Cloudera

APRIL 13, 2021

Unfortunately, most organizations run into trouble when it comes to bridging the gap that exists between experimentation and full-scale ML production. We recently published a Cloudera Special Edition of Production Machine Learning For Dummies eBook. Optimize later. To help teams work smarter and do things faster.

Machine Learning 98

Machine Learning Enterprise Experimentation Modeling 98

datapine

FEBRUARY 4, 2020

If it has been optimized for SEO though, you shouldn’t stop measuring it after the first week, as it needs a couple of months to reach its “cruising traffic”, and you can get several thousands of monthly visits. Using this data can provide insights on whether your investments are stable or need more optimization to deliver specified targets.

Reporting 280

Reporting Marketing Advertising Metrics 280

The Unofficial Google Data Science Blog

JULY 22, 2020

Instead, we focus on the case where an experimenter has decided to run a full traffic ramp-up experiment and wants to use the data from all of the epochs in the analysis. Companies like Google [2], Amazon [3], and Microsoft [4] have all published scholarly articles on this topic.

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

This is essentially the same as finding a truly useful objective to optimize. accounting for effects "orthogonal" to the randomization used in experimentation. The first thing you’ll want to do is to run your test for a long time with fixed experimental units, in our case cookies.

Modeling 63

Modeling Experimentation Knowledge Discovery KDD 63

Insight

MARCH 27, 2019

It utilizes Bayesian optimization for discovering data augmentation strategies tailored to your image dataset. To address this problem, Google published AutoAugment last year, which discovers optimized augmentations for the given dataset using reinforcement learning. DeepAugment is an AutoML tool focusing on data augmentation.

Optimization 75

Optimization Cost-Benefit Modeling Publishing 75

Occam's Razor

NOVEMBER 2, 2015

When you search for them, if you find them, you end up on sub-optimal landing pages. As with all other Social Networks below, let's take a look at some B2B examples (good and un-good), some B2C examples (good and un-good) and arrive at the optimal answer. We all know that Page Likes is a profoundly sub-optimal metric.

B2B 167

B2B Metrics Recreation/Entertainment Testing 167

AWS Big Data

OCTOBER 4, 2023

An Amazon DataZone domain contains an associated business data catalog for search and discovery, a set of metadata definitions to decorate the data assets that are used for discovery purposes, and data projects with integrated analytics and ML tools for users and groups to consume and publish data assets.

Metadata 119

Metadata Data Lake Publishing Data Governance 119

Occam's Razor

FEBRUARY 26, 2008

Use your customers and competitors to help you move the ball forward (buy a new tool, hire another analyst, kill hideous home pages, spend right amounts on SEM and SEO, publish rich media on your site, implement feedburner , or whatever else you want). 1: Implement a Experimentation & Testing Program. # 6: If All Else Fails. . #

Management 68

Management Experimentation Testing Metrics 68

AWS Big Data

SEPTEMBER 13, 2024

The AWS pay-as-you-go model and the constant pace of innovation in data processing technologies enable CFM to maintain agility and facilitate a steady cadence of trials and experimentation. Finally, CFM uses an AWS Graviton architecture to optimize even more cost and performance (as highlighted in the screenshot below).

Interactive 111

Interactive Strategy Cost-Benefit Data Governance 111

Cloudera

FEBRUARY 16, 2022

It is also possible to create your own AMP and publish it in the AMP catalogue for consumption. Support for multiple sessions within a project allows data scientists, engineers and operations teams to work independently alongside each other on experimentation, pipeline development, deployment and monitoring activities in parallel.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

Occam's Razor

OCTOBER 12, 2017

The tiny downside of this is that our parents likely never had to invest as much in constant education, experimentation and self-driven investment in core skills. The first two are from editions of my newsletter, The Marketing – Analytics Intersect (it goes out weekly, and is now my primary publishing channel, sign up!).

Marketing 138

Marketing Analytics Machine Learning Strategy 138

Occam's Razor

JUNE 6, 2011

1: Figure out the optimal career path for you. So in addition to becoming good at Omniture, Google Analytics, Baidu Analytics , pick one other tool from the Experimentation, Voice of Customer, Competitive Intelligence buckets of Web Analytics 2.0. This might seem odd. Analytics or start pimping your resume left and right.

Analytics 126

Analytics Consulting Statistics Marketing 126

CIO Business Intelligence

APRIL 5, 2023

Midjourney, ChatGPT, Bing AI Chat, and other AI tools that make generative AI accessible have unleashed a flood of ideas, experimentation and creativity. A lot of that work is ripe for automation and AI assistance, but, again, you need to know how and where you’re using these tools to monitor impact and effectiveness.

Modeling 111

Modeling Testing Cost-Benefit Experimentation 111

Ontotext

JULY 6, 2023

The solution also reduces incident response times, optimizes processes and streamlines asset management. Experimentation with different technical analysis services becomes possible. This ensures optimal decision-making and the ability to adapt to changing market dynamics. The business benefits here are also significant.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

CIO Business Intelligence

JUNE 28, 2023

Even among the companies permitting the tools, many are publishing stringent usage guidelines, and are proactively working with technology partners to accelerate access to enterprise-grade solutions with more robust security. Experimentation with a use case driven approach. Business fundamentals still apply.

Enterprise 52

Enterprise Experimentation Risk Data-driven 52

Octopai

OCTOBER 26, 2022

When DataOps principles are implemented within an organization, you see an increase in collaboration, experimentation, deployment speed and data quality. Just-in-Time” manufacturing increases production while optimizing resources. Products should be ready-to-consume, easily accessible and responsive to the consumers’ needs.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

Ontotext

DECEMBER 30, 2022

9 years of research, prototyping and experimentation went into developing enterprise ready Semantic Technology products. We have delivered technology and solutions to global leaders across several sectors: publishing (FT, Elsevier), financial services (S&P), pharma (AstraZeneca), government (UK Parliament) and others.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

Ontotext

DECEMBER 30, 2022

9 years of research, prototyping and experimentation went into developing enterprise ready Semantic Technology products. We have delivered technology and solutions to global leaders across several sectors: publishing (FT, Elsevier), financial services (S&P), pharma (AstraZeneca), government (UK Parliament) and others.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

Ontotext

NOVEMBER 6, 2019

By taking the open source approach, the Workbench can address a wider spectrum of use-cases, creating a higher value for clients and increasing the likelihood that specific non-generic features exist and have been developed to address the real-world problems facing the optimization of semantic data processing and management.

Experimentation 45

Experimentation Deep Learning Software Modeling 45

Occam's Razor

JUNE 6, 2007

I am thrilled to say that my book Web Analytics: An Hour A Day has been published and is now widely available. Experimentation & Testing (A/B, Multivariate, you name it). What's the optimal organization structure (and who should own web analytics!)? Thrilled is perhaps understating it, I am giddy like a schoolgirl.

Analytics 60

Analytics Metrics Marketing Dashboards 60

Ontotext

NOVEMBER 2, 2023

The data itself is stored in a way that is not optimal for extracting insight. 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. A framework for building a Graph Center of Excellence will be published in the coming weeks.

IT 69

IT Cost-Benefit Data-driven Technology 69

Insight

APRIL 28, 2020

When their favorite candidates are hired out from underneath them, they graduate to making the second mistake of optimizing for speed and stop screening candidates altogether. Teams new to hiring often make this mistake of creating long multi-stage screening processes.

Data-driven 53

Data-driven Data Science Experimentation Measurement 53

Cloudera

NOVEMBER 25, 2020

Innovate on serviceability and optimize utilization. A quick and easy way to publish results to others, to accelerate results through active collaboration, even across organizational borders. It would enable faster experimentation with easy, protected, and governed access to a variety of data.

Data Warehouse 59

Data Warehouse Unstructured Data Analytics Visualization 59

AWS Big Data

JULY 26, 2023

We recognize that many of you are in the experimentation phase and would like a more economical option for dev-test. Lastly, we are diligently focused on optimizing the performance and memory usage of the vector graphs, including improving caching, merging and more.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

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 103

Experimentation Testing Optimization Marketing 103

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 69

Experimentation Sales Metrics Measurement 69

Occam's Razor

JANUARY 9, 2012

Lack of loyalty shows simply re-publishing AP stories is useless. All while constantly optimizing your portfolio via controlled experiments. I told 20 people that Nikon's site is slow and profoundly sub-optimal on mobile. We are talking about taking controlled risks and optimization. We expect more. A mobile device!)

Marketing 142

Marketing B2B Measurement Risk 142

O'Reilly on Data

JULY 25, 2023

My student and I recently published a research paper on this topic, which we summarized in our Radar article Teaching Programming in the Age of ChatGPT. I also installed the latest VS Code (Visual Studio Code) with GitHub Copilot and the experimental Copilot Chat plugins, but I ended up not using them much.

Consulting 246

Consulting Interactive Software Metadata 246

Occam's Razor

DECEMBER 12, 2016

Instead, every company should solve for a global maxima… Yes, make the short-term money, it is necessary , but also do the but not sufficient part as well… The above optimal strategy indicates that the company leadership is forward-thinking. This is sub-optimal. Optimal Analytics Team Org Structure. 50% minimum.

Analytics 142

Analytics Data-driven Strategy Consulting 142

IBM Big Data Hub

FEBRUARY 1, 2024

Today, more than 130 central banks are actively exploring CBDCs and publishing periodic reports on the functional and non-functional requirements of CBDC platforms, including the evolving architectural considerations and the outcomes of their various CBDC experimentations.

Experimentation 90

Experimentation Modeling Finance Reporting 90

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

We data scientists now have access to tools that allow us to run a large numbers of experiments, and then to slice experimental populations by any combination of dimensions collected. Make experimentation cheap and understand the cost of bad decisions. This leads to the proliferation of post hoc hypotheses. Consider your loss function.

Experimentation 62

Experimentation Testing Statistics Metrics 62

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. In other words, your talk didn’t quite stand out enough to put onstage, but you still get “publish or perish” credits for presenting.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

Occam's Razor

OCTOBER 23, 2006

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). Web analytics should be owned by a business function, optimally the one that owns the web strategy (not the web site, web strategy). 1: Got Process?

Data-driven 118

Data-driven Metrics KPI Reporting 118

Domino Data Lab

MAY 8, 2019

So much work in machine learning – either on the academic side which is focused on publishing papers or the industry side which is focused on ROI – tends to emphasize: How much predictive power (precision, recall) does the model have? You can define models using a straightforward logical syntax and solve them with fast convex optimization.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Occam's Razor

JULY 26, 2010

Or the Bulletin of Experimental Treatment for AIDS. Maybe Google is really good at Volunteers and not optimal for attracting people who donate. . * SFAF helps prevention through information sharing and providing services. One key way of doing this is providing forms and information as downloads. And what to do better.

Metrics 96

Metrics Measurement Dashboards Reporting 96

O'Reilly on Data

SEPTEMBER 11, 2019

Since 1977, for example, the Institute of Electrical and Electronics Engineers (IEEE) has published the Data Engineering Bulletin , a quarterly journal that focuses on engineering data for use with database systems [2]. It’s more difficult to monitor, control, and optimize data flows in a data-in-motion paradigm.

IoT 26

IoT Big Data Data Warehouse Uncertainty 26

Occam's Razor

MAY 27, 2015

Here are the digital myths that are leading us down a profoundly sub-optimal path: 1. Per our friends at Wikipedia, Programmatic encompasses an array of technologies that automate the buying, placement and optimization of media inventory. Programmatic platforms are a panacea. A data-first strategy is a winning formula. The web is dead.

Marketing Analytics 155

Marketing Analytics Marketing Analytics Advertising 155