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. We dug into interactive visualizations such as the DataRobot drift drill down plot , where users can investigate the exact feature and time period affected by data drift in a model.

Big Data 96

Big Data Forecasting Experimentation Metrics 96

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. Metaverse experiences enable new ways of interacting Metaverses are persistent, connected virtual spaces where users or visitors can immerse themselves in work, play, commerce, and socialization.

Advertising 105

Advertising Recreation/Entertainment Experimentation Enterprise 105

IBM Big Data Hub

MARCH 4, 2024

It’s also crucial to modernize existing applications that interact with AI. 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. Often, this decision is made too quickly. Should you build your own?

Enterprise 101

Enterprise ROI Risk Strategy 101

Occam's Razor

MAY 15, 2006

While there are many options for qualitative analysis, perhaps the most important qualitative data point is how Customers/Visitors interact with your “web presence.� Visitor interaction can lead to actionable insights faster while having a richer impact on your decision making. Surveying (the grand daddy of them all).

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

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

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.

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

Occam's Razor

MARCH 23, 2021

The other dimension to consider is most Analtyics teams kick into gear after the campaign is concluded, after the customer interaction has taken place in the call center, and after the funds budgeted have already been spent. 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

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, this assumption no longer holds when samples interact with each other, such as in a network. This simulation is based on the actual user network of GCP.

Testing 58

Testing Experimentation Measurement Modeling 58

CIO Business Intelligence

JUNE 27, 2022

David Cramer: I love the open source community so I would build a lot of things in open source to interact with my peers. Tyson: You’re coming up to two years since you added Sentry’s ability to monitor for performance which has some pretty fine-grained metrics in terms of identifying where bottlenecks are located in code.

Software 115

Software Experimentation Testing Marketing 115

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

DataRobot

JUNE 23, 2021

After adding the preferred code, teams can take advantage of the existing DataRobot capabilities, such as metrics, explainability, visualizations, deployment, monitoring, collaboration, and governance. In data science , the best results come through experimentation. So let’s dig in! Run AutoPilot.

Machine Learning 52

Machine Learning Experimentation Modeling Visualization 52

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.

Cost-Benefit 143

Cost-Benefit Metrics Insurance Measurement 143

Business Over Broadway

MAY 22, 2019

According to Gartner, companies need to adopt these practices: build culture of collaboration and experimentation; start with a 3-way partnership among executives leading digital initiative, line of business and IT. I was invited as a guest in a weekly tweet chat that is hosted by Annette Franz and Sue Duris. IoT Artificial Intelligence.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

datapine

FEBRUARY 4, 2020

While your keyboard is burning and your fingers try to keep up with your brain and comprehend all the data you’re writing about, using an interactive online data visualization tool to set specific time parameters or goals you’ve been tracking can bring a lot of saved time and, consequently, a lot of saved money. How do you know that?

Reporting 280

Reporting Marketing Advertising Metrics 280

datapine

MAY 20, 2020

A CRM dashboard is a centralized hub of information that presents customer relationship management data in a way that is dynamic, interactive, and offers access to a wealth of insights that can improve your consumer-facing strategies and communications. Try our professional dashboard software for 14 days, completely free!

Dashboards 265

Dashboards Reporting KPI Visualization 265

Insight

MARCH 12, 2020

finished his first novel, Cuckoo’s Calling. It had all the trappings of a great story: a suspicious death, a private investigator haunted by his past, intrigue, pace, and misdirection. There was only one problem: literary agents, the gatekeepers of the publishing industry, kept rejecting the book?—?often often without even looking at it.

Modeling 59

Modeling Metadata Publishing Sales 59

Occam's Razor

SEPTEMBER 15, 2014

They will need two different implementations, it is quite likely that you will end up with two sets of metrics (more people focused for mobile apps, more visit focused for sites). Media-Mix Modeling/Experimentation. Still, let me try to surprise you. Here's a graph that shows how US adults consume media, it shows time in hours.

Metrics 141

Metrics Reporting Analytics Marketing 141

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). I am thrilled to say that my book Web Analytics: An Hour A Day has been published and is now widely available.

Analytics 60

Analytics Metrics Marketing Dashboards 60

DataRobot Blog

SEPTEMBER 30, 2022

By tracking service, drift, prediction data, training data, and custom metrics, you can keep your models and predictions relevant in a fast-changing world. Adoption of AI/ML is maturing from experimentation to deployment. Model Observability can help. Model Observability Features. Manage Unpredictability in Active Deployments.

Slice and Dice 52

Slice and Dice Modeling Metrics Experimentation 52

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.

Management 110

Management Machine Learning Experimentation Metrics 110

FineReport

APRIL 24, 2024

Whether it’s identifying market trends, analyzing performance metrics, or understanding scientific findings, visual representations empower decision-makers to act with confidence. Each of these tools has its strengths, such as interactive dashboards , robust data connectivity, and advanced customization options.

Visualization 52

Visualization Dashboards Interactive Data-driven 52

Corinium

APRIL 25, 2019

Life insurance needs accurate data on consumer health, age and other metrics of risk. The last 10+ years or so have seen Insurance become as data-driven as any vertical industry. And it’s become a hyper-competitive business, so enhancing customer service through data is critical for maintaining customer loyalty. Must I pick just one? ??

Insurance 150

Insurance Risk IoT Cost-Benefit 150

The Unofficial Google Data Science Blog

APRIL 16, 2019

by MICHAEL FORTE Large-scale live experimentation is a big part of online product development. This means a small and growing product has to use experimentation differently and very carefully. This blog post is about experimentation in this regime. Such decisions involve an actual hypothesis test on specific metrics (e.g.

Experimentation 68

Experimentation Sales Metrics Measurement 68

Occam's Razor

AUGUST 12, 2013

Last Interaction/Last Click Attribution model. First Interaction/First Click Attribution Model. We have fought valiant battles, paid expensive consultants, purchased a crazy amount of software, and achieved an implementation high that is quickly, followed by a " gosh darn it where is my return on investment from all this?"

Modeling 161

Modeling Optimization Marketing Interactive 161

AWS Big Data

JULY 26, 2023

Using augmented ML search and generative AI with vector embeddings Organizations across all verticals are rapidly adopting generative AI for its ability to handle vast datasets, generate automated content, and provide interactive, human-like responses.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

The Unofficial Google Data Science Blog

JULY 31, 2016

To figure this out, let's consider an appropriate experimental design. In other words, the teacher is our second kind of unit, the unit of experimentation. This type of experimental design is known as a group-randomized or cluster-randomized trial. The second source of dependence comes from student interactions.

Experimentation 42

Experimentation Testing Measurement Metrics 42

AWS Big Data

NOVEMBER 14, 2023

With a combination of low-latency data streaming and analytics, they are able to understand and personalize the user experience via a seamlessly integrated, self-reliant system for experimentation and automated feedback. Data is a key strategic asset for every organization, and every company is a data business at its core.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

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. and dig into details about where science meets rhetoric in data science. Here’s our CFP , open through February 26. hill climbing ) ( Clue #1 ).

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Sisense

MAY 18, 2021

When you discover data that means something, you need to be agile enough to make experimental changes.”. Mistake #3: Making vanity metrics your main event. If marketing were an apple pie, data would be the apples — without data supporting your marketing program, it might look good from the outside, but inside it’s hollow.

Marketing 52

Marketing Data Analytics Analytics Metrics 52

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

This kind of decision making must address particular kinds of uncertainty. Wrestling with uncertainty characterizes the unique experience of doing DS. It explains why answering an innocuous question ("Which content verticals have low quality?") takes longer than what the asking executive thinks it should take (". Vignette: Data Science at fluff.ai

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

Domino Data Lab

JUNE 10, 2020

The Workspace user experience has been redesigned to make data scientists much more productive when doing interactive exploratory analysis. The Workbench is the core of the Domino platform, enabling collaborative R&D for data science teams with the tools and languages they already know and trust.

Data Science 82

Data Science Enterprise Experimentation Modeling 82

Occam's Razor

AUGUST 13, 2012

That means: All of these metrics are off. We all have smart phones, laptops, tablets and soon Smart TVs – but most of our measurements are usually done in Cookies that are device/browser specific. That is the solution. The only challenge is that it is not easy, and everyone wants easy. What you are asking for is impossible.

Modeling 124

Modeling Metrics Data Quality Data-driven 124

Occam's Razor

JULY 26, 2010

PALM: People Against Lonely Metrics]. So why not your metrics? This is the problem with lonely metrics. Why not find a BFF for your lonely metric and present something like this. I found a "you complete me" for my Visits metric, Bounce Rate. You would make different recommendations right? You betcha!

Metrics 96

Metrics Measurement Dashboards Reporting 96

Occam's Razor

MARCH 23, 2010

There are more mistruths and F U D about Web analytics out there than I think is reasonable. Part of it fueled by Vendors. What a competitive bunch! Part of it fueled by some Consultants. I suppose the rational is: self preservation before all else. This is sad. Even a little frustrating. It has simply not had a break to catch a breath and mature.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Cloudera

JUNE 6, 2019

When a mix of batch, interactive, and data serving workloads are added to the mix, the problem becomes nearly intractable. Over time, workloads start processing more data, tenants start onboarding more workloads, and administrators (admins) start onboarding more tenants. Cloudera Manager 6.2

Metadata 85

Metadata Data Lake Optimization Strategy 85