Data Collection Digital Transformation Internet of Things IT 
Cloudera
JANUARY 20, 2021
Digital transformation is a hot topic for all markets and industries as it’s delivering value with explosive growth rates. This is the first in a six-part blog series that outlines the data journey from edge to AI and the business value data produces along the journey. Data Collection Challenge.
Rocket-Powered Data Science
MARCH 19, 2021
How to make smarter data-driven decisions at scale : [link]. The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. We no longer should worry about “managing data at the speed of business,” but worry more about “managing business at the speed of data.”.
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CIO Business Intelligence
APRIL 27, 2023
Artificial intelligence and machine learning (AI/ML) were not advanced enough to accurately capture, organize, and interpret the data to make accurate recommendations. We’ve seen how it can gather and organize telemetry data collected from all parts of a company’s network. There were also limitations in technology.
Rocket-Powered Data Science
MARCH 10, 2020
. “Shocking Amount of Data” An excerpt from my chapter in the book: “We are fully engulfed in the era of massive data collection. All those data represent the most critical and valuable strategic assets of modern organizations that are undergoing digital disruption and digital transformation.
CIO Business Intelligence
AUGUST 25, 2023
That’s when P&G decided to put data to work to improve its diaper-making business. But things go awry and when they do, Proctor & Gamble now employs its Hot Melt Optimization platform to catch snags and get the process back on track. That’s why The Proctor & Gamble Co.
Rocket-Powered Data Science
JULY 6, 2021
In at least one way, it was not different, and that was in the continued development of innovations that are inspired by data. This steady march of data-driven innovation has been a consistent characteristic of each year for at least the past decade. 2) MLOps became the expected norm in machine learning and data science projects.
CIO Business Intelligence
AUGUST 16, 2023
But today, Svevia is driving cross-sector digitization projects where new technology for increased safety for road workers and users is tested. When I came in three years ago, it was with the task of digitizing the company,” says Svevia CIO Maria Wester. “In We wanted to create an information supply for the entire company, though.”
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