In the blog “Why Data Management is Today’s Most Important Business Discipline”, I challenged the business and IT communities to reframe the data management conversation; to transform data management from an IT practice into a business discipline focused on leveraging data (and analytics) to deliver business and operational outcomes.
Algorithmic or automated trading refers to trading based on pre-determined instructions fed to a computer – the computers are programmed to execute buy or sell… Read More »How Algorithmic Trading Companies Automate Their Investment Strategy
In this article, let’s discuss how data analysis in investment banking is transforming the way investment banks work, the challenges that they get when engaging in this transformation process, use cases, and more.
An even more significant challenge involves meeting the electrical demands of coming HPC systems and data centers in a sustainable way. Some exascale systems already have energy requirements akin to an entire town.
Utah Governor Spencer J. Cox signed the Utah Consumer Privacy Act (UCPA) into law in March 2022. It has since become only the fourth US state to have its own data protection law after Colorado, Virginia, and California.
As the adage goes, a workman is only as good as his tools. There is no disputing that, but you can never overlook the power… Read More »How to build your data quality team
Cloud computing is a great euphemism for centralization of computer services under one server. – Evgeny Morozov Accounting, also popularly known as bookkeeping, is a… Read More »How Accounting Is Moving to the Cloud
Why do data centers need regular cleaning? Structural components of the data center, like stringers, rack struts, and floor tiles, are electroplated with several metals, especially Zinc. Delicate filament of zinc metals squeeze out minor issues into the surface and thus form zinc whiskers, which can severely damage the functioning of IT equipment.
Text annotations provide models with a better understanding of the data they are given, allowing them to interpret the text more accurately.
What is data transformation? Simply put, data standardization is the process of transforming data values from an incorrect format to a correct one.
