CIO Business Intelligence

AUGUST 14, 2024

Measuring costs and value The other major issue with gen AI is the price. After the excitement and experimentation of last year, CIOs are more deliberate about how they implement gen AI, making familiar ROI decisions, and often starting with customer support. But experimentation to achieve significant results takes time.

Enterprise 135

Enterprise Cost-Benefit Experimentation Modeling 135

CIO Business Intelligence

SEPTEMBER 9, 2022

Measure the right outputs. It refers to the phenomenon of a coding leader (an Army colonel in the book’s example) wondering why the programmers don’t appear to be working. . Nobody likes to be treated like a line item on the budget. X amount of pay for Y amount of output and if the lines cross in the wrong direction you are out.

Software 129

Software Experimentation Measurement Marketing 129

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Taking measurements at parameter settings further from control parameter settings leads to a lower variance estimate of the slope of the line relating the metric to the parameter.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Ontotext

JULY 6, 2023

It incorporates the knowledge of Subject Matter Experts and ensures accurate sentiment measurements. Experimentation with different technical analysis services becomes possible. Being able to provide a comprehensive understanding of market dynamics through sentiment measurement is crucial. Actually, as in this case the U.S.,

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

by HENNING HOHNHOLD, DEIRDRE O'BRIEN, and DIANE TANG In this post we discuss the challenges in measuring and modeling the long-term effect of ads on user behavior. Nevertheless, A/B testing has challenges and blind spots, such as: the difficulty of identifying suitable metrics that give "works well" a measurable meaning.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

DataRobot

JUNE 17, 2021

Traditionally, science has advanced in many cases by having brilliant researchers compete different hypotheses to explain experimental data, and then design experiments to measure which is correct. References. Distilling Free-Form Natural Laws from Experimental Data, Science 03 Apr 2009: Vol. So What is Eureqa?

Modeling 52

Modeling Experimentation Machine Learning Measurement 52

IBM Big Data Hub

MAY 17, 2024

Cloud adoption maturity model This maturity model helps measure an organization’s cloud maturity in aggregate. Teams are comfortable with experimentation and skilled in using data to inform business decisions. Automation everywhere: This is when everything is integrated into IaC and MFA and federation usage is pervasive.

Modeling 96

Modeling Cost-Benefit Optimization Digital Transformation 96

The Unofficial Google Data Science Blog

JANUARY 16, 2018

Experimentation on networks A/B testing is a standard method of measuring the effect of changes by randomizing samples into different treatment groups. With A/B testing, we can validate various hypotheses and measure the impact of our product changes, allowing us to make better decisions. This could create confusion.

Testing 58

Testing Experimentation Measurement Modeling 58

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

IBM Big Data Hub

MARCH 4, 2024

We refer to this transformation as becoming an AI+ enterprise. This culture encourages experimentation and expertise growth. This requires a holistic enterprise transformation. For example, by using compliance control scanning of terraform templates to fail provisioning if controls are not met.

Enterprise 96

Enterprise ROI Risk Strategy 96

AWS Big Data

NOVEMBER 2, 2023

For specific pricing details and current information, refer to Amazon EMR pricing. GoDaddy benchmark During our initial experimentation, we observed that arm64 on EMR Serverless consistently outperformed or performed on par with x86_64. All other parameters were kept the same to achieve an apples-to-apples comparison.

Cost-Benefit 93

Cost-Benefit Big Data Testing Optimization 93

DataRobot Blog

JULY 28, 2022

For example, data measured by sensors can contain all kinds of noise due to sensor malfunctions, environmental changes, etc., If the various observed values measured by sensors in the equipment could be predicted, it would be possible to control manufacturing parameters and reduce fuel costs. which can lead to large prediction errors.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

Ontotext

MARCH 29, 2021

Sadly, the reification had a bad connotation of being overly slow due to the increased number of additional statements needed to identify the reference triple and too verbose to use in SPARQL : 1. : we did practical modeling of various approaches and measured their performance. This was already possible in the very first RDF 1.0

Metadata 59

Metadata IT Modeling Experimentation 59

Domino Data Lab

DECEMBER 4, 2020

Domino Lab supports both interactive and batch experimentation with all popular IDEs and notebooks (Jupyter, RStudio, SAS, Zeppelin, etc.). TIME – time points of measured pain score and plasma concentration (in hrs). References. [1] In this tutorial we will use JupyterLab. and 3 to 8 hours. pain_df.TIME.== and many others.

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

Sisense

JANUARY 21, 2020

They measured both the blood pressure of the participants and if they had a heart attack or not. If you don’t have the time to read “The Book of Why,’” you can refer to Towards Data Science. Another study showed using experimental studies that the paradox might occur, and that people are often poor at recognizing it.

Testing 104

Testing Risk Data-driven Statistics 104

Occam's Razor

APRIL 8, 2013

First, you figure out what you want to improve; then you create an experiment; then you run the experiment; then you measure the results and decide what to do. For each of them, write down the KPI you're measuring, and what that KPI should be for you to consider your efforts a success. Measure and decide what to do.

Metrics 157

Metrics KPI Analytics Key Performance Indicator 157

Ontotext

NOVEMBER 2, 2023

And while there is a great deal of experimentation underway, most organizations have only scratched the surface in a use-case-by-use-case fashion. This includes the reference data about business entities, agents, and people. Most of the leading market research firms consider graph technologies to be a “critical enabler.”

IT 69

IT Cost-Benefit Data-driven Technology 69

Occam's Razor

OCTOBER 21, 2013

This led to the problem we, Marketers, SEOs, Analysts, fondly refer to as not provided. That of course will mean more referring keyword data will disappear. We are headed towards having zero referring keywords from Google and, perhaps, other search engines. Controlled experimentation. No keyword data in analytics tools.

Optimization 156

Optimization Reporting Metrics Experimentation 156

IBM Big Data Hub

APRIL 18, 2024

AGI, sometimes referred to as strong AI , is the science-fiction version of artificial intelligence (AI), where artificial machine intelligence achieves human-level learning, perception and cognitive flexibility.

Cost-Benefit 89

Cost-Benefit Manufacturing Modeling Interactive 89

The Unofficial Google Data Science Blog

JULY 22, 2020

This post considers a common design for an OCE where a user may be randomly assigned an arm on their first visit during the experiment, with assignment weights referring to the proportion that are randomly assigned to each arm. There are two common reasons assignment weights may change during an OCE.

Experimentation 95

Experimentation Statistics Testing Strategy 95

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. What are you measuring?

Cost-Benefit 143

Cost-Benefit Metrics Insurance Measurement 143

Occam's Razor

JULY 24, 2018

To name a few: Digital Marketing & Measurement Model | Analytics Ecosystem | Web Analytics 2.0. During a discussion around planning for measurement, a peer was struggling with a unique collection of challenges. You see more digital metrics because digital is more measurable. See the nice circular reference? :).

Analytics 95

Analytics Metrics Strategy Measurement 95

Insight

MARCH 12, 2020

Text synopses are ‘tokenized’ with the aid of a reference library. One way that we can get around this is to use the proportion of tags that fall into a given class as a measure of our degree of confidence in that class association. The AIgent embeds that synopsis, and measures cosine similarity across the embeddings database.

Modeling 59

Modeling Metadata Publishing Sales 59

DataKitchen

MARCH 8, 2023

Manufacturing production errors refer to mistakes or defects that occur during the manufacturing process. DataOps Observability refers to real-time monitoring, detecting, and diagnosing of data status, data pipelines, data tools, and other systems. Measuring these goals is very important to success.

Analytics 130

Analytics Manufacturing Data-driven Data Analytics 130

O'Reilly on Data

OCTOBER 19, 2021

ML apps need to be developed through cycles of experimentation: due to the constant exposure to data, we don’t learn the behavior of ML apps through logical reasoning but through empirical observation. but to reference concrete tooling used today in order to ground what could otherwise be a somewhat abstract exercise.

IT 352

IT Testing Experimentation Software 352

CIO Business Intelligence

APRIL 18, 2022

The challenge with this approach is that companies end up in what we refer to as the ‘digital trap. Dashboards should be used to monitor the value of an initiative and how value is created, measured by organizational and individual capabilities that support digital transformation, and tracked over time, according to the research brief.

Digital Transformation 145

Digital Transformation Dashboards Cost-Benefit Consulting 145

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. This is often referred to as the positivity assumption. In observational studies treatment is assigned by nature, therefore its mechanism is unknown and needs to be estimated.

Statistics 44

Statistics Optimization Modeling Experimentation 44

AWS Big Data

JUNE 12, 2024

In a two-part series, we talk about Swisscom’s journey of automating Amazon Redshift provisioning as part of the Swisscom ODP solution using the AWS Cloud Development Kit (AWS CDK), and we provide code snippets and the other useful references. See the following admin user code: admin_secret_kms_key_options = KmsKeyOptions(.

Data Architecture 97

Data Architecture Cost-Benefit Experimentation Data-driven 97

Occam's Razor

FEBRUARY 26, 2008

1: Implement a Experimentation & Testing Program. # 1: Implement a Experimentation & Testing Program. Experimentation and Testing: A Primer. Build A Great Web Experimentation & Testing Program. # Often with benchmarks we get into silly arguments like how do they measure this and that etc.

Management 68

Management Experimentation Testing Metrics 68

CIO Business Intelligence

AUGUST 21, 2024

It wasn’t just a single measurement of particulates,” says Chris Mattmann, NASA JPL’s former chief technology and innovation officer. “It It was many measurements the agents collectively decided was either too many contaminants or not.” They also had extreme measurement sensitivity.

Risk 135

Risk Insurance Cost-Benefit Software 135

IBM Big Data Hub

OCTOBER 20, 2023

Automated development: With AutoAI , beginners can quickly get started and more advanced data scientists can accelerate experimentation in AI development. Generative AI capabilities Content generator: Generative AI refers to deep-learning models that can generate text, images and other content based on the data they were trained on.

Machine Learning 71

Machine Learning Manufacturing Cost-Benefit Deep Learning 71

O'Reilly on Data

MARCH 23, 2023

There’s a very important difference between these two almost identical sentences: in the first, “it” refers to the cup. In the second, “it” refers to the pitcher. Tokens ChatGPT’s sense of “context”—the amount of text that it considers when it’s in conversation—is measured in “tokens,” which are also used for billing.

IT 267

IT Modeling Testing Risk 267

The Unofficial Google Data Science Blog

JULY 31, 2016

The analysis can be straightforward, especially when it's safe to assume that individual observations of an outcome measure are independent. The outcome measure we care about is an average of the students' test scores, and so the unit of observation is a student. To figure this out, let's consider an appropriate experimental design.

Experimentation 42

Experimentation Testing Measurement Metrics 42

The Unofficial Google Data Science Blog

MARCH 22, 2018

But what if users don't immediately uptake the new experimental version? Background At Google, experimentation is an invaluable tool for making decisions and inference about new products and features. For example, we might want to stop the process if we measure harmful effects early. What if their uptake rate is not uniform?

Experimentation 62

Experimentation Measurement Modeling Statistics 62

Ontotext

MAY 18, 2020

Ever since Hippocrates founded his school of medicine in ancient Greece some 2,500 years ago, writes Hannah Fry in her book Hello World: Being Human in the Age of Algorithms , what has been fundamental to healthcare (as she calls it “the fight to keep us healthy”) was observation, experimentation and the analysis of data.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

Insight

FEBRUARY 20, 2020

It was ignorance in our experimental design that led to this apparent noise in our output. The answer is simple: there is no such thing as “irreducible error”. When we threw the die in the first experiment, we simply ignored most of our reality.

Machine Learning 71

Machine Learning Experimentation Modeling Measurement 71

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. The ability to measure results (risk-reducing evidence). Ensure a culture that supports a steady process of learning and experimentation.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66