CIO Business Intelligence

JANUARY 17, 2024

The company has been on a continuous journey to adapt its internal and external processes to new business needs and opportunities since 2001.” Reporting standardization One of Ipsos’ latest digital transformation-related projects is the move of its reporting and analytics to a standard digital delivery platform. js and React.js.

Digital Transformation 113

Digital Transformation Dashboards Reporting Data Science 113

IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Domino Data Lab

JULY 22, 2019

He was saying this doesn’t belong just in statistics. He also really informed a lot of the early thinking about data visualization. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. Predictive analytics, yeah, not so much.”

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

JANUARY 6, 2019

This is especially the case in data science; most enterprise organizations simply cannot hire enough of the data analytics talent they need therefore, so much of these staffing needs must be filled by current employees. Data visualization for prediction accuracy ( credit: R2D3 ). NASA persistently misspells Jupyter. That’s no problem.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Domino Data Lab

AUGUST 8, 2019

He’s been out of Wolfram for a while and writing exquisite science books including Elements: A Visual Explanation of Every Known Atom in the Universe and Molecules: The Architecture of Everything. Consider the following timeline: 2001 – Physics grad students are getting hired in quantity by hedge funds to work on Wall St.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

JULY 9, 2019

The importance of data scientists having analytical technical skills coupled with the ability to clearly and concisely communicate with non-technical stakeholders. In 2001, Bill Cleveland writes this article saying, “You are doing it wrong.” I’m just doing analytics of the text. And it works.

Data Science 112

Data Science Machine Learning Advertising Modeling 112