Alation

MARCH 29, 2022

The request model started to fray. As Business Objects founder Bernard Liautaud notes in e-Business Intelligence: Turning Information Into Knowledge Into Profit (McGraw-Hill, 2001), the lack of ad hoc data access causes IT staff to drown in requests. Slow requirements led technology leaders to demand proactive business intelligence.

Business Intelligence 96

Business Intelligence Reporting Data mining Data-driven 96

Smart Data Collective

SEPTEMBER 19, 2019

This was primarily why Bell Labs’ Vocoder demonstration found its way into the climactic scene of one of the greatest sci-fi flicks of all time – 2001: A Space Odyssey. However, these are very confusing to computer models. They use various predictive models to enhance the user experience.

Machine Learning 81

Machine Learning Technology Deep Learning Predictive Modeling 81

Smart Data Collective

JULY 10, 2019

One of the biggest developments was the implementation of the Medical Information Mart for Intensive Care , which took data from 50,000 patients dating back to 2001. Big data is changing the nature of healthcare. Big data will have an even more profound impact in the near future. Other medical equipment manufacturers agree with this analysis.

Big Data 70

Big Data Measurement Predictive Modeling Manufacturing 70

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. It’s a mess.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Jet Global

DECEMBER 23, 2020

An evolving toolset, shifting data models, and the learning curves associated with change all create some kind of cost for customer organizations. When the company acquired Great Plains Software in 2001, it took ownership of two widely used ERP products – Great Plains and Solomon.

Cost-Benefit 52

Cost-Benefit Data Warehouse Reporting Recreation/Entertainment 52

The Unofficial Google Data Science Blog

JUNE 30, 2016

The choice of space $cal F$ (sometimes called the model ) and loss function $L$ explicitly defines the estimation problem. In the presence of model misspecification, the estimator $hatpsi$ is inconsistent. As a result, estimators that focus on covariate balancing are also susceptible to being inconsistent due to model misspecification.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Domino Data Lab

JULY 22, 2019

how “the business executives who are seeing the value of data science and being model-informed, they are the ones who are doubling down on their bets now, and they’re investing a lot more money.” and drop your deep learning model resource footprint by 5-6 orders of magnitude and run it on devices that don’t even have batteries.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Occam's Razor

APRIL 25, 2011

The issues of course include people and jaded mental models and bureaucracy and a lack of time and the missing desire to be great and org structures, and bosses. Doing anything on the web without a Web Analytics Measurement Model. Your website was created in 1996, updated slightly in 2001, and left to rot ever since.

Marketing 126

Marketing Measurement Metrics Testing 126

AWS Big Data

JULY 26, 2023

Amazon CodeWhisperer is an AI coding companion that uses foundational models under the hood to improve developer productivity. Clawson, Curtis| |1930-08-14| null|2001-10-26| Solomon| male| Gerald|00b73df5-4180-441.|[{S000675, This interactive experience can accelerate building data integration pipelines. C001102, biogui.|[link]

Data Integration 82

Data Integration Interactive Machine Learning Big Data 82

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

O'Reilly on Data

MAY 27, 2020

In 2001, just as the Lexile system was rolling out state-wide, a professor of education named Stephen Krashen took to the pages of the California School Library Journal to raise an alarm. Google’s Model Cards , for instance, include discussion in plain language about the tradeoffs engineers had to make when designing a system.

Risk 356

Risk Testing Measurement Reporting 356

AWS Big Data

OCTOBER 11, 2023

Also, a data model that allows table truncations at a regular frequency (for example, every 15 seconds) to store only relevant data in tables can cause locking and performance issues. Also, the need to derive near-real-time insights within seconds requires frequent materialized view refreshes in this traditional relational database approach.

Management 104

Management Metadata Analytics Dashboards 104

IBM Big Data Hub

JUNE 28, 2023

We are at an inflection point, where we have witnessed 100,000-fold reduction in cost since the human genome was first sequenced in 2001. clinical) using a range of machine learning models. Today, the rate of data volume increase is similar to the rate of decrease in sequencing cost.

Informatics 68

Informatics Consulting Cost-Benefit Data Architecture 68

Domino Data Lab

MAY 20, 2021

In this article we discuss why fitting models on imbalanced datasets is problematic, and how class imbalance is typically addressed. We present the inner workings of the SMOTE algorithm and show a simple “from scratch” implementation of SMOTE. References. Banko, M., & Brill, E. link] Chawla, N.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Jet Global

APRIL 13, 2020

In 2001, a group of software developers got together at a ski resort in the Wasatch mountains of Utah and drew up a document they called the “Agile Manifesto.” They rejected the classic waterfall model of software development in favor of an iterative approach in which initial prototypes are delivered and tested early in the process.

Manufacturing 98

Manufacturing Reporting Finance Forecasting 98

Jet Global

NOVEMBER 10, 2020

The company’s bankruptcy in 2001 and resulting congressional hearings in 2002 hastened the creation of a new consolidation framework in the form of FIN 46(R), introduced by the FASB in 2003. Established by ARB 51, this is referred to as the voting interest entity model. Today, reporting requirements continue to evolve.

Reporting 83

Reporting Risk Modeling Strategy 83

Ontotext

JULY 29, 2021

One of its pillars are ontologies that represent explicit formal conceptual models, used to describe semantically both unstructured content and databases. And while not all knowledge graphs (see Adoption of Knowledge Graphs, late 2019 ) are built the semantic modelling way , they all have benefited from the Semantic Web.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

CIO Business Intelligence

APRIL 22, 2022

11, 2001, terrorist attacks to address issues of cyberterrorism and the information security of nations at large. The American Academy of Project Management (AAPM) has modeled the Master Project Manager (MPM) after the “professional licensure” model that many professions such as pilots, engineers, doctors, and lawyers follow.

Management 111

Management Cost-Benefit Testing Risk 111

Domino Data Lab

AUGUST 8, 2019

Meanwhile, many organizations also struggle with “late in the pipeline issues” on model deployment in production and related compliance. then building machine learning models to recommend methods and potential collaborators to scientists. Across the board, organizations struggle with hiring enough data scientists.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Jet Global

AUGUST 25, 2020

The term originated with Gartner, the global research and advisory firm , back in 2001. Scenario modeling. Instead, it deals with how to communicate and execute your business strategy, usually by establishing specific performance metrics and standardized processes to evaluate and promote performance across the company. Forecasting.

Software 96

Software Metrics Finance Key Performance Indicator 96

Cloudera

SEPTEMBER 4, 2018

Following the September 11th attacks in 2001, focus shifted towards fighting terrorism and terrorist funding. The financial system evolves as new business models emerge and new instruments are introduced into the market. History tells us that the AML landscape is constantly changing.

Reporting 42

Reporting Finance Sales Marketing 42

The Unofficial Google Data Science Blog

AUGUST 27, 2019

2] Lawrence Brown, Tony Cai, Anirban DasGupta (2001). An Introduction to Model-Based Survey Sampling with Applications. [6] In our problem, when we apply post-stratification to importance sampling, we are able to more than triple the count positive items in the sample while reducing the CI width of the estimator by more than 30%.

Metrics 98

Metrics Statistics Uncertainty Optimization 98

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