization 57

Domino Data Lab

FEBRUARY 4, 2019

People who attended JupyterCon 2017–2018 can attest, an “industry poster session” includes an open bar, catered hors d’oeuvres, lots of mingling … to paraphrase feedback from JupyterCon, “As a tech person, would I get up extra early to meet strangers for coffee at 8:00 am? The ability to measure results (risk-reducing evidence).

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

Occam's Razor

JUNE 7, 2017

And, less than 1% engagement of any kind from that less than 1% reached (identified using the best social media metrics: Conversation Rate, Amplification Rate, Applause Rate ). Do you have access to any data to measure how deeply non-impactful your organic Social Media efforts are? The Broken Promise of Marketing Utopia: Examples.

Advertising 162

Advertising Marketing B2B ROI 162

Occam's Razor

DECEMBER 8, 2017

If the Surface Marketing team is like every other team at every other company engaged in sponsorships and television advertising, it’ll measure the same collection of smart metrics like everyone else. The Surface team is likely measuring it with deep granularity (by individual games, geo, days, times of days, and a lot more).

Broadcasting 123

Broadcasting Measurement Sales Marketing 123

Business Over Broadway

DECEMBER 20, 2018

Data Science/Analytics Tools, Technologies and Languages used in 2017. A recent survey by Kaggle revealed that data professionals used data visualization, logistic regression, cross-validation and decision trees more than other data science methods in 2017. Data Science/Analytics Tools, Technologies and Languages used in 2017.

Machine Learning 74

Machine Learning Data Science Deep Learning Predictive Analytics 74

IBM Big Data Hub

FEBRUARY 8, 2024

It refers to a set of metrics used to measure an organization’s environmental and social impact and has become increasingly important in investment decision-making over the years. In response, asset managers began to develop ESG strategies and metrics to measure the environmental and social impact of their investments.

Measurement 77

Measurement Metrics Reporting Strategy 77

Domino Data Lab

AUGUST 1, 2021

Because of its architecture, intrinsically explainable ANNs can be optimised not just on its prediction performance, but also on its explainability metric. but it generally relies on measuring the entropy in the change of predictions given a perturbation of a feature. regression, multi-class classification etc.), See Wei et al.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

datapine

NOVEMBER 27, 2019

While we work on programs to avoid such inconvenience , AI and machine learning are revolutionizing the way we interact with our analytics and data management while increment in security measures must be taken into account. from 2017 , and this is one of the business analytics topics we will hear even more in 2020.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Alation

AUGUST 26, 2021

HBR Review May/June 2017. A common BI application is the BI dashboard, which displays key metrics so that leaders have a “big picture view” to inform wise goals and decisions. Your goals should reflect your business’ objectives and clearly define by what metrics you will deem those goals successful. What will success look like?

Metadata 64

Metadata Data Governance Dashboards Software 64

Jet Global

MARCH 2, 2022

As such, some of the measures published in respect of ESG include: As such, some of the measures published in respect of ESG include: Non-Financial Reporting Directive (NFRD). The Task Force on Climate-Related Disclosures or TCFD released its disclosure recommendation in 2017.

Reporting 59

Reporting Recreation/Entertainment Risk Insurance 59