Timo Elliott

JANUARY 10, 2022

Most people rent skis rather than buying, because it’s easier and cheaper and more convenient — so why not apply that model to more things? I also loved the episode The Race to Zero: Regenerative Business Models for a Sustainable Future. The logic of the argument was very convincing. with the CTO of SAP Fieldglass.

Data Processing 121

Data Processing Manufacturing Machine Learning Technology 121

Occam's Razor

JANUARY 12, 2015

Digital Analytics Ecosystem: Optimal Execution: Three Phases. Digital Analytics Ecosystem: Optimal Execution: Timing Expectations. From the person, me, who created the 10/90 rule all the way back in May 2006 (#omg), it should not be surprising that the importance of the tool is a bit smaller than that of the Big Brains.

Analytics 150

Analytics Slice and Dice KPI Metrics 150

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

MARCH 12, 2012

The current flawed data org structure, its challenges, and the new optimal org structure to truly bring big action to big data. But that can only happen if there is a model that defines the purpose of your sweet big data adventures. " That is the title of my post from June 2006. 01:15 – 04:05 Part 1.

Big Data 127

Big Data Data-driven Unstructured Data Marketing 127

Domino Data Lab

JULY 1, 2021

In this blog post we present the Named Entity Recognition problem and show how a BiLSTM-CRF model can be fitted using a freely available annotated corpus and Keras. The model achieves relatively high accuracy and all data and code is freely available in the article. How to build a statistical Named Entity Recognition (NER) model.

Modeling 111

Modeling Statistics Testing Metrics 111

CIO Business Intelligence

JULY 8, 2022

It’s one of those CIO-plus roles that people talk about,” says Slater, who has served as CIO since 2006. To optimize business on its re-opening, Wolverine IT built supply chain data models using Microsoft Power BI to prioritize which brands it should manufacture first once factories resumed operation.

Data Lake 119

Data Lake Manufacturing Digital Transformation Machine Learning 119

IBM Big Data Hub

FEBRUARY 6, 2024

Today, these three cloud architecture models are not mutually exclusive; instead, they work in concert to create a hybrid multicloud—an IT infrastructure model that uses a mix of computing environments (e.g., on-premises, private cloud, public cloud, edge) with public cloud services from more than one provider.

Cost-Benefit 109

Cost-Benefit Digital Transformation Software Modeling 109

IBM Big Data Hub

MAY 12, 2023

It was launched in 2006 as the first AWS service and manages data as objects instead of a file hierarchy or blocks within sectors and tracks. As AWS S3 usage grows, so does the cost; managing AWS S3 pricing can be complex and frustrating, especially when you’re trying to optimize your business.

Management 52

Management Optimization Data-driven Software 52

AWS Big Data

JUNE 30, 2023

Position 2 was established in 2006 in Silicon Valley and has a clientele spanning American Express, Lenovo, Fujitsu, and Thales. After all that, we were still missing out on proactive analysis that identifies trends and uncovers optimization opportunities. We work with clients ranging from VC-funded startups to Fortune 500 firms.

Marketing 52

Marketing Dashboards Advertising ROI 52

CIO Business Intelligence

AUGUST 12, 2022

Formed from the merger of Thermo Electron and Fisher Scientific in 2006, Thermo Fisher Scientific is one of the world’s largest suppliers of scientific instruments, reagents, and services, with more than 130,000 employees worldwide. Since 2006, it has grown with additional mergers and acquisitions, including Life Technologies Corp.

IT 105

IT Data Lake Sales Interactive 105

O'Reilly on Data

JULY 25, 2023

I’m a professor who is interested in how we can use LLMs (Large Language Models) to teach programming. Here’s how I worked on it: I subscribed to ChatGPT Plus and used the GPT-4 model in ChatGPT (first the May 12, 2023 version, then the May 24 version) to help me with design and implementation.

Consulting 246

Consulting Interactive Software IT 246

The Unofficial Google Data Science Blog

MARCH 31, 2016

KUEHNEL, and ALI NASIRI AMINI In this post, we give a brief introduction to random effects models, and discuss some of their uses. Through simulation we illustrate issues with model fitting techniques that depend on matrix factorization. Random effects models are a useful tool for both exploratory analyses and prediction problems.

Modeling 40

Modeling Statistics Advertising Testing 40

Sisense

APRIL 9, 2019

Originally created in 2006, it’s one of the most popular open source BI tools. The secret to its speed and success in adapting to the current market could be its distributed cloud-storage model, which allows it to process extremely large datasets. That’s something Hadoop excels at. The power to customize Cassandra is in your hands.

Analytics 75

Analytics Software IoT Big Data 75

AWS Big Data

FEBRUARY 2, 2023

Since its launch in 2006, Amazon Simple Storage Service (Amazon S3) has experienced major growth, supporting multiple use cases such as hosting websites, creating data lakes, serving as object storage for consumer applications, storing logs, and archiving data.

Reporting 85

Reporting Data Lake Management Optimization 85

The Unofficial Google Data Science Blog

JULY 11, 2017

SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. This post describes the bsts software package, which makes it easy to fit some fairly sophisticated time series models with just a few lines of R code. by STEVEN L. Forecasting (e.g.

Forecasting 64

Forecasting Statistics Modeling Software 64

Occam's Razor

APRIL 21, 2014

Strategy two… Book two hours with the senior most company leaders who will talk to you, and create the Digital Marketing and Measurement Model. Identify where your company is currently, what the next optimal step is in the ladder and give it all your attention in terms of data analysis or analytics code fixes. Joseph Boisseaux.

Marketing Analytics 131

Marketing Analytics Marketing Analytics Measurement 131

Occam's Razor

DECEMBER 12, 2011

Google Analytics' native funnels are pretty sub optimal, ignore that entire feature.) What key performance indicators are optimal for you? Here's how that picture might look like (from a post I wrote in July 2006!)… And optimizing for that will ensure you win HUGE. Try, test, measure, be rich. Where is it?

Metrics 151

Metrics Key Performance Indicator Measurement Optimization 151

Occam's Razor

FEBRUARY 7, 2011

The best option is to hire a statistician with experience in data modeling and forecasting. Brian Krick: Best way to measure and communicate "available demand" from available channels (social, search, display) for forecast modeling. Alex Cohen: How to optimize with sparse data! Please see the advice above. and finally 3.

Analytics 94

Analytics Measurement Metrics Predictive Analytics 94

Occam's Razor

JANUARY 4, 2016

The specific metric I've been mad about since day one of this blog ( May 14th, 2006! ) Built into that is the mental model that if you visit a website, then every Visit has to result in money for the site owner. While this is a great lesson in the power of defining metrics optimally, why bring this up, one more time, today?

Metrics 88

Metrics Analytics Cost-Benefit Key Performance Indicator 88

Occam's Razor

MARCH 22, 2011

This idea comes via Kaiser Fung, from this post: Further thoughts on the Facebook business model. Our conversion rate calculation, Orders/Visits (bad version) or Orders/Visitors (better version), reflects that, sub optimal, mental model. </sidebar> Command Attention, Valuable Action, By Stating Raw Numbers.

Measurement 87

Measurement Metrics Advertising Marketing 87

CIO Business Intelligence

OCTOBER 11, 2022

Built on Amazon SageMaker , a service to build, train, and deploy ML models, AI Bench has accelerated the pace of innovation and reduced the barrier of entry for machine learning across AstraZeneca. . “We AI and machine learning are helping us optimize that process and reduce the time it takes. AstraZeneca. Artificial Intelligence

Machine Learning 145

Machine Learning Data-driven Testing Data Science 145

Occam's Razor

FEBRUARY 9, 2015

My first blog post on the topic of CIA was on 14th Aug 2006! Is Getty really competing with these sites, given its business model? Not every website is organized optimally for us to benefit from this report, but if it is, then you'll get something like this for Dell.com. It is important that you take this into account.

Metrics 155

Metrics Reporting IT Advertising 155