CIO Business Intelligence

SEPTEMBER 10, 2024

In 2015, we attempted to introduce the concept of big data and its potential applications for the oil and gas industry. We envisioned harnessing this data through predictive models to gain valuable insights into various aspects of the industry. Early failures can be valuable learning experiences when approached with a growth mindset.

IT 122

IT Risk Risk Management Predictive Modeling 122

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. Using ML models to search more effectively brought the search space down to 102—which can run on modest hardware. For details, see their SIGMOD 2015 paper where Michael Armbrust & co. Model-Driven Data Queries.

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

Ontotext

AUGUST 8, 2024

In use for decades, LIS and LIMS software have typically been built on relational databases with rigid data models. Around 2015, Next-Generation Sequencing (NGS) became an accepted diagnostic tool with data capture that was more complex than a simple point-in-time snapshot. We also blended in some modern software development.

Informatics 64

Informatics Snapshot Software Testing 64

Occam's Razor

OCTOBER 12, 2017

The tiny downside of this is that our parents likely never had to invest as much in constant education, experimentation and self-driven investment in core skills. There is one other video I want you to watch, from the 2015 edition. There is never a boring moment, there is never time when you can’t do something faster or smarter.

Marketing 138

Marketing Analytics Machine Learning Strategy 138

Hurwitz & Associates

JULY 19, 2018

The strategy evolved from earlier corporate moves to streamline HPE’s business, following the split of the traditional HP business in 2015, creating an HP business focused on PCs and printers – and HPE, focused on enterprise infrastructure. Consumption models are changing. Key Takeaways.

Strategy 40

Strategy Data-driven Experimentation Software 40

The Unofficial Google Data Science Blog

JUNE 30, 2016

In an ideal world, experimentation through randomization of the treatment assignment allows the identification and consistent estimation of causal effects. The choice of space $cal F$ (sometimes called the model ) and loss function $L$ explicitly defines the estimation problem. This is often referred to as the positivity assumption.

Statistics 45

Statistics Optimization Modeling Experimentation 45

The Unofficial Google Data Science Blog

MAY 31, 2016

A geo experiment is an experiment where the experimental units are defined by geographic regions. The expected precision of our inferences can be computed by simulating possible experimental outcomes. The model regresses the outcomes $y_{1,i}$ on the incremental change in ad spend $delta_i$.

Advertising 43

Advertising Testing Sales Statistics 43

AWS Big Data

JULY 26, 2023

The vector engine supports the popular distance metrics such as Euclidean, cosine similarity, and dot product, and can accommodate 16,000 dimensions, making it well-suited to support a wide range of foundational and other AI/ML models. Carl has been with Amazon Elasticsearch Service since before it was launched in 2015.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

Occam's Razor

JANUARY 9, 2012

Our mental model has not shifted enough to the existing reality. And yet it is the rare company that is able to get over its mental model from the real (old) world and try imaginative things in the digital world where the rules are different and stacked in your favor. The 2015 Digital Marketing Rule Book. Got your own?

Marketing 142

Marketing B2B Measurement Risk 142

Occam's Razor

SEPTEMBER 15, 2014

Media-Mix Modeling/Experimentation. Media-Mix Modeling/Experimentation. I've covered the value of media-mix modeling (nee. controlled experiments) in the reality check section of my detailed post on multi-channel attribution modeling. I love media-mix modeling. Implement Cross-Device Tracking.

Metrics 143

Metrics Reporting Analytics Marketing 143

O'Reilly on Data

DECEMBER 9, 2019

Recall from my previous blog post that all financial models are at the mercy of the Trinity of Errors , namely: errors in model specifications, errors in model parameter estimates, and errors resulting from the failure of a model to adapt to structural changes in its environment. For example, if a stock has a beta of 1.4

Statistics 31

Statistics Uncertainty Risk Marketing 31

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. Ensure a culture that supports a steady process of learning and experimentation. Problems with training ML models efficiently.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66