CIO Business Intelligence

NOVEMBER 13, 2023

Reimagination of business processes sits at the core of digital transformation, and so, by definition, digital transformation challenges the status quo, throwing we-have-always-done-it-this-way sentiment out of the window. Leaders must clearly define what they want to achieve through digital transformation and how they plan to do it.

Digital Transformation 143

Digital Transformation Cost-Benefit Experimentation Measurement 143

CIO Business Intelligence

JUNE 7, 2023

From what I see across the nation, there is definitely an emphasis on STEM. KAUST Smart partners with companies and organizations to develop, test, and pilot technologies and to take advantage of our unique city environment. It is clearly recognized that these areas are the cornerstones for economic transformation.

Digital Transformation 105

Digital Transformation Experimentation Technology Testing 105

The Unofficial Google Data Science Blog

APRIL 23, 2024

To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. Our experimentation platform supports this kind of grouped-experiments analysis, which allows us to see rough summaries of our designed experiments without much work.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Domino Data Lab

AUGUST 6, 2021

The early definition now accepted as standard in the industry is: “The use of models invariably presents model risk, which is the potential for adverse consequences from decisions based on incorrect or misused model outputs and reports.” The genesis of Model Risk Management was in the banking industry. Model implementation.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

Domino Data Lab

NOVEMBER 14, 2019

This Domino Data Science Field Note covers a proposed definition of interpretability and distilled overview of the PDR framework. James Murdoch, Chandan Singh, Karl Kumber, and Reza Abbasi-Asi’s recent paper, “Definitions, methods, and applications in interpretable machine learning” Introduction. Yet, Bin Yu, W.

Modeling 71

Modeling Machine Learning Data Science Experimentation 71

Data Science and Beyond

APRIL 5, 2021

Overall, 2020 was definitely a good year for my participation in RLS and I’m planning on contributing more in 2021, especially with help around organising and conducting surveys in Southeast Queensland. My main "day job" focus in 2020 was on being the tech lead for Automattic’s new experimentation platform (ExPlat).

Experimentation 61

Experimentation Testing Publishing Measurement 61

DataRobot

JUNE 8, 2021

Because it quantitatively identifies the common attributes of members of a group, it can inspire new persona definitions. The researchers set out to test whether consumers are more resistant to healthcare delivered by AI providers because of concerns that the AI will neglect the unique characteristics of their case. It can be unstable.

Data-driven 98

Data-driven Testing Marketing Experimentation 98

CIO Business Intelligence

JUNE 27, 2022

I do still contribute to open-source projects and when I can I try to contribute code to Sentry, but definitely not as much as I want. We rely heavily on automated testing. A lot of the current approaches feel very experimental and are tough to see as maintainable, so there’s certainly still room for growth here.

Software 115

Software Experimentation Testing Marketing 115

The Unofficial Google Data Science Blog

JANUARY 14, 2016

Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. We must therefore maintain statistical rigor in quantifying experimental uncertainty.

Experimentation 41

Experimentation Statistics Metrics Measurement 41

Occam's Razor

AUGUST 22, 2011

Five Reasons And Awesome Testing Ideas. Lab Usability Testing: What, Why, How Much. Build A Great Web Experimentation & Testing Program. Experimentation and Testing: A Primer. " The Definitive Guide To (8) Competitive Intelligence Data Sources! Interviewing Tip: Stress Test Critical Thinking.

KPI 124

KPI Metrics Measurement ROI 124

Occam's Razor

APRIL 8, 2013

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. Testing out a new feature. Identify, hypothesize, test, react. But at the same time, they had to have a real test of an actual feature. You don’t need a beautiful beast to go out and test.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

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 119

Measurement Advertising Testing Marketing 119

CIO Business Intelligence

MAY 1, 2024

Pilots can offer value beyond just experimentation, of course. McKinsey reports that industrial design teams using LLM-powered summaries of user research and AI-generated images for ideation and experimentation sometimes see a reduction upward of 70% in product development cycle times. That’s looking at it the wrong way round.”

Cost-Benefit 136

Cost-Benefit Metrics Insurance Measurement 136

Ontotext

MARCH 29, 2021

More than 10 years ago we even had experimental support of what we called triplesets , which allowed the association of metadata to sets of statements. Vassil Momtchev: We were very pleased to have a strong technical team, like the one of Synaptica, to test drive our RDF-star implementation on a serious task and provide feedback.

Metadata 59

Metadata IT Modeling Experimentation 59

O'Reilly on Data

OCTOBER 19, 2021

While there isn’t an authoritative definition for the term, it shares its ethos with its predecessor, the DevOps movement in software engineering: by adopting well-defined processes, modern tooling, and automated workflows, we can streamline the process of moving from development to robust production deployments. This approach is not novel.

IT 346

IT Testing Experimentation Software 346

Ontotext

APRIL 3, 2024

Nimit Mehta: I think that 2024 is going to be a buckle-down year, but, at the same time, we’ll see a rapid explosion of experimentation. ” So, maybe they are open to some testing and exploration, but when it’s prime time, larger organizations won’t run the risk of putting something untested. That will definitely stick.

Technology 59

Technology Risk Digital Transformation Measurement 59

Domino Data Lab

OCTOBER 2, 2019

As data science work is experimental and probabilistic in nature, data scientists are often faced with making inferences. The case that might be familiar to you is an AB test. You can make a change to a product and test it against the original version of the product. A complementary Domino project is available. . Introduction.

Machine Learning 68

Machine Learning Measurement Modeling Testing 68

O'Reilly on Data

MAY 14, 2020

AI PMs should enter feature development and experimentation phases only after deciding what problem they want to solve as precisely as possible, and placing the problem into one of these categories. Experimentation: It’s just not possible to create a product by building, evaluating, and deploying a single model.

Management 363

Management Experimentation B2B Machine Learning 363

DataKitchen

APRIL 13, 2021

Because it is such a new category, both overly narrow and overly broad definitions of DataOps abound. Testing and Data Observability. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Testing and Data Observability. Production Monitoring and Development Testing.

Testing 307

Testing Machine Learning Consulting Data Quality 307

Occam's Razor

JUNE 4, 2018

Nudging has plenty of different definitions. Such is the case with A/B testing. I’m off to take a walk in the beautiful California sun, you go implement my recommendations for nudges as A/B tests—it is the only way to unlock the kind of imagination required to create profitable happy customer experiences. Welcome to Nudging.

Strategy 124

Strategy Cost-Benefit Testing Sales 124

Occam's Razor

FEBRUARY 26, 2008

" Or " I proposed testing / surveys / competitive intelligence / Analysts but I was shot down." 1: Implement a Experimentation & Testing Program. # 1: Implement a Experimentation & Testing Program. Here is data from our latest test." And now you have no excuse to avoid testing.

Management 68

Management Experimentation Testing Strategy 68

O'Reilly on Data

OCTOBER 13, 2020

In Bringing an AI Product to Market , we distinguished the debugging phase of product development from pre-deployment evaluation and testing. This distinction assumes a slightly different definition of debugging than is often used in software development. require not only disclosure, but also monitored testing.

Management 244

Management Metrics Machine Learning Modeling 244

Occam's Razor

DECEMBER 9, 2009

The four pronged real world tested probing and loaded with politics framework to find a home for Web Analytics: 1. After a lot of experimentation and failures I have come to realize that often (if above conditions are met) Marketing is the best organization for Web Analytics to be in. Are there standard tools deployed? You are out man!

Analytics 95

Analytics Data-driven Marketing Sales 95

datapine

MAY 20, 2020

To put the power of CRM software (or customer relationship management dashboard software) into a living, breathing, real-world perspective, we’ll explore CRM dashboards in more detail, starting with basic definitions of such dashboards and reports while considering how you can use CRM dashboard software to your business-boosting advantage.

Dashboards 265

Dashboards Reporting KPI Visualization 265

Occam's Razor

OCTOBER 21, 2013

You can read this post to learn how these tools collect data: The Definitive Guide To (8) Competitive Intelligence Data Sources. If you want to stress test this,… go back to your 2011 (pre- not provided ) data for paid and organic and see what you can find. Controlled experimentation. I really loved having this data.

Optimization 154

Optimization Reporting Experimentation Metrics 154

Occam's Razor

JUNE 6, 2007

Bonus: Interactive CD: Contains six podcasts, one video, two web analytics metrics definitions documents and five insightful powerpoint presentations. Experimentation & Testing (A/B, Multivariate, you name it). What ideas to test first on your site? It is a book about Web Analytics 2.0. Qualitative and quantitative.

Analytics 60

Analytics Metrics Marketing Dashboards 60

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

Occam's Razor

NOVEMBER 12, 2006

Stepping back for a moment here is the definition of conversion rate that is recommended: Conversion Rate = Outcomes / Unique Visitors. The problem is that you are there just to look at the car, maybe take it for a test drive. Focus on the Why (use Surveys or Lab Usability or Experimentation & Testing for example).

Measurement 99

Measurement Analytics Optimization Marketing 99

datapine

FEBRUARY 4, 2020

But first, we will start with a basic definition and some tips on creating these kinds of reports. A daily marketing report will also allow you for faster experimentation: running small operations to answer small questions. from your campaigns, various tests, and mistakes. Let’s dig deeper. Let’s take a look at an example.

Reporting 280

Reporting Marketing Advertising Metrics 280

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

The DS team needed an explicit definition of video quality. They agreed to base their definition on the evaluation of trained raters. Most agreed that Like Rate of a video on the site was in fact a reasonable proxy for this definition of video content quality. Should we use a t-test or a sign test?

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

Domino Data Lab

MAY 8, 2019

In contrast, some researchers who are exploring the definitions, possibilities, and limitations of model interpretation point toward more comprehensive views. There’s no one-size-fits-all definition of what’s required across all verticals. Let’s look at two issues, both more social than technical, that bubble to the top of the list.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

AWS Big Data

MAY 24, 2023

The following examples are also available in the sample notebook in the aws-samples GitHub repo for quick experimentation. Update your-iceberg-storage-blog in the following configuration with the bucket that you created to test this example. Note the configuration parameters s3.write.tags.write-tag-name Delete the EMR cluster.

Data Lake 82

Data Lake Snapshot Metadata Optimization 82

Alation

DECEMBER 14, 2021

These systems offer numerous web-centric features that bolster customer service and engagement, provide server scalability during periods of fluctuating traffic, and allow easy experimentation with new technologies and promotional strategies. Let’s start with some simple definitions. Cloud testing. Optimized business continuity.

Cost-Benefit 52

Cost-Benefit Data Processing Optimization Consulting 52

Occam's Razor

AUGUST 12, 2013

In a recent post, Multi-Channel Attribution: Definitions, Models and a Reality Check , I outlined three distinct attribution challenges. You only have to think about it for five seconds to realize it passes the ultimate test for everything: Common sense. Test that hypothesis using a percent of your budget and measure results.

Modeling 161

Modeling Optimization Marketing Interactive 161

The Unofficial Google Data Science Blog

OCTOBER 21, 2015

The beliefs of this community are always evolving, and the process of thoughtfully generating, testing, refuting and accepting ideas looks a lot like Science. By definition, it is hard to disentangle causes and effects in these settings because it is rarely possible to isolate all relevant factors.

Slice and Dice 45

Slice and Dice Experimentation Data-driven Data Science 45

Occam's Razor

MARCH 23, 2010

Because every tool uses its own sweet metrics definitions, cookie rules, session start and end rules and so much more. Usually at least a test. Meanwhile see if you can convince your HiPPO to run a small test while you look for a case study (and a job). ]. Likely not. Omniture cannot save you. Only you can save yourself.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Occam's Razor

JULY 18, 2011

This should drive aggressive experimentation of email content / offers / targeting / every facet by your team. This metric helps you find opportunities for immediate improvement – such as pages and calls to action you should test, and content that fails to deliver. But why measure only 2% of the outcomes on your website?

Metrics 137

Metrics Marketing Measurement Cost-Benefit 137