O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). You already know the game and how it is played: you’re the coordinator who ties everything together, from the developers and designers to the executives. Why AI software development is different.

Management 332

Management Machine Learning Experimentation Metrics 332

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., 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.,

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Smart Data Collective

JULY 9, 2023

Understanding E-commerce Conversion Rates There are a number of metrics that data-driven e-commerce companies need to focus on. It is a crucial metric that provides priceless information about your website’s ability to transform visitors into paying customers. Some of the most important is conversion rates.

Optimization 73

Optimization Data Analytics Analytics Data-driven 73

CIO Business Intelligence

APRIL 12, 2024

Computer Vision also gives insights about customer traffic in stores, including metrics on conversion rate and sales numbers, thus helping the company decide what products to stock, how to display them, and how to arrange products across the store, Allison adds. Tractor Supply Co. It makes the team member much more efficient.”

Experimentation 100

Experimentation Sales Digital Transformation Metrics 100

Domino Data Lab

SEPTEMBER 10, 2020

This means many projects get stuck in endless research and experimentation. Identify metrics that measure this variability. Existing Metrics: Foot traffic (footfall) monitoring of total customer count in store based on time series. Is the problem feasible for us to solve? Identify a driver of cost or revenue within the business.

Modeling 101

Modeling IT Data Science Experimentation 101

Occam's Razor

FEBRUARY 7, 2022

Since you're reading a blog on advanced analytics, I'm going to assume that you have been exposed to the magical and amazing awesomeness of experimentation and testing. And yet, chances are you really don’t know anyone directly who uses experimentation as a part of their regular business practice. Wah wah wah waaah.

Experimentation 101

Experimentation Testing Optimization Marketing 101

CIO Business Intelligence

NOVEMBER 15, 2022

Experiment with the “highly visible and highly hyped”: Gartner repeatedly pointed out that organisations that innovate during tough economic times “stay ahead of the pack”, with Mesaglio in particular calling for such experimentation to be public and visible. on average over the next year, somewhat lower than the projected 6.5%

Digital Transformation 141

Digital Transformation Experimentation Risk Metrics 141

CIO Business Intelligence

FEBRUARY 21, 2024

We developed a model to predict student outcomes based on metrics from historical evidence,” he says. “We But their commitment is becoming more demanding and complex as AI, in its many applications, rises to the top of the syllabus. As FSU CIO Jonathan Fozard points out, universities have more than just classrooms and residence halls.

Recreation/Entertainment 130

Recreation/Entertainment Experimentation Modeling Data-driven 130

CIO Business Intelligence

NOVEMBER 13, 2023

So if you are seeking to lead transformational change at your organization, it’s worth knowing the 10 most common reasons why digital transformation fails and what you as an IT leader can learn from those failures. Without a clear understanding of what their digital transformation should achieve, it’s easy for companies to get lost in the weeds.

Digital Transformation 141

Digital Transformation Cost-Benefit Experimentation Measurement 141

IBM Big Data Hub

DECEMBER 4, 2023

And the abundance of data available for training models has opened up vast possibilities for experimentation and learning. Generative AI can also help developers improve their skills as they deal with more complex tasks. At this exciting frontier, it’s essential that developers adopt generative AI solutions that are right for them.

Experimentation 67

Experimentation Modeling Metrics Machine Learning 67

CIO Business Intelligence

APRIL 2, 2024

Joanne Friedman, PhD, CEO, and principal of smart manufacturing at Connektedminds, says orchestrating success in digital transformation requires a symphony of integration across disciplines : “CIOs face the challenge of harmonizing diverse disciplines like design thinking, product management, agile methodologies, and data science experimentation.

Management 124

Management Digital Transformation Testing Experimentation 124

AWS Big Data

AUGUST 21, 2023

It similarly codes the query as a vector and then uses a distance metric to find nearby vectors in the multi-dimensional space. Amazon OpenSearch Service has long supported both lexical and vector search, since the introduction of its kNN plugin in 2020. OpenSearch Service supports a variety of search and relevance ranking techniques.

Data Processing 89

Data Processing Experimentation Visualization Metrics 89

Occam's Razor

MAY 22, 2006

This post is a primer on the delightful world of testing and experimentation (A/B, Multivariate, and a new term from me: Experience Testing). Experimentation and testing help us figure out we are wrong, quickly and repeatedly and if you think about it that is a great thing for our customers, and for our employers.

Experimentation 103

Experimentation Testing Optimization Measurement 103

DataRobot Blog

OCTOBER 18, 2022

Model Observability – the ability to track key health and service metrics for models in production – remains a top priority for AI-enabled organizations. Learn more about the DataRobot AI Cloud and the ability to accelerate your experimentation and production timelines. DataRobot Booth at Big Data & AI Toronto 2022.

Big Data 96

Big Data Forecasting Experimentation Metrics 96

Sisense

MARCH 6, 2019

Gartner chose to group the rest of the keynote into three main messages according to the following categories: Here are some of the highlights as presented for each of them: Data Driven – “Adopt an Experimental Mindset”. At Sisense we’ve been preaching for BI prototyping and experimentation for quite a while now.

Data Analytics 75

Data Analytics Analytics Experimentation Data-driven 75

CIO Business Intelligence

DECEMBER 14, 2023

Reining in the rugged and remote Through rapid cycles of discovery and experimentation, Mathur and De Bernardi’s cross-functional team devised a solution that leaned heavily on additive manufacturing, more commonly known as “3D printing.” The harsh, remote landscape of Alaska’s North Slope does not evoke thoughts of digital transformation.

Manufacturing 79

Manufacturing Digital Transformation Experimentation Cost-Benefit 79

IBM Big Data Hub

MARCH 4, 2024

Figure 1: Transforming into an AI+ enterprise is at the core of what our team at IBM does An AI+ enterprise integrates AI as a first-class function across the business. Start with the use cases The most important step for an AI+ enterprise is identifying transformative use cases. Often, this decision is made too quickly. Should you build your own?

Enterprise 104

Enterprise ROI Risk Strategy 104

DataRobot Blog

FEBRUARY 28, 2023

They can enjoy a hosted experience with code snippets, versioning, and simple environment management for rapid AI experimentation. When the training process is complete, DataRobot will recommend the best-performing model for production based on the selected metric and provide an explanation. Learn more about DataRobot hosted notebooks.

Data Processing 72

Data Processing Experimentation Machine Learning Modeling 72

DataRobot

JUNE 10, 2021

Traditionally, experimentation and observation was the only way to understand the physical-chemical properties of the molecule. DataRobot also provides per-label metrics so that metrics per class can be compared. Below are the per-label metrics provided by DataRobot for model evaluation purposes.

Metrics 52

Metrics Machine Learning Visualization Experimentation 52

Corinium

JUNE 6, 2019

It is also important to have a strong test and learn culture to encourage rapid experimentation. Measure user adoption and engagement metrics to not just understand products take-up, but also to enhance the overall product propositions. There is usually a steep learning curve in terms of “doing AI right”, which is invaluable.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

Occam's Razor

MAY 15, 2006

There is a lot of "buzz" around "buzzy" metrics such as brand value / brand impact, blog-pulse , to name a couple. IMHO these "buzzy" metrics might be a sub optimal use of time/resources if we don't first have a hard core understanding of customer satisfaction and task completion on our websites.

Metrics 100

Metrics Experimentation Testing Interactive 100

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

CIO Business Intelligence

MAY 16, 2023

It surpasses blockchain and metaverse projects, which are viewed as experimental or in the pilot stage, especially by established enterprises. AI surpassed other technologies in conversations about innovation The research underscores that AI is leading the way in accelerating innovation.

Advertising 92

Advertising Recreation/Entertainment Experimentation Enterprise 92

DataKitchen

OCTOBER 5, 2021

DataOps enables: Rapid experimentation and innovation for the fastest delivery of new insights to customers. We find it helpful to think of data operations as a factory. Most organizations run the data factory using manual labor. What is DataOps. Low error rates. Collaboration across complex sets of people, technology and environments.

Testing 157

Testing Dashboards Measurement Experimentation 157

Occam's Razor

JULY 24, 2018

work (collection, processing, reporting, analysis), processes, org structure, governance models, last-mile gaps , metrics ladders of awesomeness , and… so… much… more. Remember, tools, work, processes, org structure, governance models, last-mile gaps, metrics ladders of awesomeness, and… so… much… more. The Implications of Complexity.

Analytics 93

Analytics Metrics Strategy Measurement 93

DataRobot Blog

JANUARY 10, 2023

Data science teams of all sizes need a productive, collaborative method for rapid AI experimentation. This flexibility allows you to import your local code into the DataRobot platform and continue further experimentation using the combination of DataRobot Notebooks with: Deep integrations with DataRobot comprehensive APIs.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

CIO Business Intelligence

MARCH 21, 2022

Data scientists are becoming increasingly important in business, as organizations rely more heavily on data analytics to drive decision-making and lean on automation and machine learning as core components of their IT strategies. Data scientist job description. Semi-structured data falls between the two. Data scientist requirements.

Unstructured Data 135

Unstructured Data Data Analytics Analytics Structured Data 135

Domino Data Lab

DECEMBER 4, 2020

Having calculated AUC/AUMC, we can further derive a number of useful metrics like: Total clearance of the drug from plasma. Domino Lab supports both interactive and batch experimentation with all popular IDEs and notebooks (Jupyter, RStudio, SAS, Zeppelin, etc.). Mean residence time. Terminal disposition rate constant. x)), pain_df).

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

Cloudera

APRIL 9, 2021

To effectively leverage their predictive capabilities and maximize time-to-value these companies need an ML infrastructure that allows them to quickly move models from data pipelines, to experimentation and into the business. Here are the key stages: . Data Collection – streaming data. Data Enrichment – data engineering. The ML Challenge.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

Nevertheless, A/B testing has challenges and blind spots, such as: the difficulty of identifying suitable metrics that give "works well" a measurable meaning. accounting for effects "orthogonal" to the randomization used in experimentation. accounting for effects "orthogonal" to the randomization used in experimentation.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

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. However, the downside of using a larger unit of randomization is that we lose experimental power. This simulation is based on the actual user network of GCP.

Testing 58

Testing Experimentation Measurement Modeling 58

DataRobot Blog

JULY 28, 2022

In addition to the accuracy of the models we built, we had to consider business metrics, cost, interpretability, and suitability for ongoing operations. Initially, the customer tried modeling using statistical methods to create typical features, such as moving averages, but the model metrics (R-square) was only 0.5

Data Science 72

Data Science Machine Learning Statistics Modeling 72

Occam's Razor

MARCH 23, 2021

Data Warehousing. And, a thousand other silos (depending on your company size). One outcome of this reality is that while every team works hard to do their very best work, it is rare that they earn strategic influence from their work. That’s not really surprising, if your view of your scope is narrow… Your impact will be narrow as well.

Analytics 131

Analytics Scorecard Strategy Testing 131

AWS Big Data

NOVEMBER 2, 2023

GoDaddy benchmark During our initial experimentation, we observed that arm64 on EMR Serverless consistently outperformed or performed on par with x86_64. GoDaddy benchmark During our initial experimentation, we observed that arm64 on EMR Serverless consistently outperformed or performed on par with x86_64. HCatalog 3.1.3

Cost-Benefit 85

Cost-Benefit Big Data Testing Optimization 85

AWS Big Data

JANUARY 9, 2024

It similarly codes the query as a vector and then uses a distance metric to find nearby vectors in the multi-dimensional space to find matches. This functionality was initially released as experimental in OpenSearch Service version 2.4, This is also called embedding the text into the vector space.

Cost-Benefit 88

Cost-Benefit Visualization Modeling Machine Learning 88

O'Reilly on Data

APRIL 19, 2021

After eliminating 1,580 respondents who didn’t complete the survey, we’re left with 3,574 responses—almost three times as many as last year. It’s possible that pandemic-induced boredom led more people to respond, but we doubt it. Whether they’re putting products into production or just kicking the tires, more people are using AI than ever before.

Enterprise 356

Enterprise Modeling Risk Manufacturing 356

Occam's Razor

AUGUST 22, 2011

" ~ Web Metrics: "What is a KPI? " + Standard Metrics Revisited Series. "Engagement" Is Not A Metric, It's An Excuse. Defining a "Master Metric", + a Framework to Gain a Competitive Advantage in Web Analytics. Build A Great Web Experimentation & Testing Program.

KPI 124

KPI Metrics Measurement ROI 124