Rocket-Powered Data Science

FEBRUARY 15, 2023

encouraging and rewarding) a culture of experimentation across the organization. Most of these rules focus on the data, since data is ultimately the fuel, the input, the objective evidence, and the source of informative signals that are fed into all data science, analytics, machine learning, and AI models. Conduct market research.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

O'Reilly on Data

JULY 28, 2020

In this article, we turn our attention to the process itself: how do you bring a product to market? Without clarity in metrics, it’s impossible to do meaningful experimentation. Experimentation should show you how your customers use your site, and whether a recommendation engine would help the business. Identifying the problem.

Marketing 363

Marketing Experimentation Metrics Testing 363

datapine

JANUARY 31, 2022

Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. Your Chance: Want to try a professional BI analytics software? Experts say that BI and data analytics makes the decision-making process 5x times faster for businesses.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Sisense

MARCH 26, 2021

Newly published research shows that companies aren’t getting the most out of their analytics. Companies surveyed by Harvard Business Review Analytic Services (HBR) report that two of the most important strategic benefits of using data analytics are (1) identifying new revenue and business models and (2) becoming more innovative.

Analytics 98

Analytics Data-driven Dashboards Experimentation 98

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 135

IT Experimentation Cost-Benefit Metrics 135

Sisense

JULY 15, 2020

This article will focus on the AI Research (AIR) team’s effort, specifically an experimental combination of Sisense BloX (actionable embedded analytics ) and Quest (an advanced analytics add-on for Sisense) which we called the SEIR app. Building better advanced analytic apps. Envisioning the SEIR app.

Analytics 90

Analytics Modeling Visualization Dashboards 90

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

Rocket-Powered Data Science

JULY 6, 2021

1) Automated Narrative Text Generation tools became incredibly good in 2020, being able to create scary good “deep fake” articles. 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. will look like).

Machine Learning 279

Machine Learning Data-driven IoT Deep Learning 279

datapine

MAY 20, 2020

Finally, we will show you a real-life example so you can get a visual overview and a clearer picture of the points discussed in this article. At its core, CRM dashboard software is a smart vessel for data analytics and business intelligence – digital innovation that hosts a wealth of insightful CRM reports. Let’s begin.

Dashboards 265

Dashboards Reporting KPI Visualization 265

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. Like this blog, it will be particularly relevant for those who are in digital analytics and digital marketing. Analytical Thinking: Skills, Interviewing, Value.

Marketing 136

Marketing Analytics Machine Learning Strategy 136

Domino Data Lab

OCTOBER 14, 2020

Guest post by Jeff Melching, Distinguished Engineer / Chief Architect Data & Analytics. This article focuses on accelerating model development. Experimentation and collaboration are built into the core of the platform. This ability enhances the efficiency of operational management and optimizes the cost of experimentation.

Experimentation 99

Experimentation Deep Learning Modeling Testing 99

Octopai

MAY 2, 2022

Data analytics ain’t what it used to be. As a data analyst, you’re no longer just providing data analytics services. You’re providing data analytics products. . Today, your business users have the same perspective on data analytics. How do they do it – and what’s the application to data analytics products?

Manufacturing 87

Manufacturing Testing Experimentation Data Quality 87

datapine

FEBRUARY 4, 2020

Below, in the article, we’ve gathered some of the marketing reports templates that can easily be used to perfect the efficiency of generating data and reduce the time needed to create it. As a Forbes article states , “there’s no such thing as ‘set it and forget it’ [in digital marketing]”. 1) Web Analytics Report.

Reporting 280

Reporting Marketing Advertising Metrics 280

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

Rocket-Powered Data Science

JULY 7, 2019

Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics). Edge Computing (and Edge Analytics): Industry 4.0: Algorithm: A set of rules to follow to solve a problem or to decide on a particular action (e.g., See [link]. Industry 4.0

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Cloudera

NOVEMBER 25, 2020

Sample and treatment history data is mostly structured, using analytics engines that use well-known, standard SQL. Combining data from structured, semi-structured, and unstructured analytics services is very challenging, often involving programmatic or manual correlation. Which is invaluable to organizations such as Matthews.

Data Warehouse 59

Data Warehouse Unstructured Data Analytics Visualization 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

O'Reilly on Data

MARCH 19, 2020

The chatbot was one of the first applications of AI in experimental and production usage. As organizations adopt analytic technologies, they’re discovering more about themselves and their worlds. For example, the chatbots topic continues to decline, first by 17% in 2018 and by 34% in 2019. Concluding thoughts.

Deep Learning 281

Deep Learning Machine Learning Data-driven Modeling 281

Ontotext

MAY 18, 2020

Ever since Hippocrates founded his school of medicine in ancient Greece some 2,500 years ago, writes Hannah Fry in her book Hello World: Being Human in the Age of Algorithms , what has been fundamental to healthcare (as she calls it “the fight to keep us healthy”) was observation, experimentation and the analysis of data. will be processed.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

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. " ~ Digital Analytics: "Am I thinking right? " + Strategic Analysis Articles. Interviews.

KPI 124

KPI Metrics Measurement ROI 124

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. At this point I’m resisting an urge to quote and analyze nearly all of that HBR article. Articulating process for data science.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

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. – Lean Analytics: Use Data to Build a Better Startup Faster. About methodology. By Alistair Croll and Benjamin Yoskovitz. .

Big Data 98

Big Data Statistics Experimentation Data Strategy 98

Ontotext

NOVEMBER 2, 2023

This is the future of modern data and analytics and a critical enabler to getting more value and insight out of your data. 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.

IT 69

IT Cost-Benefit Data-driven Technology 69

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. The chat (#CXChat) was on customer experience and emerging technologies. So, become data literate.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

FineReport

DECEMBER 19, 2019

For newbies, a tool with low learning difficulty but powerful analytical performance cannot be better. In addition, Jupyter Notebook is also an excellent interactive tool for data analysis and provides a convenient experimental platform for beginners. Reporting of FineReport. Dashboard of FineReport. From Google.

Knowledge Discovery 98

Knowledge Discovery Visualization Experimentation Reporting 98

Data Science and Beyond

JULY 22, 2018

This article is a short summary of my understanding of the definition of data science in 2018. Numerous articles have been published on the meaning of data science in the past six years. In a recent article , Hernán et al. However, I still call myself a data scientist. But what does it mean? What do I actually do here?

Data Science 79

Data Science Machine Learning Statistics Predictive Modeling 79

Alation

SEPTEMBER 28, 2022

The term has been used a lot more of late, especially in the data analytics industry, as we’ve seen it expand over the past few years to keep pace with new regulations, like the GDPR and CCPA. Teams are better able to conduct research on AI technologies , new analytics tools, and methods and share them in a DataOps environment.

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 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. Companies that succeed at machine learning tend to build on those existing analytics use cases.

Management 110

Management Machine Learning Experimentation Metrics 110

Sisense

JUNE 30, 2019

Additionally, they’ll make sure that the company has the analytics platform needed to pull it all together and present meaningful insights to your users. They may even be instrumental, along with product team members, in helping create embedded analytics that will live right inside your product or service.

Data Strategy 71

Data Strategy Strategy Consulting Experimentation 71

Ontotext

NOVEMBER 6, 2019

This new version sees the release of essential plug-ins: data virtualization, a sophisticated ranking of semantic search results, new types of indexing and advanced graph analytics. GraphDB has always been compliant with W3C standards and an active member of the semantic web community.

Experimentation 45

Experimentation Deep Learning Software Modeling 45

Perceptual Edge

AUGUST 26, 2019

These technologies can enhance analytical thinking, given the emergence of computational search and artificial intelligence (AI) displaying multidimensional data that can be more easily explored with new technologies. Here are a few examples of Pangilinan’s claims: They [i.e., Her case is hollow.

Visualization 52

Visualization Cost-Benefit Interactive Experimentation 52

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 89

Cost-Benefit Modeling Manufacturing Interactive 89

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. ” BTW, that Knuth article from 1983 was probably the first time that I ever saw the word “Web” used as a computer-related meaning. Introduction. BTW, videos for Rev2 are up: [link]. Software writes Software?

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

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

Occam's Razor

SEPTEMBER 19, 2011

If you want to learn more about controlled experiments, and see more examples and a case study, please jump to Chapter 7 and page number 205 in your copy of Web Analytics 2.0. Bonus 2: Google Analytics has a wonderful set of reports called Multi-Channel Funnels. Okay it’s your turn now. What do you find exciting?

Measurement 119

Measurement Advertising Testing Marketing 119

Occam's Razor

APRIL 29, 2013

You end up paying substantial amounts of money to your analytics/big data vendor – for questionable value. If I'm reading lots of articles about how to get pregnant, you could show me an ad related to that (even if I'm a man, I'm actively expressing interest in getting pregnant!).

Marketing 166

Marketing Metrics Advertising Measurement 166

Occam's Razor

FEBRUARY 28, 2017

As you’ve read in the Forbes article, I love storytelling. Bonus: Remember, you can measure profit everyday in Google Analytics! ]. These Marketers write articles and give conference keynotes that obsess about “viewable above-the-fold ads.” See where you are, go up one step. Then one more, then one more. Obsess about identity.

Key Performance Indicator 106

Key Performance Indicator Metrics Measurement Advertising 106