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. We are not currently doing that.”.

Data Lake 109

Data Lake Manufacturing Digital Transformation Machine Learning 109

Jen Stirrup

FEBRUARY 1, 2023

The effects of AI will be magnified in the coming decade as manufacturing, retailing, transportation, finance, health care, law, advertising, insurance, entertainment, education, and virtually every other industry transform their core processes and business models to take advantage of machine learning.

Recreation/Entertainment 63

Recreation/Entertainment Testing Advertising Insurance 63

CIO Business Intelligence

JULY 18, 2023

Along the way, other uses for the parallel-processing capabilities of Nvidia’s graphical processing units (GPUs) emerged, solving problems with a similar matrix arithmetic structure to 3D-graphics modelling. Some of those models are truly gargantuan: OpenAI’s GPT-4 is said to have over 1 trillion parameters.

Manufacturing 97

Manufacturing Forecasting Software Marketing 97

Domino Data Lab

JULY 22, 2019

why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”. But for most enterprise, using machine learning…not really.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

BizAcuity

MAY 10, 2022

2006: Amazon spearheads the cloud initiative, drops EC2 and S3 into the market. EC2 was a more evolved version of a Virtual Machine. Amazon strategically went with the pricing model of ‘on-demand’, allowing developers to pay only as-per their computational needs. Hadoop was developed in 2006. The pain point?

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Domino Data Lab

APRIL 3, 2019

Plus, the more mature machine learning (ML) practices place greater emphasis on these kinds of solutions than the less experienced organizations. That presented an opportunity to learn, putting me in the same position as much of the audience. Cloud gets introduced: Amazon AWS launched in public beta in 2006.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

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. They are applying machine learning to create more intelligent trade claims management.

Data Processing 121

Data Processing Manufacturing Machine Learning Technology 121

Occam's Razor

MARCH 23, 2021

A key part of how this manifested in our work was doing truly super-advanced machine-learning powered analysis to answer hard questions that few can successfully. From 2006: Is Real-Time Analytics Really Relevant? ). This is of course exciting and very cool. That’s the magic. Rather, delightfully, we also look into the future.

Analytics 131

Analytics Scorecard Strategy Testing 131

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. Its machine learning (ML) engine provides automated insights to improve campaign performance and ROI. We work with clients ranging from VC-funded startups to Fortune 500 firms.

Marketing 52

Marketing Dashboards Advertising ROI 52

The Unofficial Google Data Science Blog

APRIL 23, 2024

Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. That is true generally, not just in these experiments — spreading measurements out is generally better, if the straight-line model is a priori correct.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

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 89

Reporting Data Lake Management Optimization 89

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 103

Cost-Benefit Digital Transformation Software Modeling 103

Alation

OCTOBER 12, 2022

Academic Quantitative Analysis represents the next chapter in zip code analysis; this form of analysis focuses on the interplay between variables after they have been operationalized, allowing the analyst to study and measure outcomes ( Quantitative and statistical research methods: from hypothesis to results , Bridgmon & Martin, 2006.).

Statistics 52

Statistics Sales Testing Marketing 52