CIO Business Intelligence

FEBRUARY 13, 2023

The name references the Greek letter sigma, which is a statistical symbol that represents a standard deviation. Larger is Better involves a “lower specification limit,” such as test scores — where the target is 100%. During the improve phase, the focus is on testing the best potential solutions identified in the earlier phases.

Management 72

Management Statistics Manufacturing Measurement 72

CDW Research Hub

NOVEMBER 6, 2020

Every year companies invest resources on data collection, and employees spend countless hours mulling over that data to make informed business decisions like how to market to their target audience or where to expand the business. Will just any data protection solution get the job done? Know your security risks.

Scorecard 40

Scorecard Risk Business Driver Strategy 40

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. After training, the system can make predictions (or deliver other results) based on data it hasn’t seen before. Machine learning adds uncertainty.

Management 339

Management Machine Learning Experimentation Metrics 339

IBM Big Data Hub

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects.

Data Science 53

Data Science Machine Learning Cost-Benefit Deep Learning 53

The Unofficial Google Data Science Blog

OCTOBER 31, 2016

Generally, if the relative amount of data in a slice is the same across your two groups, you can safely make a comparison. Consider practical significance With a large volume of data, it can be tempting to focus solely on statistical significance or to hone in on the details of every bit of data.

Metrics 107

Metrics Measurement Statistics Data Collection 107

Smart Data Collective

FEBRUARY 14, 2023

They test the product and find bugs that turn customers away. Game analysts are exclusively engaged in testing and reporting, and the elimination of identified problems falls on the shoulders of the development team. After all, analytics is not just looking at statistics and reading player reviews.

Big Data 118

Big Data Data Analytics Analytics Testing 118

AWS Big Data

JULY 3, 2023

Backtesting is a process used in quantitative finance to evaluate trading strategies using historical data. This helps traders determine the potential profitability of a strategy and identify any risks associated with it, enabling them to optimize it for better performance. Load the dataset into Amazon S3.

Snapshot 83

Snapshot Data Lake Testing Strategy 83

DataRobot Blog

DECEMBER 1, 2022

Artificial intelligence (AI) can help improve the response rate on your coupon offers by letting you consider the unique characteristics and wide array of data collected online and offline of each customer and presenting them with the most attractive offers. Training and Testing Different AI Models.

Machine Learning 52

Machine Learning Marketing Modeling Statistics 52

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. Here’s where I get baffled by people who use words such as agile or lean to describe process for data science.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

O'Reilly on Data

OCTOBER 18, 2022

Data can be wrong. When we use AI in security applications, the risks become even more direct. As AI technologies are adopted more broadly in security and other high-risk applications, we’ll all need to know more about AI audit and risk management. Predictions can be wrong. System designs can be wrong.

Risk Management 297

Risk Management Risk Testing Measurement 297

datapine

AUGUST 29, 2022

The book has three main ideas: The biggest risk your company faces is investing a lot of time and resources into building something that the market doesn’t want. Most people are aware that companies collect our GPS locale, text messages, credit card purchases, social media posts, Google search history, etc., Davenport.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Domino Data Lab

JUNE 23, 2019

As a result, Skomoroch advocates getting “designers and data scientists, machine learning folks together and using real data and prototyping and testing” as quickly as possible. As quickly as possible, you want to get designers and data scientists, machine learning folks together and using real data and prototyping and testing.

Management 110

Management Machine Learning Experimentation Metrics 110

Domino Data Lab

MARCH 3, 2019

Then, when we received 11,400 responses, the next step became obvious to a duo of data scientists on the receiving end of that data collection. Over the past six months, Ben Lorica and I have conducted three surveys about “ABC” (AI, Big Data, Cloud) adoption in enterprise. Plus blatant overuse of intertextual parataxis.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

datapine

DECEMBER 28, 2021

1) What Is A Misleading Statistic? 2) Are Statistics Reliable? 3) Misleading Statistics Examples In Real Life. 4) How Can Statistics Be Misleading. 5) How To Avoid & Identify The Misuse Of Statistics? If all this is true, what is the problem with statistics? What Is A Misleading Statistic?

Statistics 363

Statistics Advertising Visualization Data mining 363

Jet Global

MAY 15, 2020

Quick Ratio – This financial metric is commonly referred to as the “Acid Test Ratio” (acid was historically used to determine if gold was genuine or not). As such, it can be concluded that the higher the ratio, the higher the risk to shareholders. A cash strapped company is not a healthy company. Instant updates.

Metrics 98

Metrics Finance Reporting KPI 98

Occam's Razor

MARCH 23, 2010

Part of it is fueled by a vocal minority genuinely upset that 10 years on we are still not a statistically powered bunch doing complicated analysis that is shifting paradigms. Having two tools guarantees you are going to be data collection, data processing and data reconciliation organization. Usually for free.

Analytics 118

Analytics Consulting Metrics Experimentation 118

CIO Business Intelligence

FEBRUARY 3, 2023

IBM Cloud Pak for Business Automation , for example, provides a low-code studio for testing and developing automation strategies. Power Advisor tracks statistics about performance to locate bottlenecks and other issues. Rocketbot Orquestador will manage them, running them as needed while compiling statistics.

Data-driven 145

Data-driven Interactive Enterprise Statistics 145

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

1]" Statistics, as a discipline, was largely developed in a small data world. Data was expensive to gather, and therefore decisions to collect data were generally well-considered. As computing and storage have made data collection cheaper and easier, we now gather data without this underlying motivation.

Experimentation 61

Experimentation Testing Statistics Metrics 61

O'Reilly on Data

MARCH 24, 2020

Beyond the autonomous driving example described, the “garbage in” side of the equation can take many forms—for example, incorrectly entered data, poorly packaged data, and data collected incorrectly, more of which we’ll address below. Data collected for one purpose can have limited use for other questions.

Machine Learning 352

Machine Learning Statistics Data Quality Modeling 352

Jet Global

MAY 1, 2023

CEO Priorities Grow revenue and “hit the number” Manage costs and meet profitability goals Attract and retain talent Innovate and out-perform the competition Manage risk Connect the Dots Present embedded analytics as a way to differentiate from the competition and increase revenue. Let’s just give our customers access to the data.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

O'Reilly on Data

JUNE 16, 2020

We know, statistically, that doubling down on an 11 is a good (and common) strategy in blackjack. The quality of the decision is based on known information and an informed risk assessment, while chance involves hidden information and the stochasticity of the world. Risk, Probability, Impact, and Decisions.

Uncertainty 282

Uncertainty Testing Risk Reporting 282