O'Reilly on Data

OCTOBER 12, 2021

We know how to test whether or not code is correct (at least up to a certain limit). Given enough unit tests and acceptance tests, we can imagine a system for automatically generating code that is correct. But we don’t have methods to test for code that’s “good.” There are lots of ways to sort.

Testing 363

Testing Measurement Consulting Modeling 363

Analytics Vidhya

AUGUST 5, 2022

Hypothesis testing is used to look if there is any significant relationship, and we report it using a p-value. Measuring the strength of that relationship […]. Introduction One of the most important applications of Statistics is looking into how two or more variables relate.

Statistics 375

Statistics Measurement Testing Data Science 375

CIO Business Intelligence

APRIL 8, 2025

He suggests creating a security-first culture through employee training , system updates, and implementing comprehensive security measures, including an incident response plan. Soby recommends testing the enterprises current risk management program against real-world incidents. Cybersecurity is now a multi-front war, Selby says.

Risk Management 131

Risk Management Risk Management Business Objectives 131

CIO Business Intelligence

NOVEMBER 20, 2023

Measuring developer productivity has long been a Holy Grail of business. In addition, system, team, and individual productivity all need to be measured. The inner loop comprises activities directly related to creating the software product: coding, building, and unit testing. And like the Holy Grail, it has been elusive.

Measurement 126

Measurement Metrics Testing Software 126

CIO Business Intelligence

JANUARY 14, 2025

How does our AI strategy support our business objectives, and how do we measure its value? Meanwhile, he says establishing how the organization will measure the value of its AI strategy ensures that it is poised to deliver impactful outcomes because, to create such measures, teams must name desired outcomes and the value they hope to get.

Strategy 141

Strategy ROI Experimentation Risk 141

CIO Business Intelligence

JANUARY 14, 2025

By articulating fitness functions automated tests tied to specific quality attributes like reliability, security or performance teams can visualize and measure system qualities that align with business goals. Experimentation: The innovation zone Progressive cities designate innovation districts where new ideas can be tested safely.

Enterprise 119

Enterprise Technology Metrics Measurement 119

DataKitchen

SEPTEMBER 20, 2021

The best way to ensure error-free execution of data production is through automated testing and monitoring. The DataKitchen Platform enables data teams to integrate testing and observability into data pipeline orchestrations. Automated tests work 24×7 to ensure that the results of each processing stage are accurate and correct.

Testing 246

Testing Metrics Measurement Dashboards 246

CIO Business Intelligence

JANUARY 6, 2025

Balancing the rollout with proper training, adoption, and careful measurement of costs and benefits is essential, particularly while securing company assets in tandem, says Ted Kenney, CIO of tech company Access. Our success will be measured by user adoption, a reduction in manual tasks, and an increase in sales and customer satisfaction.

IT 140

IT Cost-Benefit Measurement Experimentation 140

CIO Business Intelligence

APRIL 5, 2023

In a joint study with Markus Westner and Tobias Held from the department of computer science and mathematics at the University of Regensburg, the 4C experts examined the topic by focusing on how the IT value proposition is measured, made visible, and communicated. They also tested the concept in a German mechanical engineering company.

Measurement 133

Measurement IT Metrics Consulting 133

O'Reilly on Data

JUNE 15, 2023

If we want prosocial outcomes, we need to design and report on the metrics that explicitly aim for those outcomes and measure the extent to which they have been achieved. And they are stress testing and “ red teaming ” them to uncover vulnerabilities. That is a crucial first step, and we should take it immediately.

Metrics 359

Metrics Reporting Measurement Finance 359

CIO Business Intelligence

DECEMBER 20, 2023

This has spurred interest around understanding and measuring developer productivity, says Keith Mann, senior director, analyst, at Gartner. Therefore, engineering leadership should measure software developer productivity, says Mann, but also understand how to do so effectively and be wary of pitfalls.

Measurement 124

Measurement Software IT Metrics 124

DataKitchen

APRIL 13, 2021

Testing and Data Observability. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Prefect Technologies — Open-source data engineering platform that builds, tests, and runs data workflows. Testing and Data Observability. Production Monitoring and Development Testing.

Testing 300

Testing Machine Learning Consulting Data Science 300

CIO Business Intelligence

FEBRUARY 7, 2024

Key AI companies have told the UK government to speed up its safety testing for their systems, raising questions about future government initiatives that too may hinge on technology providers opening up generative AI models to tests before new releases hit the public.

Testing 124

Testing Reporting Risk Publishing 124

O'Reilly on Data

JUNE 19, 2019

A catalog or a database that lists models, including when they were tested, trained, and deployed. A catalog of validation data sets and the accuracy measurements of stored models. Model operations, testing, and monitoring. Other noteworthy items include: Tools for continuous integration and continuous testing of models.

Modeling 257

Modeling Machine Learning Testing Metrics 257

CIO Business Intelligence

SEPTEMBER 17, 2024

CISOs can only know the performance and maturity of their security program by actively measuring it themselves; after all, to measure is to know. However, CISOs aren’t typically measuring their security program proactively or methodically to understand their current security program. people, processes, and technology).

Measurement 111

Measurement Metrics Risk Dashboards 111

David Menninger's Analyst Perspectives

NOVEMBER 19, 2024

As a result, many data teams were not as productive as they might be, with time and effort spent on manually troubleshooting data-quality issues and testing data pipelines. The ability to monitor and measure improvements in data quality relies on instrumentation.

Data Quality 130

Data Quality Dashboards Data-driven Software 130

O'Reilly on Data

OCTOBER 19, 2021

The applications must be integrated to the surrounding business systems so ideas can be tested and validated in the real world in a controlled manner. An Overarching Concern: Correctness and Testing. We must resort to black box testing —testing the behavior of the function with a wide range of inputs.

IT 364

IT Testing Experimentation Software 364

CIO Business Intelligence

JUNE 13, 2024

Not instant perfection The NIPRGPT experiment is an opportunity to conduct real-world testing, measuring generative AI’s computational efficiency, resource utilization, and security compliance to understand its practical applications. For now, AFRL is experimenting with self-hosted open-source LLMs in a controlled environment.

Testing 119

Testing Experimentation Data Processing Modeling 119

DataKitchen

APRIL 26, 2021

GSK had been pursuing DataOps capabilities such as automation, containerization, automated testing and monitoring, and reusability, for several years. DataOps provides the “continuous delivery equivalent for Machine Learning and enables teams to manage the complexities around continuous training, A/B testing, and deploying without downtime.

Measurement 246

Measurement Metrics Data-driven Dashboards 246

DataKitchen

MAY 10, 2021

Some will argue that observability is nothing more than testing and monitoring applications using tests, metrics, logs, and other artifacts. Below we will explain how to virtually eliminate data errors using DataOps automation and the simple building blocks of data and analytics testing and monitoring. . Tie tests to alerts.

Testing 214

Testing Manufacturing Data Quality Statistics 214

CIO Business Intelligence

MARCH 5, 2025

The next thing is to make sure they have an objective way of testing the outcome and measuring success. Large software vendors are used to solving the integration problems that enterprises deal with on a daily basis, says Lee McClendon, chief digital and technology officer at software testing company Tricentis.

Testing 99

Testing Measurement Technology Experimentation 99

O'Reilly on Data

JUNE 18, 2024

Many farmers measure their yield in bags of rice, but what is “a bag of rice”? It’s important to test every stage of this pipeline carefully: translation software, text-to-speech software, relevance scoring, document pruning, and the language models themselves: can another model do a better job? Results need to pass human review.

Testing 312

Testing Software Modeling Measurement 312

DataKitchen

NOVEMBER 20, 2021

A DataOps Engineer can make test data available on demand. We have automated testing and a system for exception reporting, where tests identify issues that need to be addressed. It then autogenerates QC tests based on those rules. You can track, measure and create graphs and reporting in an automated way.

Testing 246

Testing Machine Learning Data Warehouse Analytics 246

CIO Business Intelligence

MAY 23, 2024

There is measurable progress, however, as data from the company’s connected products are collected in its own platform, where customers have access to information via a portal. “In Among other things, Microsoft Copilot is now being tested in a number of pilot groups, and has been rolled out to parts of management.

Digital Transformation 111

Digital Transformation Measurement Cost-Benefit Data Warehouse 111

DataKitchen

SEPTEMBER 18, 2024

DataOps introduces agility by advocating for: Measuring data quality early : Data quality leaders should begin measuring and assessing data quality even before perfect standards are in place. Early measurements provide valuable insights that can guide future improvements. Measuring and Refining : DataOps is an iterative process.

Scorecard 177

Scorecard Data Quality Measurement Testing 177

CIO Business Intelligence

OCTOBER 23, 2024

CIOs should create proofs of concept that test how costs will scale, not just how the technology works.” However, the real challenge lies in identifying the right use cases where AI can enhance performance and deliver measurable project outcomes that justify the investment.”

Enterprise 141

Enterprise Cost-Benefit Broadcasting Risk 141

DataKitchen

NOVEMBER 29, 2021

Model developers will test for AI bias as part of their pre-deployment testing. Quality test suites will enforce “equity,” like any other performance metric. Continuous testing, monitoring and observability will prevent biased models from deploying or continuing to operate. Companies Commit to Remote.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

DataKitchen

JANUARY 20, 2021

Centralizing analytics helps the organization standardize enterprise-wide measurements and metrics. Develop/execute regression testing . Test data management and other functions provided ‘as a service’ . Central DataOps process measurement function with reports. Agile ticketing/Kanban tools. Deploy to production.

Metrics 243

Metrics Experimentation Measurement Testing 243

DataKitchen

NOVEMBER 18, 2021

Write tests that catch data errors. The system creates on-demand development environments, performs automated impact reviews, tests/validates new analytics, deploys with a click, automates orchestrations, and monitors data pipelines 24×7 for errors and drift. Automate manual processes. Implement DataOps methods.

Testing 246

Testing Data Governance Measurement Software 246

DataKitchen

AUGUST 13, 2021

A drug company tests 50,000 molecules and spends a billion dollars or more to find a single safe and effective medicine that addresses a substantial market. Figure 1: A pharmaceutical company tests 50,000 compounds just to find one that reaches the market. A DataOps superstructure provides a common testing framework.

Testing 246

Testing Dashboards Marketing Measurement 246

Analytics Vidhya

DECEMBER 11, 2023

In this guide, we’ll explore the vital role of algorithm efficiency and its measurement using notations. Algorithm efficiency isn’t just for computer scientists; it’s for anyone who writes code.

Measurement 305

Measurement Optimization Technology Analytics 305

datapine

FEBRUARY 9, 2024

The process helps businesses and decision-makers measure the success of their strategies toward achieving company goals. How does Company A measure the success of each individual effort so that it can isolate strengths and weaknesses? Key performance indicators enable businesses to measure their own ability to set and achieve goals.

KPI 221

KPI Management Key Performance Indicator Measurement 221

CIO Business Intelligence

MARCH 25, 2025

What CIOs can do: Measure the amount of time database administrators spend on manual operating procedures and incident response to gauge data management debt. What CIOs can do: To make transitions to new AI capabilities less costly, invest in regression testing and change management practices around AI-enabled large-scale workflows.

Risk 140

Risk Cost-Benefit Data-driven Digital Transformation 140

Rocket-Powered Data Science

FEBRUARY 15, 2023

Keep it agile, with short design, develop, test, release, and feedback cycles: keep it lean, and build on incremental changes. Test early and often. Encourage and reward a Culture of Experimentation that learns from failure, “ Test, or get fired! Test and refine the chatbot. Suggestion: take a look at MACH architecture.)

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

AWS Big Data

MARCH 10, 2025

Amazon Redshift Serverless automatically scales compute capacity to match workload demands, measuring this capacity in Redshift Processing Units (RPUs). We encourage you to measure your current price-performance by using sys_query_history to calculate the total elapsed time of your workload and note the start time and end time.

Optimization 68

Optimization Data Warehouse Data-driven Testing 68

Corinium

JUNE 6, 2019

Fractal’s recommendation is to take an incremental, test and learn approach to analytics to fully demonstrate the program value before making larger capital investments. A properly set framework will ensure quality, timeliness, scalability, consistency, and industrialization in measuring and driving the return on investment.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

DataKitchen

SEPTEMBER 17, 2021

DataOps produces clear measurement and monitoring of the end-to-end analytics pipelines starting with data sources. Design your data analytics workflows with tests at every stage of processing so that errors are virtually zero in number. In the DataKitchen context, monitoring and functional tests use the same code.

Testing 237

Testing Data Architecture Measurement Visualization 237