NEW YORK & TEL AVIV, Israel--(BUSINESS WIRE)--Pecan AI, the leader in AI-based predictive analytics for BI analysts and business teams, today announced that it has opened its predictive analytics ...
Data architects live in a world caged by bars of process, standards, and documented procedures—things many would consider a high ceremony lifestyle. As an industry, information technology has been ...
The Covid-19 pandemic reminded us that everyday life is full of interdependencies. The data models and logic for tracking the progress of the pandemic, understanding its spread in the population, ...
BOSTON--(BUSINESS WIRE)--AtScale, the leading provider of semantic layer solutions for modern business intelligence and data science teams, today announced new capabilities within its semantic layer ...
Machine learning (ML) is a subset of artificial intelligence (AI) that involves using algorithms and statistical models to enable computer systems to learn from data and improve performance on a ...
With so much attention devoted to the purported wonders of predictive cognitive computing models (typically characterized by classic machine learning and deep learning), it’s easy to lose sight of the ...
A growing number of businesses are embracing data models — abstract models that organize elements of data and standardize how they relate to one another. But as the data analytics and AI boom drives ...
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
As one works through the normal forms, be it a journey to the placid shores of third normal, or the more arid climes of Boyce-Codd normal form, or even the cloudy peaks of fourth normal and beyond—and ...
Data modeling tools are like blueprints for organizing information in a way that makes sense to computers. They help people make sense of complex data by visually representing how different pieces of ...
Semiconductor process engineers would love to develop successful process recipes without the guesswork of repeated wafer testing. Unfortunately, developing a successful process can’t be done without ...
One drawback of working for so long in the data industry is that I often misjudge what people think about when they think about data. Particularly, I've observed a common misunderstanding about ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback