IBM Big Data Hub

DECEMBER 14, 2023

It is very easy to turn a terraform template into a deployable architecture and open the door to cost optimization, compliance management, self-service, standardization and repeatability. The extension of the CIO office’s dedicated data center to the IBM public cloud allowed for experimentation and growth with zero risk.

Experimentation 72

Experimentation Testing Software Management 72

Cloudera

APRIL 9, 2021

This is part 4 in this blog series. This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The second blog dealt with creating and managing Data Enrichment pipelines. A/B testing).

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

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. Just-in-Time” manufacturing increases production while optimizing resources. Issue detected?

Manufacturing 87

Manufacturing Testing Experimentation Data Quality 87

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. AGI wouldn’t just perceive its surroundings; it would understand them.

Cost-Benefit 95

Cost-Benefit Modeling Manufacturing Interactive 95

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

A/B testing is used widely in information technology companies to guide product development and improvements. For questions as disparate as website design and UI, prediction algorithms, or user flows within apps, live traffic tests help developers understand what works well for users and the business, and what doesn’t.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

DataRobot Blog

JANUARY 10, 2023

ML model builders spend a ton of time running multiple experiments in a data science notebook environment before moving the well-tested and robust models from those experiments to a secure, production-grade environment for general consumption. Capabilities Beyond Classic Jupyter for End-to-end Experimentation. Auto-scale compute.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

Cloudera

FEBRUARY 16, 2022

They define each stage from data ingest, feature engineering, model building, testing, deployment and validation. By logging the performance of every combination of search parameters within an experiment, we can choose the optimal set of parameters when building a model. This supports automation, consistency and reproducibility.

Machine Learning 81

Machine Learning Modeling Metadata Recreation/Entertainment 81

Occam's Razor

AUGUST 22, 2011

Here you'll find all my blog posts categorized into a structure that will hopefully make it easy for you to discover new content, find answers to your questions, or simply wallow in some excellent analytics narratives. Blogging Experience Articles. + Podcast: Measuring Rich Media (Ajax, Flash / Flex, RSS & Blogs).

KPI 124

KPI Metrics Measurement ROI 124

Ontotext

MARCH 29, 2021

The authors of RDF-star proposed a new short syntax and because of its elegance, GraphDB optimized its persistence to nearly double the loading speed for dataset with lots of statement-level metadata. . : id1 rdf:type rdf:Statement ; 3. rdf:subject :man ; 4. rdf:predicate :hasSpouse ; 5. rdf:object :woman ; 6. webpage <[link] 7.

Metadata 59

Metadata IT Modeling Experimentation 59

Cloudera

MARCH 2, 2022

You can read previous blog posts on Impala’s performance and querying techniques here – “ New Multithreading Model for Apache Impala ”, “ Keeping Small Queries Fast – Short query optimizations in Apache Impala ” and “ Faster Performance for Selective Queries ”. . Analytical SQL workloads use aggregates and joins heavily.

Data Warehouse 86

Data Warehouse Optimization Analytics Sales 86

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. We offer two examples where this may be the case.

Experimentation 95

Experimentation Statistics Testing Strategy 95

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. 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

NOVEMBER 13, 2009

I now have several full time jobs, plus this blog, plus speaking around the world, plus a family, plus… so much more. " This blog post is in three parts: The pitch. Chapter 2 The Optimal Strategy for Choosing Your Web Analytics Soul Mate. Chapter 7 Failing Faster: Unleashing the Power of Testing and Experimentation.

Analytics 71

Analytics Metrics Measurement Testing 71

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

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

Occam's Razor

MAY 15, 2006

There are many types of qualitative data at your disposal including brand buzz, customer satisfaction, net promoter indices, visitor engagement, stickiness, blog-pulse, etc. There is a lot of "buzz" around "buzzy" metrics such as brand value / brand impact, blog-pulse , to name a couple.

Metrics 100

Metrics Experimentation Testing Interactive 100

datapine

MAY 20, 2020

With a powerful dashboard maker , each point of your customer relations can be optimized to maximize your performance while bringing various additional benefits to the picture. Whether you’re looking at consumer management dashboards and reports, every CRM dashboard template you use should be optimal in terms of design.

Dashboards 265

Dashboards Reporting KPI Visualization 265

Occam's Razor

DECEMBER 9, 2009

In this blog post I'll share a unique "case study", more like one person's problem, and my advice to them about how to think about the organization problem. The four pronged real world tested probing and loaded with politics framework to find a home for Web Analytics: 1. Are there standard tools deployed?

Analytics 95

Analytics Data-driven Marketing Sales 95

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 44

Statistics Optimization Modeling Experimentation 44

Occam's Razor

JUNE 6, 2007

It has been such an amazing journey to write the book, and for it to come up almost exactly a year after I started this blog. Experimentation & Testing (A/B, Multivariate, you name it). The book, like this blog, rips up that definition and provides a expanded and more realistic business focused world view.

Analytics 60

Analytics Metrics Marketing Dashboards 60

datapine

FEBRUARY 4, 2020

As we have already talked about in our previous blog post on sales reports for daily, weekly or monthly reporting, you need to figure out a couple of things when launching and executing a marketing campaign: are your efforts paying off? 1) Blog Traffic And Blog Leads Report. click to enlarge**.

Reporting 280

Reporting Marketing Advertising Metrics 280

O'Reilly on Data

MARCH 23, 2023

Many of these go slightly (but not very far) beyond your initial expectations: you can ask it to generate a list of terms for search engine optimization, you can ask it to generate a reading list on topics that you’re interested in. It was not optimized to provide correct responses. It has helped to write a book.

IT 262

IT Modeling Testing Risk 262

AWS Big Data

MAY 24, 2023

When you build your transactional data lake using Apache Iceberg to solve your functional use cases, you need to focus on operational use cases for your S3 data lake to optimize the production environment. The following examples are also available in the sample notebook in the aws-samples GitHub repo for quick experimentation.

Data Lake 81

Data Lake Snapshot Metadata Optimization 81

The Unofficial Google Data Science Blog

APRIL 16, 2019

by MICHAEL FORTE Large-scale live experimentation is a big part of online product development. In fact, this blog has published posts on this very topic. This means a small and growing product has to use experimentation differently and very carefully. This blog post is about experimentation in this regime.

Experimentation 68

Experimentation Sales Metrics Measurement 68

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. Optimized business continuity. What is cloud-optimized? Cloud testing.

Cost-Benefit 52

Cost-Benefit Data Processing Optimization Consulting 52

Cloudera

JUNE 6, 2019

This strategy works well for managing internal chargebacks, limiting the impact of less sophisticated users on more experienced users, and overall encouraging individuals to think about and optimize their jobs and queries now that they have a smaller (but dedicated) cluster. 2) By workload type. 3) By workload priority.

Metadata 85

Metadata Data Lake Optimization Strategy 85

O'Reilly on Data

JULY 25, 2023

So far I’ve read a gazillion blog posts about people’s experiences with these AI coding assistance tools. Swift Papers felt like a well-scoped project to test how well AI handles a realistic yet manageable real-world programming task. This choice also inspired me to call my project Swift Papers.

Consulting 246

Consulting Interactive Software IT 246

Domino Data Lab

MAY 8, 2019

Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. Other good related papers include: “ Towards A Rigorous Science of Interpretable Machine Learning ”.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Occam's Razor

OCTOBER 19, 2010

I was reflecting on that recently and thought it was incredible that in all my years of writing this blog I have never written a blog post, not one single one (!!), My goal is to give you a list of tools that I use in my everyday life as a practitioner (you'll see many of them implemented on this blog). Disclosure].

Analytics 135

Analytics Testing Measurement Optimization 135

Occam's Razor

MARCH 23, 2010

My problem with these mistruths and FUD is that they result in a ton of practitioners and companies making profoundly sub optimal choices, which in turn results in not just much longer slogs but also spectacular career implosions and the entire web analytics industry suffering. Usually at least a test. This is sad. Likely not.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Occam's Razor

AUGUST 13, 2012

Yehoshua I've covered this topic in detail in this blog post: Multi-Channel Attribution: Definitions, Models and a Reality Check. If you want to make the smartest decisions about your budget allocation then leveraging the time tested methodology of media mix modeling (at its core powered by controlled experiments) is the only way to go.

Modeling 124

Modeling Metrics Data Quality Data-driven 124

Occam's Razor

SEPTEMBER 13, 2016

Like this blog, the newsletter is geared towards being instantly actionable (rather than just theory-smart, which is pretty cool too). Hypothesis development and design of experimentation. Take this as an example… How do you know that this is a profoundly sub-optimal collection of choices to provide? Look for them!

Modeling 127

Modeling Reporting Strategy Consulting 127

Domino Data Lab

AUGUST 26, 2019

This control prevents overfitting and reduction in predictive accuracy on new test data. When hyperparameters are also used for optimization and tuned for a specific dataset, they also impact predictive accuracy. Searching is a very general approach to solving or optimizing problems. In [1]: # setup.

Testing 79

Testing Modeling Machine Learning Metrics 79

Occam's Razor

FEBRUARY 7, 2011

After 416,350 words in posts and 845,128 words in comments on this blog, thus far, there is always more to explore, illuminate and share. It is a great way to stay connected to what's most important to you (and keep the blog and its content relevant!). Find more inspiration at David McCandless's blog Information is Beautiful.

Analytics 94

Analytics Measurement Metrics Predictive Analytics 94

Occam's Razor

JANUARY 9, 2012

You've probably seen these rules sneak into my blog posts. All while constantly optimizing your portfolio via controlled experiments. With 55k RSS Subscribers and 110k Visits a month, this blog could make a few dollars with AdSense or Display ads or annoying interstitials offers. Via incredible daily utility. Heads roll.

Marketing 140

Marketing B2B Measurement Risk 140

Occam's Razor

JANUARY 28, 2013

In this blog post I want to try and do something similar by sharing some of my favorite digital experiences with you. I was listening to my "Write Great Blog Posts" music. beat january , and blog in the site header. This blog runs WordPress. There are 7 in total. Sad, right? I noticed that I was not logged in.

Marketing 164

Marketing Insurance Visualization IT 164

Occam's Razor

OCTOBER 23, 2006

Bonus: Here is a blog post that outlines in detail the difference between reporting and analysis, and shares ideas you can use every day: Rebel! Be incessantly focussed on your company customers and dragging their voice to the table (for example via experimentation and testing or via open ended survey questions). Your Choice?

Data-driven 117

Data-driven Metrics KPI Reporting 117