Rocket-Powered Data Science

MARCH 10, 2020

And this: perhaps the most powerful node in a graph model for real-world use cases might be “context”. How does one express “context” in a data model? Hence, the graph model can be applied productively and effectively in numerous network analysis use cases. Ahh, that’s the topic for another article.

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

Cloudera

SEPTEMBER 12, 2018

It was deeply gratifying to see so many organizations deploying the tools and techniques of data science and advanced analytics to solve difficult and important problems. I predict that next year’s competition will be even more amazing as we continue pushing the frontiers of data science forward.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 78

Machine Learning Manufacturing Cost-Benefit Deep Learning 78

CIO Business Intelligence

APRIL 15, 2022

But according to the UK’s Turing Institute, a national center for data science and AI, the predictive tools made little to no difference. But the machine learning models at the heart of the system were trained on 10 years’ worth of resumes submitted to Amazon — most of them from men.

Analytics 145

Analytics Machine Learning Insurance Testing 145

IBM Big Data Hub

DECEMBER 7, 2023

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

OLAP 63

OLAP Slice and Dice Cost-Benefit Data Warehouse 63

Grooper

AUGUST 19, 2019

Connect the Dots Between Data Literacy, ISL, and the Requirements List. Data literacy is solved by a structured program of learning information as a second language (ISL). ISL eliminates data literacy by modeling the way we learn spoken language. Applied analytics Business analytics Machine learning and data science.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Andrew White

JANUARY 11, 2021

Where does the Data Architect role fits in the Operational Model ? Assuming a data architect helps model and guide and assist D&A then they play a key role. As such a head of analytics, BI and data science may emerge. Many data science labs are set up as shared services.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52