The Data Visualisation Catalogue

DECEMBER 13, 2021

Journal of Experimental Psychology: Applied, 4 (2), 119–138. Research Papers. Visual Arrangements of Bar Charts Influence Comparisons in Viewer Takeaways. Koh, E., & Franconeri, S. Neighborhood Perception in Bar Charts. Qu, H., & Sedlmair, M. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems.

Visualization 122

Visualization Experimentation Publishing Interactive 122

O'Reilly on Data

MARCH 31, 2020

You might establish a baseline by replicating collaborative filtering models published by teams that built recommenders for MovieLens, Netflix, and Amazon. It may even be faster to launch this new recommender system, because the Disney data team has access to published research describing what worked for other teams.

Management 332

Management Machine Learning Experimentation Metrics 332

DataRobot Blog

MARCH 16, 2023

We are offering customers rapid experimentation and value identification, with both code-first and no-code approaches. Erick Brethenoux, Anthony Mullen, Published 26 August 2022 The post A New Era of Value-Driven AI appeared first on DataRobot AI Platform.

Experimentation 52

Experimentation Data-driven Measurement Enterprise 52

DataRobot

MARCH 10, 2021

Recently published research papers show the danger of describing your AI systems as autonomous. The experimenters simulated experiences in online travel and online dating, varying the time people waited for a search result. The dictionary definition of automated is “operated by largely automatic equipment. ”.

Experimentation 145

Experimentation Machine Learning Key Performance Indicator Reporting 145

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 97

Experimentation Modeling Finance Reporting 97

Smart Data Collective

JULY 9, 2023

Several organizations and research firms publish e-commerce conversion rate benchmarks based on industry data and trends. Experimentation is the key to finding the highest-yielding version of your website elements. You can find comprehensive E-commerce conversion rate benchmarks here.

Optimization 70

Optimization Data Analytics Analytics Data-driven 70

Smart Data Collective

FEBRUARY 4, 2020

The greatest advantage of AI is that it can digest vast amounts of medical knowledge — from thousands of published reports and scientific papers, say — and devise novel predictions and formulations that would take human researchers years of inefficient experimentation to find.

Experimentation 99

Experimentation Testing Modeling Strategy 99

Data Science 101

JANUARY 15, 2020

Some pitfalls of this type of experimentation include: Suppose an experiment is performed to observe the relationship between the snack habit of a person while watching TV. Bias can cause a huge error in experimentation results so we need to avoid them. This clearly states, there is some error in the reading of the instrument.

Experimentation 96

Experimentation Statistics Measurement Testing 96

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

Data Science and Beyond

APRIL 5, 2021

Well, no one has compiled a meta-post of my public work from 2020 (that I know of), so it’s finally time to publish it myself. My main "day job" focus in 2020 was on being the tech lead for Automattic’s new experimentation platform (ExPlat). Remote work. Technical work. Subscribe to data.blog to get updates!

Experimentation 61

Experimentation Testing Publishing Measurement 61

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

accounting for effects "orthogonal" to the randomization used in experimentation. For example in ads, experiments using cookies (users) as experimental units are not suited to capture the impact of a treatment on advertisers or publishers nor their reaction to it.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

Domino Data Lab

JANUARY 11, 2021

date range) Publishing a scheduled job that runs an underlying piece of code in the Domino environment on a repeating basis. Together, they empower data scientists to access, transform and manipulate data inside any code library they choose to use. Domino Data Lab is the system-of-record for enterprise data science teams.

Recreation/Entertainment 103

Recreation/Entertainment Data Science Data Warehouse Modeling 103

AWS Big Data

JANUARY 9, 2024

This functionality was initially released as experimental in OpenSearch Service version 2.4, To foster an open ecosystem, we created a framework to empower partners to easily build and publish AI connectors. and is now generally available with version 2.9.

Cost-Benefit 89

Cost-Benefit Visualization Modeling Machine Learning 89

Ontotext

JULY 6, 2023

Experimentation with different technical analysis services becomes possible. On top of that, users have an experimentation platform for continuous improvement, offering transparency and explainability when trying to comprehend factors that influence sentiment. The business benefits here are also significant.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Domino Data Lab

AUGUST 6, 2021

Develop: includes accessing and preparing data and algorithms, researching and development of models and experimentation. Deploy: includes validating, publishing and delivering working models into a business environment. This is of primary importance in healthcare and finance, for example.

Data Science 75

Data Science Testing Modeling Publishing 75

Sisense

MARCH 26, 2021

Newly published research shows that companies aren’t getting the most out of their analytics. To achieve this, he says, companies should find ways to lower the cost of experimentation, decrease the time to value, and scale successful experimentation into products quickly.

Analytics 98

Analytics Data-driven Dashboards Experimentation 98

DataRobot Blog

AUGUST 10, 2022

Snowflake provides a state-of the-art data platform for collating and analysing workforce data, and with the combined addition of DataRobot Solution Accelerator models, trusts can have predictive models running with little experimentation — further accelerated by the wide range of supportive datasets available through the Snowflake Marketplace.

Forecasting 52

Forecasting Experimentation Data-driven Risk 52

Data Science 101

OCTOBER 15, 2023

Those vendors are safe due to established revenue elsewhere, but they are under pressure to publish, and you can set your watch to press releases (and generally well meaning if muddled media interpretation) at various cycles relating to public company reporting. This problem can be witnessed in the business strategies of QC companies.

Risk 107

Risk Marketing Consulting Technology 107

Sanjeev Mohan

FEBRUARY 6, 2019

This is the focus of my latest research which published in Jan 2019. GCP has gained acceptance for development and experimentation and more enterprise customers are putting it into production. Is Google Cloud Platform Ready to Run Your Data Analytics Pipeline? So, why did I decide to write on this topic? I am glad you asked.

Data Analytics 49

Data Analytics Analytics Data Governance Experimentation 49

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 84

Machine Learning Modeling Metadata Recreation/Entertainment 84

Octopai

OCTOBER 26, 2022

When DataOps principles are implemented within an organization, you see an increase in collaboration, experimentation, deployment speed and data quality. The DataOps way of publishing new products or updates is called continuous delivery, and it relies heavily on automated processes to do all the grunt work. Let’s take a look.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

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. A framework for building a Graph Center of Excellence will be published in the coming weeks. Most of the leading market research firms consider graph technologies to be a “critical enabler.”

IT 69

IT Cost-Benefit Data-driven Technology 69

Insight

MARCH 12, 2020

There was only one problem: literary agents, the gatekeepers of the publishing industry, kept rejecting the book?—?often Galbraith eventually opted to publish Cuckoo’s Calling through an acquaintance of sorts. but the publishing industry failed to see it. often without even looking at it. In other words, Galbraith had chops?—?but

Modeling 59

Modeling Metadata Publishing Sales 59

Ontotext

NOVEMBER 6, 2019

GraphDB Workbench is the interface for Ontotext’s semantic graph database, which provides the core infrastructure including modelling agility, data integration, relationship exploration and cross-enterprise semantic data publishing and consumption.

Experimentation 45

Experimentation Deep Learning Software Modeling 45

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 95

Experimentation Statistics Testing Strategy 95

DataRobot

APRIL 19, 2021

There is some recently published research about the ability of data scientists to discover errors. But data scientists are only human, prone to cognitive biases and limited by the amount of their working memory resources or cognitive load.

Machine Learning 52

Machine Learning Visualization Data-driven Modeling 52

Insight

MARCH 27, 2019

To address this problem, Google published AutoAugment last year, which discovers optimized augmentations for the given dataset using reinforcement learning. Discovering the proper method requires time-consuming experimentation. How to integrate into your ML pipeline DeepAugment is published on PyPI.

Optimization 75

Optimization Cost-Benefit Modeling Strategy 75

Insight

APRIL 28, 2020

If the day-to-day involves collaborating on experiments with a technical product manager, they should be able to design a basic experimental framework to measure changes in a hypothetical product’s KPIs. Choose a behavioral screen for roles when you need to gauge the depth and relevancy of a candidate’s experience.

Data-driven 53

Data-driven Data Science Experimentation Measurement 53

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 97

Metadata Data Lake Publishing Data Governance 97

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. To help teams work smarter and do things faster.

Machine Learning 98

Machine Learning Enterprise Experimentation Modeling 98

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 Strategy 68

DataRobot Blog

MARCH 16, 2023

We’ve tightened the loop between ML data prep , experimentation and testing all the way through to putting models into production. Secure, Seamless, and Scalable ML Data Preparation and Experimentation Now DataRobot and Snowflake customers can maximize their return on investment in AI and their cloud data platform.

Modeling 52

Modeling Experimentation Machine Learning Data-driven 52

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 Data-driven Machine Learning 66

CIO Business Intelligence

SEPTEMBER 19, 2023

Columbia University professor David Rogers, author of Digital Transformation Playbook and The Digital Transformation Roadmap , published in September, says it doesn’t have to be that way. They should rather manage through experimentation. CIOs can help their enterprises in this area.

Digital Transformation 128

Digital Transformation Uncertainty Testing Enterprise 128

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

Rocket-Powered Data Science

JULY 6, 2021

MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase. There was some research published earlier in 2020 that found that traditional, less complex algorithms can be nearly as good or better than deep learning on some tasks.

Data-driven 279

Data-driven Machine Learning IoT Deep Learning 279

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