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

datapine

MAY 20, 2020

Finally, we will show you a real-life example so you can get a visual overview and a clearer picture of the points discussed in this article. When we say “optimal design,” we don’t mean cramming piles of information into one space or being overly experimental with colors. Test, tweak, evolve. Let’s begin.

Dashboards 265

Dashboards Reporting KPI Visualization 265

CIO Business Intelligence

OCTOBER 15, 2024

But DevOps struck me as too dev-centric at the time, and my first articles questioned who owned DevOps and how DevOps was a major shift in practices. The crisis should be a warning to all CIOs who empower DevOps teams to accelerate continuous delivery without sufficient testing, rollback, monitoring, and other operational best practices.

Enterprise 143

Enterprise Testing Business Objectives Experimentation 143

CIO Business Intelligence

FEBRUARY 9, 2024

Establish a corporate use policy As I mentioned in an earlier article , a corporate use policy and associated training can help educate employees on some risks and pitfalls of the technology, and provide rules and recommendations to get the most out of the tech, and, therefore, the most business value without putting the organization at risk.

IT 138

IT Experimentation Risk Testing 138

The Unofficial Google Data Science Blog

JANUARY 16, 2018

by SANGHO YOON In this article, we discuss an approach to the design of experiments in a network. We present data from Google Cloud Platform (GCP) as an example of how we use A/B testing when users are connected. At Google, A/B testing plays a key role in better understanding our users and products.

Testing 59

Testing Experimentation Measurement Modeling 59

datapine

FEBRUARY 4, 2020

Below, in the article, we’ve gathered some of the marketing reports templates that can easily be used to perfect the efficiency of generating data and reduce the time needed to create it. As a Forbes article states , “there’s no such thing as ‘set it and forget it’ [in digital marketing]”. Use professional software.

Reporting 280

Reporting Marketing Advertising Metrics 280

O'Reilly on Data

MARCH 23, 2023

It’s by far the most convincing example of a conversation with a machine; it has certainly passed the Turing test. Search and research Microsoft is currently beta testing Bing/Sydney, which is based on GPT-4. There’s the compute time, the engineering team—but there’s also the cost of verification, testing, and editing.

IT 346

IT Modeling Testing Risk 346

CIO Business Intelligence

MARCH 7, 2023

I’ll be covering more examples of force multipliers in upcoming articles, and here are three to start that should apply to most CIOs and their IT organizations. Devops teams now look to shift left security and implement continuous testing to develop more innovative, secure, and reliable features from the start.

Digital Transformation 145

Digital Transformation Data Governance Machine Learning Experimentation 145

The Unofficial Google Data Science Blog

JULY 22, 2020

Another reason to use ramp-up is to test if a website's infrastructure can handle deploying a new arm to all of its users. The website wants to make sure they have the infrastructure to handle the feature while testing if engagement increases enough to justify the infrastructure.

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96

Occam's Razor

SEPTEMBER 19, 2011

Then they isolated regions of the country (by city, zip, state, dma pick your fave) into test and control regions. People in the test regions will participate in our hypothesis testing. So for variation #3, no catalogs or email were sent to the customers in the test group. The nice thing is that you can also test that!

Measurement 120

Measurement Advertising Testing Marketing 120

datapine

JANUARY 31, 2022

Everything is being tested, and then the campaigns that succeed get more money put into them, while the others aren’t repeated. This methodology of “test, look at the data, adjust” is at the heart and soul of business intelligence. Your Chance: Want to try a professional BI analytics software? Let’s look at our first use case.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

CIO Business Intelligence

APRIL 25, 2024

Fits and starts As most CIOs have experienced, embracing emerging technologies comes with its share of experimentation and setbacks. Without automated evaluation, LinkedIn reports that “engineers are left eye-balling results and testing on a limited set of examples and having a more than a 1+ day delay to know metrics.”

IT 139

IT Cost-Benefit Experimentation Metrics 139

Domino Data Lab

OCTOBER 14, 2020

This article focuses on accelerating model development. Experimentation and collaboration are built into the core of the platform. This ability enhances the efficiency of operational management and optimizes the cost of experimentation. Domino shines in reproducibility and discovery. Hyperparameter Tuning. Why Petastorm?

Experimentation 99

Experimentation Deep Learning Modeling Testing 99

Smart Data Collective

JULY 9, 2023

This article is going to provide some great insights on developing strategies for unlocking additional value from an online business, which can do a lot to boost revenue and catapult the enterprise to new heights. Experimentation is the key to finding the highest-yielding version of your website elements.

Optimization 97

Optimization Data Analytics Analytics Data-driven 97

CIO Business Intelligence

DECEMBER 19, 2023

In researching this article, I found gaps where CIOs promised capabilities to stakeholders, but implementations and business impacts have lagged expectations. If CIOs don’t improve conversions from pilot to production, they may find their investors losing patience in the process and culture of experimentation.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

Octopai

MAY 2, 2022

Common elements of DataOps strategies include: Collaboration between data managers, developers and consumers A development environment conducive to experimentation Rapid deployment and iteration Automated testing Very low error rates. But the approaches and principles that form the basis of DataOps have been around for decades.

Manufacturing 98

Manufacturing Testing Data Quality Dashboards 98

Domino Data Lab

JUNE 23, 2019

Skomoroch proposes that managing ML projects are challenging for organizations because shipping ML projects requires an experimental culture that fundamentally changes how many companies approach building and shipping software. Yet, this challenge is not insurmountable. for what is and isn’t possible) to address these challenges. Transcript.

Management 110

Management Machine Learning Experimentation Metrics 110

CIO Business Intelligence

JUNE 11, 2024

A 1958 Harvard Business Review article coined the term information technology, focusing their definition on rapidly processing large amounts of information, using statistical and mathematical methods in decision-making, and simulating higher order thinking through applications.

IT 136

IT Digital Transformation Broadcasting Business Objectives 136

CIO Business Intelligence

APRIL 15, 2024

Given the speed required, Lowden established a specialized team for the project to encourage a culture of experimentation and “moving fast to learn fast.” “You The Tax Institute studies and analyzes the constantly shifting landscape of federal and state tax laws and publishes articles on how to deal with them.

Testing 102

Testing Machine Learning Data Quality Experimentation 102

Domino Data Lab

APRIL 7, 2019

If you are in research, excellent libraries like Allen NLP and NLP Architect are designed to make experimentation easier, although at the expense of feature completeness, speed and robustness. This article is intended to be a useful cheat sheet for narrowing down your choice. Not all open source NLP libraries are created equal.

Deep Learning 110

Deep Learning Machine Learning Experimentation Modeling 110

CIO Business Intelligence

DECEMBER 10, 2024

For example, AI-supported chat tools help our game designers to: Brainstorm ideas Test complex game mechanics Generate dialogs They act as digital sparring partners that open up new perspectives and accelerate the creative process. AI does not always deliver the final result, but it is a good starting point for brainstorming.

Data-driven 98

Data-driven Metadata Interactive KPI 98

Depict Data Studio

JULY 13, 2021

Today’s article comes from Maryfrances Porter, Ph.D. & In the science world, if you have a small group of people and do not find statistical significance, one thing you can do is test a much bigger group! We have used this example before: Scientists discover and test medicines to make sure they work.

Statistics 98

Statistics Testing Recreation/Entertainment Experimentation 98

FineReport

DECEMBER 11, 2019

The article is interspersed with rich columns and pictures, introduces the basic business principles in a simple way with real cases from many companies and entrepreneurs around the world. – Data Divination: Big Data Strategies.

Big Data 98

Big Data Statistics Experimentation Data Strategy 98

Cloudera

FEBRUARY 16, 2022

In this article, we explore model governance, a function of ML Operations (MLOps). They define each stage from data ingest, feature engineering, model building, testing, deployment and validation. If a model’s lineage is completely captured, we know exactly what data was used to train, test and validate a model.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

Domino Data Lab

AUGUST 5, 2019

The article focuses on 1) proposed frameworks for defining and designing for ethics and for understanding the forces that encourage industry to operationalize ethics, as well as 2) proposed ethical principles for data scientists to consider when developing data-empowered products. as well as consider the role of rights, harms, and justice.

Data Science 93

Data Science Data-driven Modeling Machine Learning 93

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. ” BTW, that Knuth article from 1983 was probably the first time that I ever saw the word “Web” used as a computer-related meaning. Introduction. BTW, videos for Rev2 are up: [link]. Software writes Software?

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

Decision Management Solutions

DECEMBER 17, 2021

In the recent McKinsey article discussing designing next-generation credit-decisioning models they outlined four best practices for automated credit-decisioning models for banks as they continue their digital transformations. Digital lending based on high-performance credit-decisioning models, says McKinsey, lead to: Increased revenue.

Modeling 52

Modeling Visualization Experimentation Risk 52

Occam's Razor

OCTOBER 12, 2017

The tiny downside of this is that our parents likely never had to invest as much in constant education, experimentation and self-driven investment in core skills. When you go to the interview, the hiring company will proceed to ask questions that test your competency in the listed job requirements. I read articles they write.

Marketing 138

Marketing Analytics Machine Learning Strategy 138

Dataiku

APRIL 22, 2022

For companies with small datasets and a mandate to move beyond experimentation, Frugal AI promises to be a way to overcome this challenge. In this article, we took a back-to-basics look at one aspect of Frugal AI. Today, in 2022, the code (i.e.,

Experimentation 59

Experimentation Business Objectives Modeling Manufacturing 59

IBM Big Data Hub

APRIL 18, 2024

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production. It analyzes historical data and news articles, confirming a possible market correction.

Cost-Benefit 89

Cost-Benefit Manufacturing Modeling Interactive 89

Perceptual Edge

AUGUST 26, 2019

A serious approach would begin with a thorough understanding of data visualization, which is not Pangilinan’s area of expertise, and would then proceed scientifically by designing and running experimental studies to test its usefulness. Her case is hollow.

Visualization 52

Visualization Cost-Benefit Interactive Experimentation 52

Domino Data Lab

OCTOBER 2, 2019

This article covers causal relationships and includes a chapter excerpt from the book Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications by Andrew Kelleher and Adam Kelleher. As data science work is experimental and probabilistic in nature, data scientists are often faced with making inferences.

Machine Learning 68

Machine Learning Measurement Modeling Testing 68

Insight

APRIL 28, 2020

In this article, we share some data-driven advice on how to get started on the right foot with an effective and appropriate screening process. Article by Adam Azzam. Originally posted on Open Data Science (ODSC). Teams new to hiring often make this mistake of creating long multi-stage screening processes.

Data-driven 53

Data-driven Data Science Experimentation Measurement 53

Alation

SEPTEMBER 28, 2022

However, there is a lot more to know about DataOps, as it has its own definition, principles, benefits, and applications in real-life companies today – which we will cover in this article! Automated testing to ensure data quality. What Is DataOps? Easy-to-experiment data development environment. How Does DataOps Provide Value?

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

O'Reilly on Data

JULY 28, 2020

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. In this article, we turn our attention to the process itself: how do you bring a product to market? Identifying the problem. Don’t expect agreement to come simply.

Marketing 364

Marketing Experimentation Metrics Testing 364

Domino Data Lab

AUGUST 22, 2019

Note These three particular words are called articles , or determiners. Note: A test set of 19,500 such analogies was developed by Tomas Mikolov and his colleagues in their 2013 word2vec paper. This test set is available at download.tensorflow.org/data/questions-words.txt.]. Note that the final test word in Table 11.2—ma’am—is

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

The Unofficial Google Data Science Blog

JUNE 30, 2016

In an ideal world, experimentation through randomization of the treatment assignment allows the identification and consistent estimation of causal effects. A naïve way to solve this problem would be to compare the proportion of buyers between the exposed and unexposed groups, using a simple test for equality of means.

Statistics 45

Statistics Optimization Modeling Experimentation 45