Information included in this Quarterly Report on Form 10-Q
contains forward-looking statements within the meaning of Section 27A of the
Securities Act of 1933, as amended, and Section 21E of the. | June 10, 2021
Paiblock, a Global FinTech company today announced that it has launched a fully-revamped personal assistant to help consumers make smarter decisions about saving, spending, borrowing and investing.
“Paiblock’s digital assistant is designed to help consumers make good financial decisions.” says Mark Arthur, Founder and CEO of Paiblock. “Keeping a tight leash on spending is the first step toward achieving financial sanity”.
Paiblock unique value proposition cuts across the increasing need to understand and manage debt, investments and savings in ways that are effective on the one hand, and the high demand for automated end-to-end processes that can help unlock new insights that allow consumers to understand their options, on the other hand.
Paiblock, a Global FinTech company today announced that it has launched a fully-revamped personal assistant to help consumers make smarter decisions about saving, spending, borrowing and investing. "Paiblock's
The Go programming language is deemed to be
the most promising programming language today due to its speed and simplicity, and I recommend you to at least get acquainted with it.
Quick Introduction
Generally speaking, Monte Carlo methods (or simulations) consist of a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. This technique is used throughout areas such as physics, finance, engineering, project management, insurance, and transportation, where a numerical result is needed and the underlying theory is difficult and/or unavailable.
It was invented by John von Neumann, Stanisław Ulam, and Nicholas Metropolis, who were employed on a secret assignment in the Los Alamos National Laboratory, while working on a nuclear weapon project called the Manhattan Project. It was named after a well-known casino town called Monaco, since chance and randomness are core to the modeling approach, similar to a game of roulette.
Risk.net
Pilot application to model enterprise risks cuts computation time from 10 years to 30 minutes Print this page
Deutsche Börse has completed a pilot study into the application of quantum computing to calculate proprietary business risks, in a use case that could enter full production within the next three years, according to independent experts.
A study published today (March 10), co-authored by Carsten Schäfer – the exchange’s risk manager for business risk and IT operational risk and a supervisory board member – and fintech firm JoS Quantum, describes a quantum computation for risk sensitivity analysis
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