Jen Stirrup

OCTOBER 30, 2022

These propensity models are useful for understanding which customers are most likely to purchase a given set of products. This model can assist in decision making and in focusing marketing efforts. Microsoft offers Data Mining at no extra cost as part of SQL Server 2005 and 2008, which is geared towards the average Excel user.

Data mining 52

Data mining Predictive Analytics Cost-Benefit OLAP 52

Domino Data Lab

MARCH 27, 2019

For an interactive exploration of how state voting patterns have shifted over time, see this piece by the New York Times. Select all rows from the 2008 election. votes_2008 <- filter(presidentialElections, year == 2008). votes_2008 <- presidentialElections[presidentialElections$year == 2008, ].

Statistics 85

Statistics Data Science Visualization IT 85

Jet Global

MARCH 5, 2019

AI, colloquially, is used to refer to a number of computer-powered business decision drivers, including automation (not AI), data modeling (not AI), and reporting and analytics (also not AI). But are those tools powered by artificial intelligence? So what can AI actually do?

Business Intelligence 75

Business Intelligence OLAP Visualization Reporting 75

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

Ontotext

DECEMBER 30, 2022

In 2008, we received a small round of funding and focused on bringing this technology to the market. With our customers top of mind, especially those new to knowledge graphs, we provided interactive user guides to speed understanding and implementation. Ontotext develops re-usable domain models as pre-packaged knowledge graphs.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

Ontotext

DECEMBER 30, 2022

In 2008, we received a small round of funding and focused on bringing this technology to the market. With our customers top of mind, especially those new to knowledge graphs, we provided interactive user guides to speed understanding and implementation.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

datapine

NOVEMBER 19, 2019

This feature hierarchy and the filters that model significance in the data, make it possible for the layers to learn from experience. Working with various touchpoints and sensors, guests benefit from a wealth of tailored park information while receiving bespoke deals, discounts, and offers as they interact with the landscape around them.

Technology 279

Technology Internet of Things IT IoT 279

O'Reilly on Data

MAY 27, 2020

In the 2008 financial crisis, for instance, Wells Fargo bank staff were “steering” some black borrowers toward costly subprime mortgages, even when those borrowers had sterling credit, and would have qualified for a mortgage on far more favorable terms. Census data gives a map of unmet needs, and can also point out discriminatory patterns.

Risk 355

Risk Testing Reporting Measurement 355

The Data Visualisation Catalogue

FEBRUARY 12, 2019

Point of view can be interactively controlled and users can fly through 3-D partitionings but global perspectives require external views of the entire hierarchy. Much of this design was done with virtual reality technology in mind, as various 3D interaction techniques were provided and taken into consideration. 42 – 45.

Visualization 41

Visualization Interactive Modeling Technology 41

CIO Business Intelligence

FEBRUARY 27, 2023

When Greg Greenlee joined the IT industry in 2008, the lack of representation of Black IT professionals among attendees and speakers at tech conferences and events was readily apparent. “It Mentorship as a cornerstone to success For Black IT pros, finding mentorship or sponsorship opportunities in the workplace can be challenging.

Technology 103

Technology Data Processing IT Interactive 103

Data Science and Beyond

JULY 22, 2018

Kaggle was only about predictive modelling competitions back then, and so I believed that data science is about using machine learning to build models and deploy them as part of various applications. It is now much easier to deploy machine learning models, even without a deep understanding of how they work.

Data Science 79

Data Science Machine Learning Statistics Predictive Modeling 79

Jet Global

APRIL 22, 2020

Explore our interactive infographic to reveal valuable insights on how top CFOs are responding from our recent panel discussion, “How to Navigate Your Business Through This Uncertainty.” Revenue declined, but you could model a time when you thought it would start to pick up. How do you put scenario models into action?

Uncertainty 59

Uncertainty Testing Management Modeling 59

CIO Business Intelligence

JUNE 27, 2022

Sentry was started as an open source project by David Cramer in 2008 to provide monitoring services for application developers. David Cramer: I love the open source community so I would build a lot of things in open source to interact with my peers. million developers today. How did that happen?

Software 97

Software Experimentation Testing Marketing 97

AWS Big Data

FEBRUARY 16, 2023

AWS CloudFormation helps you model and set up your AWS resources so you can spend less time managing those resources and more time focusing on your applications that run in AWS. As a QuickSight administrator, you can use AWS CloudFormation templates to migrate assets between distinct environments from development, to test, to production.

Data Warehouse 83

Data Warehouse Sales Visualization Data Processing 83

DataKitchen

MAY 10, 2021

Since 2008, teams working for our founding team and our customers have delivered 100s of millions of data sets, dashboards, and models with almost no errors. Best practices include continuous monitoring of machine learning models for degradations in accuracy. . Tie tests to alerts.

Testing 214

Testing Manufacturing Data Quality Statistics 214

bridgei2i

MAY 26, 2020

You know the markets shake and the accompanying Swine Flu epidemic of 2015 and 2016, the Japanese tsunami and the Thailand floods in 2011 that shook up the high-tech value chain quite a bit, the great financial crisis and the accompanying H1N1 outbreak in 2008-2009, MERS and SARS before that in 2003.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

Occam's Razor

NOVEMBER 18, 2014

Short story #2: Predictive Modeling, Quantifying Cost of Inaction. You get a confusing little thing, but the visualization is interactive. The Treemap, Sunburst and Packedcircle demonstrate three possible paths you can take to go from a table to something much more understandable and much more interactive.

Visualization 143

Visualization Slice and Dice Predictive Modeling Metrics 143

O'Reilly on Data

JULY 15, 2019

In recent posts, we described requisite foundational technologies needed to sustain machine learning practices within organizations, and specialized tools for model development, model governance, and model operations/testing/monitoring. Sources of model risk. Model risk management. Image by Ben Lorica.

Machine Learning 37

Machine Learning Management Enterprise Risk Management 37

O'Reilly on Data

JANUARY 25, 2021

We’ve explored usage across all publishing partners and learning modes, from live training courses and online events to interactive functionality provided by Katacoda and Jupyter notebooks. in 2008 and continuing with Java 8 in 2014, programming languages have added higher-order functions (lambdas) and other “functional” features.

Machine Learning 362

Machine Learning Software Testing Technology 362

Edwin Chen

OCTOBER 23, 2011

A less predictable effect based on the specific interaction between Alice and Inception that accounts for the remainder of the stars (e.g., the specific interaction). And, in fact, modeling these biases turned out to be fairly important: in their paper describing their final solution to the Netflix Prize, Bell and Koren write that.

Metrics 101

Metrics Modeling Interactive IT 101

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. 2008 – Financial crisis : scientists flee Wall St.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Occam's Razor

OCTOBER 14, 2014

See step four in the process for creating your Digital Marketing and Measurement Model.]. If you've read my first book Web Analytics: An Hour A Day, you know that I've advocated this strategy since 2008! There are four reasons, again from Web Analytics: An Hour A Day, from 2008 (!): See Page 269. :).

Key Performance Indicator 133

Key Performance Indicator Metrics Reporting Marketing 133

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

bridgei2i

AUGUST 11, 2020

You know that, when we went through the last business downturn, 2008 in 2009, funny thing happened in 2010 turnover went up dramatically in sales and because companies started hiring again. There’s also going to be challenges and we have no idea how to model this. And so you’ve got to ask yourself a question.

Sales 98

Sales Enterprise B2B Digital Transformation 98

CIO Business Intelligence

MARCH 22, 2022

He is expected to strengthen the company’s cloud solution portfolio, deliver an enhanced cloud experience for customers, and develop industry-specific solutions available on IaaS, PaaS, and SaaS models. He then moved to Capgemini as a consultant in 2008 before joining Hindustan Unilever in 2012. Adani Power names Nitin Rohilla CIO.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

Domino Data Lab

JANUARY 6, 2019

I’ve been teaching data science since 2008 privately for employers – exec staff, investors, IT teams, and the data teams I’ve led – and since 2013, for industry professionals in general. Also, clearly there’s no “one size fits all” educational model for data science. The Berkeley model addresses large university needs in the US.

Data Science 56

Data Science Machine Learning Reporting Visualization 56