DataRobot Blog

MAY 26, 2022

In this post, we will dive deeper into how members from both the first and second line of defense within a financial institution can adapt their model validation strategies in the context of modern ML methods. This may be accomplished through a wide variety of tests, to develop a deeper introspection into how the model behaves.

Risk 52

Risk Modeling Metrics Business Objectives 52

Jen Stirrup

OCTOBER 21, 2019

I am mentoring and leading them, while delivering the project, setting a vision, generating and implementing data strategies, and slowly helping to mould the culture to be more data-driven as well as insight-driven. In the Art of War, one strategy is to decide when to expend your energy and when to conserve energy.

Data-driven 49

Data-driven Marketing Testing Insurance 49

Domino Data Lab

MARCH 3, 2019

While image data has been the stalwart for deep learning use cases since the proverbial “ AlexNet moment ” in 2011-2012, and a renaissance in NLP over the past 2-3 years has accelerated emphasis on text use cases, we note that structured data is at the top of the list in enterprise. Spark, Kafka, TensorFlow, Snowflake, etc.,

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Domino Data Lab

JANUARY 6, 2019

Skills continuing to grow in prominence by 2022 include analytical thinking and innovation as well as active learning and learning strategies. Downey (2011). or Julia (winner of 2018 Wilkinson prize ), most people are focusing on Python for introduction to data science. Examples of data science done well, from A to Z, in notebooks.

Data Science 56

Data Science Machine Learning Visualization Reporting 56

CIO Business Intelligence

APRIL 9, 2025

In Prioritizing AI investments: Balancing short-term gains with long-term vision , I addressed the foundational role of data trust in crafting a viable AI investment strategy. One of the most fundamental tenets of statistical methods in the last century has focused on correlation to determine causation.

Enterprise 102

Enterprise Analytics Experimentation Statistics 102

Occam's Razor

SEPTEMBER 13, 2016

I've added new insights, recommendations, and two bonus lessons on how to do surveys better and a direct challenge to your company's current analytics strategy. Bonus #1: Lessons from Econsultancy/Lynchpin Survey Strategy. If you are curious, here is a April 2011 post: The Difference Between Web Reporting And Web Analysis.

Modeling 128

Modeling Reporting Strategy Consulting 128

Occam's Razor

JUNE 4, 2018

I mean developing and inserting a subtle collection of gentle nudges that can help increase the conversion rate by a statistically significant amount. Speaking of the Four Seasons, consider how sad their nudging strategy is vs. the one that booking.com has on display: All the data you need for this nudge… You already have. I did that.

Strategy 125

Strategy Cost-Benefit Testing Sales 125

Sisense

MAY 4, 2020

These statistics highlight how large the task is to extract, transform, and load data that will be ready for analysis. As long ago as 2011, the McKinsey Global Institute estimated that retailers using data analytics at scale could increase their operating margins by more than 60 percent.

Big Data 78

Big Data Data-driven Snapshot Unstructured Data 78

Occam's Razor

SEPTEMBER 24, 2012

Based on results of value identified for Facebook, optimize their advertising mix strategy for future product launches. You do need people (/one person) inside your company with skills in the Scientific Method, Design of Experiments and Statistical Analysis. My recommendation above is the simplest way to attempt this. Go do that.

Advertising 165

Advertising Metrics ROI Marketing 165

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

1]" Statistics, as a discipline, was largely developed in a small data world. More people than ever are using statistical analysis packages and dashboards, explicitly or more often implicitly, to develop and test hypotheses. This question is statistical or methodological in nature. Know what matters.

Experimentation 62

Experimentation Testing Statistics Metrics 62

Domino Data Lab

JULY 9, 2019

.” And this is one of his papers about “you’re doing it wrong” where he talked about the algorithmic culture that he was observing in the machine learning community versus the generative model community that was more traditional in statistics. Nobody paid any attention to it whatsoever until 2011.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

datapine

AUGUST 29, 2022

He founded the project Apache Storm in 2011, which turned to be “one of the world’s most popular stream processors and has been adopted by many of the world’s largest companies, including Yahoo!, Microsoft, Alibaba, Taobao, WebMD, Spotify, Yelp” according to Marz himself. Stein Kretsinger, founding executive, Advertising.

Big Data 263

Big Data Data Analytics Analytics Data mining 263