CIO Business Intelligence

APRIL 25, 2024

Fits and starts As most CIOs have experienced, embracing emerging technologies comes with its share of experimentation and setbacks. CIOs in every vertical can take a tip or two from the lessons LinkedIn learned along the way. The same technique is also used for calling non-LinkedIn APIs like Bing search and news.”

IT 137

IT Experimentation Cost-Benefit Metrics 137

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

3AG Systems

DECEMBER 8, 2022

In 2022, Harvard Business Review posted an article by Thomas H. When the Data Scientist role “was relatively new” in 2012, the authors observed that “as more companies attempted to make sense of big data, they realized they needed people who could combine programming, analytics, and experimentation skills.”

Data Science 40

Data Science Experimentation Machine Learning Big Data 40

Smart Data Collective

JULY 9, 2023

This article is going to provide some great insights on developing strategies for unlocking additional value from an online business, which can do a lot to boost revenue and catapult the enterprise to new heights. Experimentation is the key to finding the highest-yielding version of your website elements.

Optimization 73

Optimization Data Analytics Analytics Data-driven 73

IBM Big Data Hub

MARCH 27, 2024

This article explores an innovative way to streamline the estimation of Scope 3 GHG emissions leveraging AI and Large Language Models (LLMs) to help categorize financial transaction data to align with spend-based emissions factors.

Experimentation 83

Experimentation Modeling Deep Learning Data-driven 83

The Data Visualisation Catalogue

DECEMBER 13, 2021

Read more here in this Stephen Few article. Journal of Experimental Psychology: Applied, 4 (2), 119–138. Make sure to start the value axis at 0, as truncation can exaggerate the differences between bars. Avoid drawing the bars too narrow, as this focuses attention on the negative space more rather than on the bars.

Visualization 115

Visualization Experimentation Publishing Interactive 115

CIO Business Intelligence

DECEMBER 19, 2023

In researching this article, I found gaps where CIOs promised capabilities to stakeholders, but implementations and business impacts have lagged expectations. If CIOs don’t improve conversions from pilot to production, they may find their investors losing patience in the process and culture of experimentation.

Digital Transformation 141

Digital Transformation Unstructured Data Machine Learning Risk Management 141

Smart Data Collective

OCTOBER 13, 2022

This article explores the possibilities and limits of AI in research and development. These patterns could then be used as the basis for additional experimentation by scientists or engineers. AI helps companies find ways to improve their product development processes. Use of AI in Research. Generative Design.

Testing 113

Testing Cost-Benefit Experimentation Optimization 113

CIO Business Intelligence

JUNE 28, 2023

In a recent article , Rajeev Ronanki, CEO of Lyric and author of bestseller You and AI , attributes the failure of a 2013 joint venture between MD Anderson and IBM Watson Health to the wrong mindset. Experimentation with a use case driven approach. Building the right mindset is key.

Enterprise 52

Enterprise Experimentation Risk Data-driven 52

IBM Big Data Hub

MARCH 4, 2024

This culture encourages experimentation and expertise growth. For example, by using compliance control scanning of terraform templates to fail provisioning if controls are not met. An AI+ enterprise also recognizes that alongside the necessary tools, fostering a culture that embraces AI and trains talent is crucial.

Enterprise 109

Enterprise ROI Risk Strategy 109

Smart Data Collective

JUNE 21, 2023

Last summer, we wrote an article about the ways that artificial intelligence is changing video editing software. This frees up time for experimentation and achieving superior results. The market for AI software is booming. Precedence Research States that the market was worth $138 billion last year and it is growing exponentially.

Software 77

Software Technology Experimentation Data-driven 77

Data Science and Beyond

DECEMBER 23, 2018

The book focuses on randomised controlled trials and well-defined interventions as the basis of causal inference from both experimental and observational data. Hence, the book is full of practical examples. A call for less casual causal inferences.

Deep Learning 103

Deep Learning Experimentation Data-driven Data Science 103

Decision Management Solutions

DECEMBER 17, 2021

In the recent McKinsey article discussing designing next-generation credit-decisioning models they outlined four best practices for automated credit-decisioning models for banks as they continue their digital transformations. Digital lending based on high-performance credit-decisioning models, says McKinsey, lead to: Increased revenue.

Modeling 52

Modeling Experimentation Visualization Risk 52

Dataiku

APRIL 22, 2022

For companies with small datasets and a mandate to move beyond experimentation, Frugal AI promises to be a way to overcome this challenge. In this article, we took a back-to-basics look at one aspect of Frugal AI.

Experimentation 59

Experimentation Modeling Business Objectives Manufacturing 59

Ontotext

JULY 6, 2023

Adding signals from unstructured content Now we want to enrich this data with signals from unstructured content – in this case, news articles. Experimentation with different technical analysis services becomes possible. It incorporates the knowledge of Subject Matter Experts and ensures accurate sentiment measurements.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Rocket-Powered Data Science

JULY 7, 2019

Computer Vision: Data Mining: Data Science: Application of scientific method to discovery from data (including Statistics, Machine Learning, data visualization, exploratory data analysis, experimentation, and more). This includes the specific criteria the program uses to arrive at a decision.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

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. But the approaches and principles that form the basis of DataOps have been around for decades.

Manufacturing 87

Manufacturing Testing Experimentation Data Quality 87

Sisense

MARCH 26, 2021

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. Charles articulated this in a 2019 article in which he considered invisible analytics and embedded insights to be the future of business intelligence.

Analytics 98

Analytics Data-driven Dashboards Experimentation 98

O'Reilly on Data

MARCH 19, 2020

The chatbot was one of the first applications of AI in experimental and production usage. 1] This article is based on non-personally-identifiable information about the top search terms and most-used topics on O’Reilly online learning. For example, the chatbots topic continues to decline, first by 17% in 2018 and by 34% in 2019.

Deep Learning 276

Deep Learning Machine Learning Data-driven Modeling 276

The Unofficial Google Data Science Blog

JANUARY 16, 2018

by SANGHO YOON In this article, we discuss an approach to the design of experiments in a network. Experimentation on networks A/B testing is a standard method of measuring the effect of changes by randomizing samples into different treatment groups. This simulation is based on the actual user network of GCP.

Testing 58

Testing Experimentation Measurement Modeling 58

Domino Data Lab

APRIL 7, 2019

If you are in research, excellent libraries like Allen NLP and NLP Architect are designed to make experimentation easier, although at the expense of feature completeness, speed and robustness. This article is intended to be a useful cheat sheet for narrowing down your choice. We assume that you need to build production-grade software.

Deep Learning 110

Deep Learning Machine Learning Experimentation Modeling 110

FineReport

DECEMBER 11, 2019

The article is interspersed with rich columns and pictures, introduces the basic business principles in a simple way with real cases from many companies and entrepreneurs around the world. – Head First Data Analysis: A learner’s guide to big numbers, statistics, and good decisions. By Michael Milton.

Big Data 98

Big Data Statistics Experimentation Data Strategy 98

O'Reilly on Data

MAY 14, 2020

In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager. In this article, we shift our focus to the AI Product Manager’s skill set, as it is applied to day to day work in the design, development, and maintenance of AI products.

Management 363

Management Experimentation B2B Machine Learning 363

Cloudera

FEBRUARY 16, 2022

In this article, we explore model governance, a function of ML Operations (MLOps). 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. Model Visibility.

Machine Learning 81

Machine Learning Modeling Metadata Recreation/Entertainment 81

O'Reilly on Data

SEPTEMBER 11, 2018

Principles for ethical data handling (and human experimentation in general) always stress "informed consent"; Nissenbaum’s discussion about context suggests that informed consent is less about usage than about data flow. These aren’t problems to be solved in a short article. What might that responsibility mean? How does data flow?

Advertising 166

Advertising Insurance Experimentation Strategy 166

FineReport

DECEMBER 19, 2019

In addition, Jupyter Notebook is also an excellent interactive tool for data analysis and provides a convenient experimental platform for beginners. If you want a more comprehensive getting started guide for data analysis, you can refer to the following articles: Data Analysis Practice Guide: How to Begin? From Google.

Knowledge Discovery 98

Knowledge Discovery Visualization Reporting Experimentation 98

Occam's Razor

AUGUST 22, 2011

" + Strategic Analysis Articles. Tactical Analysis Articles. Blogging Experience Articles. + Book Articles. Misc Articles. In each section the listing is from the latest article to the earliest. " Strategic Analysis Articles. Tactical Analysis Articles. Blogging Experience Articles.

KPI 124

KPI Metrics Measurement ROI 124

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. Future articles will explore the importance of a Graph Center of Excellence. Most of the leading market research firms consider graph technologies to be a “critical enabler.”

IT 69

IT Cost-Benefit Data-driven Technology 69

Depict Data Studio

JULY 13, 2021

Today’s article comes from Maryfrances Porter, Ph.D. & Data Teams are for answering questions in real life; experimental design and statistics are for answering scientific questions. ( & Alison Nagel, Ph.D of Partnerships for Strategic Impact. Ask us more about Data Teams! We love to talk about them!).

Statistics 98

Statistics Testing Recreation/Entertainment Experimentation 98

Business Over Broadway

MAY 22, 2019

Below is a list of topics, answers and articles in support of a recent Tweet Chat in which I was the guest. I have included the topics of discussion, some of my answers and a list of articles in support of the week’s topic. Also, here is an article about 1 0 digital transformation influencers that will change your world.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

DataRobot Blog

JULY 28, 2022

This article presents a case study of how DataRobot was able to achieve high accuracy and low cost by actually using techniques learned through Data Science Competitions in the process of solving a DataRobot customer’s problem. I thought of the solutions of the top team in a Data Science Competition for LANL Earthquake Prediction.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

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

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. It analyzes historical data and news articles, confirming a possible market correction.

Cost-Benefit 97

Cost-Benefit Modeling Manufacturing Interactive 97

Ontotext

NOVEMBER 6, 2019

At the same time, the community there is of users can share the best practices, enabling the cross-pollination of the most successful and most fruitful results of their experimentation.

Experimentation 45

Experimentation Deep Learning Software Modeling 45

Insight

APRIL 28, 2020

In this article, we share some data-driven advice on how to get started on the right foot with an effective and appropriate screening process. Article by Adam Azzam. Originally posted on Open Data Science (ODSC). 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

Domino Data Lab

AUGUST 5, 2019

The article focuses on 1) proposed frameworks for defining and designing for ethics and for understanding the forces that encourage industry to operationalize ethics, as well as 2) proposed ethical principles for data scientists to consider when developing data-empowered products. data munging, building models, etc.).

Data Science 93

Data Science Data-driven Modeling Machine Learning 93

Sisense

JUNE 30, 2019

Encouraging a culture of experimentation is key to finding new ways to use data to drive revenue and keep your company competitive. By now your head is probably spinning with all the potential challenges and opportunities of your data strategy (whether you had one when you started reading this article or not).

Data Strategy 71

Data Strategy Strategy Consulting Experimentation 71