CIO Business Intelligence

JUNE 23, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. And, as Deloitte put it: “Hybrid cloud is the de facto model”. . We live in a hybrid data world. In fact, the total amount of data is expected to nearly triple by 2025.

IT 97

IT Data Architecture Unstructured Data Big Data 97

Occam's Razor

APRIL 8, 2013

Let's listen in as Alistair discusses the lean analytics model… The Lean Analytics Cycle is a simple, four-step process that shows you how to improve a part of your business. Another way to find the metric you want to change is to look at your business model. The business model also tells you what the metric should be.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

Domino Data Lab

APRIL 3, 2019

Instead, we must build robust ML models which take into account inherent limitations in our data and embrace the responsibility for the outcomes. As the story goes, the general history of DG is punctuated by four eras: “Application Era” (1960–1990) – some data modeling, ?though There are models everywhere.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

datapine

APRIL 15, 2020

The term “agile” was originally conceived in 2011 as a software development methodology. 17 software developers met to discuss lightweight development methods and subsequently produced the following manifesto : Manifesto for Agile Software Development: Individuals and interactions over processes and tools.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

Occam's Razor

SEPTEMBER 13, 2016

Bonus #2: The Askers-Pukers Business Model. If you are curious, here is a April 2011 post: The Difference Between Web Reporting And Web Analysis. Ok, maybe statistical modeling smells like an analytical skill. Bonus #2: The Askers-Pukers Business Model. Three thoughts that explain the Econsultancy/Lynchpin graph.

Modeling 127

Modeling Reporting Strategy Consulting 127

Domino Data Lab

AUGUST 22, 2019

The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. While the field of computational linguistics, or Natural Language Processing (NLP), has been around for decades, the increased interest in and use of deep learning models has also propelled applications of NLP forward within industry.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

IBM Big Data Hub

OCTOBER 12, 2023

Early iterations of the AI applications we interact with most today were built on traditional machine learning models. These models rely on learning algorithms that are developed and maintained by data scientists. For example, Apple made Siri a feature of its iOS in 2011.

Machine Learning 68

Machine Learning Deep Learning Interactive Modeling 68

Domino Data Lab

JANUARY 6, 2019

Also, clearly there’s no “one size fits all” educational model for data science. Laura Noren, who runs the Data Science Community Newsletter , presented her NYU postdoc research at JuptyerCon 2018, comparing infrastructure models for data science in research and education. The Berkeley model addresses large university needs in the US.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

IBM Big Data Hub

NOVEMBER 20, 2023

It was introduced in 2011 as an alternative to the SATA and Serial Attached SCSI (SAS) protocols that were the industry standard at the time, and it conveys better throughput than its predecessors. Since 2011, NVMe technology has distinguished itself through its high bandwidth and blazing-fast data transfer speeds. What is NVMe?

Internet of Things 65

Internet of Things Enterprise Technology IoT 65

Sisense

NOVEMBER 26, 2019

Software is eating the world, as Marc Andreessen famously stated in his 2011 WSJ article , and the cloud is the main mechanism for that push these days. Startups being built today exist entirely on the cloud and are capable of running from anywhere and scaling to support any number of users without human interaction.

Digital Transformation 93

Digital Transformation Data-driven ROI Software 93

AWS Big Data

MAY 9, 2023

See the following code: curl --location '[link] Version=2011-06-15& Action=AssumeRoleWithSAML& RoleArn= & PrincipalArn= & SAMLAssertion= ' The response contains the temporary AWS STS credentials with AccessKeyId , SecretAccessKey , and a SessionToken. and all OpenSearch engine versions.

Dashboards 87

Dashboards Data Processing Interactive Modeling 87

Peter James Thomas

AUGUST 12, 2018

A clear parallel would be credit risk in Retail Banking, but something as simple as an estimate of potentially delinquent debtors is an inherently statistical figure (albeit one that may not depend on the output of a statistical model). A model may for example spit out a figure like £12.4 The model is not saying that £12.4

Metrics 49

Metrics Statistics Data Quality Measurement 49

IBM Big Data Hub

NOVEMBER 13, 2023

In 2011, NVMe storage technology was introduced as an alternative to SATA and Serial Attached SCSI (SAS) protocols, which had been the industry standard for several years. Top-performing NVMe drives exceed 3,000 megabytes per second (MB/s), and some of the newer models can reach up to 7,500 MB/s. Storage capacity: NVMe and SATA M.2

Internet of Things 73

Internet of Things Technology Enterprise Marketing 73

Domino Data Lab

SEPTEMBER 18, 2019

This post covers data exploration using machine learning and interactive plotting. Models are at the heart of data science. Data exploration is vital to model development and is particularly important at the start of any data science project. Interactive Data Visualization in Python. Introduction. fill=True,).:

Visualization 99

Visualization Interactive Machine Learning Data Science 99

Domino Data Lab

JULY 9, 2019

Diving into examples of building and deploying ML models at The New York Times including the descriptive topic modeling-oriented Readerscope (audience insights engine), a prediction model regarding who was likely to subscribe/cancel their subscription, as well as prescriptive example via recommendations of highly curated editorial content.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Juice Analytics

MARCH 22, 2021

This collection of world-class data stories demonstrates how to combined data visualization, interactivity, and classic storytelling. Buy or Rent by The Upshot An interactive calculator that lets the user answer a basic and important financial question. Once again, the NYT design team delivers an interactive lesson with data.

Visualization 135

Visualization Interactive Statistics Forecasting 135

O'Reilly on Data

MAY 21, 2019

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. For example, in a July 2018 survey that drew more than 11,000 respondents, we found strong engagement among companies: 51% stated they already had machine learning models in production.

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238

AWS Big Data

APRIL 5, 2023

Showpad built new customer-facing embedded dashboards within Showpad eOSTM and migrated its legacy dashboards to Amazon QuickSight , a unified BI service providing modern interactive dashboards, natural language querying, paginated reports, machine learning (ML) insights, and embedded analytics at scale. With QuickSight, we pay for usage.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

O'Reilly on Data

MAY 11, 2020

Not all models are created equal, however: they operate on different principles, and impact us as individuals and communities in different ways. To understand the menagerie of models that are fundamentally altering our individual and shared realities, we need to build a typology, a classification of their effects and impacts.

Modeling 189

Modeling Advertising Recreation/Entertainment Metrics 189