O'Reilly on Data

APRIL 23, 2024

In 2005, in “ What is Web 2.0? ,” I made the case that the companies that had survived the dotcom bust had all in one way or another become experts at “harnessing collective intelligence.” Yet many of the most pressing risks are economic , embedded in the financial aims of the companies that control and manage AI systems and services.

Advertising 270

Advertising Cost-Benefit Marketing Risk 270

Smart Data Collective

JUNE 16, 2022

Google Analytics wasn’t launched until 2005. Keep reading to learn more about using analytics to optimize your website. Analytics is Crucial for Optimizing Websites. Web optimization positively impacts your revenue, whether you profit from advertising or sales via content distribution.

Analytics 95

Analytics Testing Visualization Analytics Technologies 95

CIO Business Intelligence

MAY 16, 2022

ITIL’s systematic approach to IT service management (ITSM) can help businesses manage risk, strengthen customer relations, establish cost-effective practices, and build a stable IT environment that allows for growth, scale, and change. How does ITIL help business?

IT 105

IT Cost-Benefit ROI Risk 105

Smart Data Collective

FEBRUARY 28, 2023

One of the most important changes pertains to risk parity management. We are going to provide some insights on the benefits of using machine learning for risk parity analysis. However, before we get started, we will provide an overview of the concept of risk parity. What is risk parity? What is risk parity?

Machine Learning 84

Machine Learning Risk Cost-Benefit Marketing 84

Cloudera

MAY 18, 2021

These interactions are captured and the resulting synthetic data sets can be analysed for a number of applications, such as training models to detect emergent fraudulent behavior, or exploring “what-if” scenarios for risk management. Value-at-Risk (VaR) is a widely used metric in risk management. Intraday VaR. Citations. [1]

Risk 94

Risk Marketing Risk Management Data-driven 94

Rita Sallam

JULY 22, 2016

Or when Tableau and Qlik’s serious entry into the market circa 2004-2005 set in motion a seismic market shift from IT to the business user creating the wave of what was to become the modern BI disruption. After five minutes of seeing these products back then, I just knew they would change everything!

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Domino Data Lab

JULY 22, 2019

What I’m trying to say is this evolution of system architecture, the hardware driving the software layers, and also, the whole landscape with regard to threats and risks, it changes things. You see these drivers involving risk and cost, but also opportunity. Machine learning is a subset of mathematical optimization.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109