CIO Business Intelligence

DECEMBER 9, 2024

Measuring AI ROI As the complexity of deploying AI within the enterprise becomes more apparent in 2025, concerns over ROI will also grow. Measuring the impact of new technologies from a financial and productivity perspective has been a challenge for many years. Part of the problem is the lack of common standards for measuring returns.

Enterprise 116

Enterprise ROI Cost-Benefit Measurement 116

O'Reilly on Data

MAY 27, 2020

Using the new scores, Apgar and her colleagues proved that many infants who initially seemed lifeless could be revived, with success or failure in each case measured by the difference between an Apgar score at one minute after birth, and a second score taken at five minutes.

Risk 361

Risk Testing Reporting Measurement 361

Analytics Vidhya

MAY 2, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. “Skewness essentially measures the symmetry of the distribution, while kurtosis. The post Shape of data: Skewness and Kurtosis appeared first on Analytics Vidhya.

Measurement 245

Measurement Data Science Publishing Analytics 245

O'Reilly on Data

JUNE 18, 2024

Publishers (including The New York Times itself, which has sued OpenAI for copyright violation ) argue that works such as generative art and texts compete with the creators whose work the AI was trained on. Copyright reserves to the creator(s) the exclusive right to publish and to profit from their work. We need to achieve both goals.

Advertising 363

Advertising Modeling Publishing Data Processing 363

O'Reilly on Data

JUNE 18, 2019

A recent O’Reilly survey found that those with mature AI practices (as measured by how long they’ve had models in production) cited “Lack of data or data quality issues” as the main bottleneck holding back further adoption of AI technologies. business and quality rules, policies, statistical signals in the data, etc.).

Machine Learning 279

Machine Learning Data Quality Statistics Modeling 279

datapine

SEPTEMBER 16, 2022

But often that’s how we present statistics: we just show the notes, we don’t play the music.” – Hans Rosling, Swedish statistician. The author recently published an “expanded follow-up” to her book called “Storytelling With Data: Let’s Practice!”. Be aware that there is a second edition to this book published in 2019.

Visualization 304

Visualization Dashboards Data-driven Statistics 304

O'Reilly on Data

MAY 18, 2020

And last is the probabilistic nature of statistics and machine learning (ML). Because statistics: Last is the inherently probabilistic nature of ML. Data sensitivity also tends to be a helpful measure for the materiality of any incident. First and foremost is the tendency for AI to decay over time.

Risk 364

Risk Modeling Data Processing Reporting 364

O'Reilly on Data

JULY 15, 2019

We should clarify that SR 11-7 also covers models that aren’t necessarily based on machine learning: "quantitative method, system, or approach that applies statistical, economic, financial, or mathematical theories, techniques, and assumptions to process input data into quantitative estimates." Sources of model risk.

Machine Learning 48

Machine Learning Management Enterprise Risk Management 48

O'Reilly on Data

MARCH 31, 2020

All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. You might establish a baseline by replicating collaborative filtering models published by teams that built recommenders for MovieLens, Netflix, and Amazon.

Management 363

Management Machine Learning Experimentation Metrics 363

Smart Data Collective

JUNE 4, 2021

Data science needs knowledge from a variety of fields including statistics, mathematics, programming, and transforming data. Mathematics, statistics, and programming are pillars of data science. In data science, use linear algebra for understanding the statistical graphs. It is the building block of statistics.

Data Science 133

Data Science Statistics Deep Learning Machine Learning 133

datapine

FEBRUARY 9, 2024

4) How to Select Your KPIs 5) Avoid These KPI Mistakes 6) How To Choose A KPI Management Solution 7) KPI Management Examples Fact: 100% of statistics strategically placed at the top of blog posts are a direct result of people studying the dynamics of Key Performance Indicators, or KPIs. 3) What Are KPI Best Practices? What happens next?

KPI 221

KPI Management Key Performance Indicator Measurement 221

Domino Data Lab

NOVEMBER 17, 2020

High throughput screening technologies have been developed to measure all the molecules of interest in a sample in a single experiment (e.g., Each of these behaviors wreak havoc on statistical analyses. Guest Post by Bill Shannon, Founder and Managing Partner of BioRankings. Introduction. Antimicrobial. Autoimmunity. IL-4, IL-13.

Statistics 131

Statistics Measurement Testing Predictive Modeling 131

DataKitchen

OCTOBER 11, 2021

Finally, when your implementation is complete, you can track and measure your process. The automated orchestration published the data to an AWS S3 Data Lake. Statistical Process Control – applies statistical methods to control a process. DataOps Project Design and Implementation.

Testing 152

Testing Metadata Dashboards Statistics 152

datapine

SEPTEMBER 29, 2022

5) How Do You Measure Data Quality? In this article, we will detail everything which is at stake when we talk about DQM: why it is essential, how to measure data quality, the pillars of good quality management, and some data quality control techniques. How Do You Measure Data Quality? Table of Contents. 2) Why Do You Need DQM?

Data Quality 241

Data Quality Metrics Data-driven Management 241

datapine

SEPTEMBER 6, 2022

That said, measuring the success of your those efforts is another great part of the job, and on many occasions, it can prove to be overwhelming as you need to use multiple tools to gather the data. Given that this indicator is directly tight to revenue, it is one of the most relevant success measurements for the marketing department.

Dashboards 179

Dashboards Reporting ROI Metrics 179

CIO Business Intelligence

OCTOBER 18, 2023

“IDH holds a potentially severe immediate risk for patients during dialysis and therefore requires immediate attention from staff,” says Hanjie Zhang, director of computational statistics and artificial intelligence at the Renal Research Institute, a joint venture of Fresenius North America and Beth Israel Medical Center. “As

Predictive Analytics 133

Predictive Analytics Analytics Machine Learning Internet of Things 133

Smart Data Collective

FEBRUARY 14, 2023

Of course, this statistic predates the pandemic. RetailDive recently published an article titled Furniture retailer embraces digital marketing and measures its impact with analytics , which underscores the benefits that analytics offers. The furniture industry is among those relying more heavily on data analytics.

Data Analytics 143

Data Analytics Analytics Advertising Sales 143

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

Anmut

JANUARY 30, 2025

Couple this with the results of a study published in the Harvard Business Review which finds that only 3% of companies data meets basic quality standards ! Redman and David Sammon, propose an interesting (and simple) exercise to measure data quality. These are scary statistics. Authors, Tadhg Nagle, Thomas C.

Data Quality 52

Data Quality Cost-Benefit Statistics Data-driven 52

Data Science 101

JANUARY 15, 2020

Reliability: It means measurements should have repeatable results. For eg: you measure the blood pressure of a person. Then after some time, you take the measurement again and there is a huge fluctuation in the result. So instruments should be checked well before taking measurements. Statistics Essential for Dummies by D.

Experimentation 96

Experimentation Statistics Measurement Testing 96

Smart Data Collective

MAY 4, 2023

The term was first published in 1999 and gained a solid definition in the early 2000s. It refers to datasets too large for normal statistical methods. Furthermore, many websites have implemented anti-scraping measures to prevent bots from collecting data. Big data has been discussed by business leaders since the 1990s.

Data mining 109

Data mining Big Data Data-driven Measurement 109

Insight

AUGUST 5, 2020

Photo by Devon Divine on Unsplash Originally published in Maslo - Your Virtual Self. Summary statistics (i.e. Across prediction models, summary statistics for features (i) root mean square, (ii) polynomial coefficients, and (iii) MFCCs had the highest feature importance. the Mel-frequency cepstrum). the Mel-frequency cepstrum).

Predictive Modeling 98

Predictive Modeling Statistics Modeling Measurement 98

erwin

APRIL 21, 2020

By combining physical system catalogs, critical data elements, and key performance measures with clearly defined product and sales goals, you can manage the effectiveness of your business and ensure you understand what critical systems are for business continuity and measuring corporate performance.

Measurement 97

Measurement Sales Data Governance Metadata 97

erwin

APRIL 21, 2020

What’s the best way to organize data and ensure it is supported by business policies and well-defined, governed systems, data elements and performance measures? It organizes them into a simple, easy- to-digest format and then publishes them to data communities for knowledge-sharing and collaboration.

Measurement 96

Measurement Sales Data Governance Metadata 96

Smart Data Collective

JUNE 25, 2019

According to a fresh study published in April accuracy. The medical community has long been working to devise truly unbiased and measurable markers. For the research, the team used special statistical/machine learning method. A post from Science Daily recently showed that AI can diagnose PTSD by analyzing voices. New methods.

Technology 108

Technology Statistics Big Data Machine Learning 108

Cloudera

DECEMBER 3, 2021

In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. This involves identifying, quantifying and being able to measure ethical considerations while balancing these with performance objectives. Uncertainty is a measure of our confidence in the predictions made by a system.

Uncertainty 102

Uncertainty Measurement Metrics Risk 102

datapine

MARCH 18, 2020

Social media marketing reporting is based on a curated collection of data and statistics that are customized based on your business’s social marketing activities and goals. As we just established, tracking and measuring your activity is pivotal to success, and reports are a great tool. over various time frames. Need we say more?

Reporting 178

Reporting Dashboards Metrics KPI 178

Smart Data Collective

OCTOBER 17, 2022

Like any other marketing strategy, you must measure email performance. Transactional data includes first and final purchases, products, number of purchases, date, statistics, typical order value, commodity purchase history, and total spending by a consumer. Digital workers measure almost anything they choose.

Marketing 128

Marketing Optimization Data Analytics Analytics 128

Smart Data Collective

AUGUST 15, 2019

Ultimately, shipping audits allow you to identify measurable savings and discover a greater level of transparency between your current pricing across carriers. According to data published by the Work Institute , employers will pay an estimated $680 billion in turnover costs by 2020. Employee Turnover. Department of Labor.

Big Data 106

Big Data Sales Testing Statistics 106

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

With those stakes and the long forecast horizon, we do not rely on a single statistical model based on historical trends. Over the life of the forecast, the data scientist will publish historical accuracy metrics. I sometimes see the erroneous application of a tactical approach to strategic forecasting problems.

Forecasting 115

Forecasting Data Science Statistics Uncertainty 115

Sisense

SEPTEMBER 3, 2020

Besides strong technical skills (for instance, use of Hadoop, programming in R and Python , math, statistics), data scientists should also be able to tackle open-ended questions and undirected research in ways that bring measurable business benefits to their organization. See an example: Explore Dashboard.

Statistics 97

Statistics Metrics Visualization Finance 97

DataRobot

JULY 6, 2021

In 1992, the Journal of Human Evolution published “ Neocortex size as a constraint on group size in primates ,” which measured the correlation between neocortical volume and typical social group size in primates and human communities. Without computers, banks couldn’t handle trillions of dollars of transactions each year.

Marketing 105

Marketing Sales Data-driven Statistics 105

Occam's Razor

JUNE 8, 2006

I am often asked what we look for when we hire Web Analysts or what quality do good Analysts possess or how to measure if a resource that already exists is optimal or how to mentor / motivate / guide our more junior Analysts to propel them to become great Analysts. This blog post is an attempt to answer all those questions wrapped into one.

KPI 94

KPI Measurement Statistics Metrics 94

O'Reilly on Data

MARCH 20, 2019

Benchmark models : An older or trusted interpretable modeling pipeline, or other highly transparent predictor, can be used as a benchmark model from which to measure whether a prediction was manipulated by any number of means. This could include data poisoning, watermark attacks, or adversarial example attacks.

Modeling 272

Modeling Machine Learning Predictive Modeling Consulting 272

Occam's Razor

JANUARY 9, 2012

Most companies are astonishingly blasé about data and possibilities of measurement. " Sad, unimaginative measurements of their sad, unimaginative campaigns. Lack of loyalty shows simply re-publishing AP stories is useless. This blog is about the joys of measurement and the transformative power of data.

Marketing 142

Marketing B2B Measurement Risk 142

Jet Global

JULY 12, 2023

Editors note: This blog was originally published in October 2013, and has been completely revamped and updated for accuracy, relevancy, and comprehensiveness in September 2019 Prior to the 17th century, data visualization existed mainly in the realm of maps, displaying land markers, cities, roads, and resources.

Visualization 59

Visualization Statistics Scorecard Measurement 59

DataRobot

AUGUST 5, 2021

Recently published research addressed the question of “ When Does Uncertainty Matter?: Some participants were also shown the statistical distribution of the potential rental prices against the prediction point estimate. They set high, almost perfectionist expectations for AI. Could the blemish-frame effect apply to talking about AI?

Uncertainty 98

Uncertainty Sales Risk Statistics 98