(testing signal)

Tag: banks

Criptomonedas, un problema de falta de adopción

El de las criptomonedas es un problema en el que confluyen economía, política, tecnología y emociones encontradas. Y los análisis se basan en “partidarios” y “detractores”, cuando lo que debería haber es un análisis puramente técnico del asunto, no un debate ideológico.

Las criptomonedas (en concreto Bitcoin) estaban llamadas a generar una nueva economía con más libertad y oportunidades para todos. Pero el hecho cierto es que -de momento- han “amplificado” muchos vicios del sistema fiat: especulación, dinero sin respaldo real, burbujas, etc.

A estas alturas un porcentaje sustancial de negocios debería estar usando Bitcoin en sus operaciones al igual que el público: es evidente que eso no está ocurriendo.… Read more...

Making the Most of Your Resin Printer Investment

To the extent that we think of 3D printers as production machines, we tend to imagine huge banks of FDM machines slowly but surely cranking out parts. These printer farms are a sensible way to turn a slow process into a high-volume operation, but it turns out there’s a way to do the same thing with only one printer — as long as you think small.
This one comes to us by way of [Andrew Sink], who recently showed us a neat trick for adding a dash of color to resin printed parts. As…

https://hackaday.com/2021/10/06/making-the-most-of-your-resin-printer-investment/…

Want to make money? Become a mathematician. Seriously.

Walk along any city street and you’re overwhelmed by signs proclaiming the importance of banks, greengrocers, fast food, and a thousand other professions. But it’s easy to imagine that maths is irrelevant to today’s world – supermarkets don’t sell mathematics in a can.

Actually, maths underpins our daily lives in thousands of ways. The equations of aerodynamics are vital to aircraft design. Navigation depends on trigonometry. The development of new medicines relies on statistics.

We seldom notice the maths because nearly all of it goes on behind the scenes, but an awful lot of people do need to know the maths to make these things work.


Big Data Analytics: The Role it Plays in the Banking and Finance Sector

The finance industry generates a huge amount of data. Did you know big data in finance refers to the petabytes of structured and unstructured information that helps anticipate customer behaviors and create strategies that support banks and financial institutions? The structured information managed within an organization enables providing key decision-making insights. The unstructured information offers significant analytical opportunities across multiple sources leads that leads to increasing volumes.

The world generates a staggering 2.5 quintillion bytes of data every single day! Seeing the abundance of data we generate, most businesses are now seeking to use this data to their benefit, including the banking and finance sector.


AI Is Starting To Understand Us, But How Well Do We Understand AI?

Artificial intelligence () still often overpromises and underdelivers, but we are seeing begin to understand us and adoption has accelerated rapidly. Are we prepared for what is coming? 

Copyright by www.forbes.com

Will Weed Out My Job?

If you are a truck driver or a travel booking agent, advances in and could potentially make your job redundant. The prospect of digital transformation has caused many traditional stores to struggle, banks to close offices and factories to operate with less personnel.

But much like digitalization and social media created new non-technical jobs (think about influencers), promises to create new employment.


Is Crypto Lending Worth it?

Cryptocurrency is a digital currency in which its transactions are monitored by a system using cryptography as opposed to a central authority like traditional banks. As its popularity grows, cryptocurrency will find its way into many traditional forms of money lending, including loans. In crypto lending, a sum of cryptocurrency is used as collateral. You pledge a certain amount of your cryptocurrency assets to receive the loan, then over time, you pay it back. Unlike traditional loans, you can gain access to your funds in as little as a couple of hours.

Miles Murray Hacker Noon profile picture

In recent years, cryptocurrency has made massive waves in the economy and finance markets.


5 Robotic Process Automation (RPA) Use Cases in Banking and Finance

Robotic Process Automation in Finance and Banking can be defined as the use of robotic applications to augment (or replace) human efforts in the financial sector. The global RPA market was valued at $1.57 billion in 2020 and is expected to rise at a CAGR of 32.8% from 2021 to 2028. Financial RPA can automate a large array of reporting tasks, such as monthly closing, reconciliations, and management reports. RPA software can help banks and accounting departments automate repetitive manual processes.

ITRex Hacker Noon profile picture


Emerging Tech Development & Consulting: Artificial Intelligence. Advanced Analytics. Machine Learning. Big Data. Cloud

Did you know that human error in the financial sector results in 25,000 hours of avoidable rework on average per enterprise and costs $878,000 per year?


3 Questions with BlackBerry’s Director of Data Science

David Relyea is smart (Bachelor of Science from Caltech and a doctorate in physics from Princeton), and that’s a good thing for the security of our electronic devices. As director of data science at BlackBerry, he’s part of a team at the Irvine-based company that provides organizations with software that uses artificial intelligence to stop cybersecurity threats. This software is now used by all G7 nations, all leading commercial banks and nine of the top 10 automotive manufacturers. We asked him three questions:

What’s the future of cybersecurity?

Today’s cybersecurity threats are vast and incredibly smart, many employing artificial intelligence themselves in a weaponized form.


The Theory Of A Multipolar World: A Traditionalist Foreign Policy And Antidote To The “New World Order”

On September 11th 1990, during the ongoing disintegration of the Soviet Union, then US President George Herbert Walker Bush announced the arrival of a “New World Order”. Much ink has been spilt and many-a-video has been made about this phrase by those whose tinfoil hat is fastened around their heads perhaps a little too tightly, and thus have largely misunderstood the implications of this phrase, wound up by hyperbolic conspiracy mongers and distracted by dystopian visions of Satanic orders and a global police state.

That’s not to say that the standardized global order organized by the US commercial empire and it’s various banks, foundations, allies, and “civil society” institutions isn’t dystopian, and fundamentally a rebellion against nature, just that these types conceptualize this problem within the paradigm of – most often classical – liberalism, (usually served with a healthy dose of Protestant evangelism) which serves to distort the entire picture.


Taktile makes it easier to leverage machine learning in the financial industry

Meet Taktile, a new startup that is working on a machine learning platform for financial services companies. This isn’t the first company that wants to leverage machine learning for financial products. But Taktile wants to differentiate itself from competitors by making it way easier to get started and switch to AI-powered models.

A few years ago, when you could read “machine learning” and “artificial intelligence” in every single pitch deck, some startups chose to focus on the financial industry in particular. It makes sense as banks and insurance companies gather a ton of data and know a lot of information about their customers.


Machine Learning in Medicine — Part II

A hands-on introductory course on machine learning techniques for physicians and healthcare professionals.

Image by Clay Banks from Unsplash

In Part I of this course, we introduced the names of several common machine learning algorithms, such as decision trees, k-nearest neighbors, and neural networks, and discussed how they fit into one another. We proceeded to set up our project by downloading a public domain dataset, the 500 Cities dataset and setting up a JavaScript machine learning library called the DRESS Kit. Next, We went through the data preparation process to extract useful data points from the dataset using several basic functions from the DRESS Kit, including DRESS.local


“Drop first” can hurt your OLS regression model’s interpretability

Read this before you “Drop First”

Consider which category you drop from a one-hot-encoded column, if you care about the interpretability of your model

Photo by Clay Banks on Unsplash


As a student of data science, I recently learned how to model variable interactions using Ordinary Least Squares (OLS) linear regression. It struck me as strange that the common advice to avoid the Dummy Variable Trap when analyzing categorical variables is to simply drop the first column based on the alpha-numeric category labels.

My intuition was that it must matter to some degree which column we choose to drop. And if it does matter, dropping a column because its label comes first seems very arbitrary and not especially scientific.… Read more...

AI in Banking and Insurance: Use Cases

How Artificial Intelligence is transforming the banking and insurance sector.
Guest Blogger: Aruna Pattam, Head – AI & Data Science, Asia Pacific & Middle East, HCL Technologies
Artificial Intelligence (AI) is one technology that’s going to change the way banking and insurance will operate.
Consumers are increasingly turning to digital-only banks, and even the traditional banks have started to offer more online services. It has been predicted that the potential cost savings for banks and insurance firms through AI applications is estimated to be around $450 million.
AI can help streamline their processes, make smarter decisions, and manage customer service requests with fewer resources.… Read more...


JPMorgan Chase will give all clients asking investment advice, not just the wealthiest, the chance to trade cryptocurrency funds, according to Business Insider.

Although clients have been pressing banks for access to crypto through their accounts, JPMorgan would be the first to grant the request.

The bank’s advisors will not be allowed to recommend investments in crypto but will be able to execute purchases and sales if a client requests them. 

Funds approved by the bank for trades include Bitcoin Cash Trust, Grayscale’s Bitcoin Trust, Ethereum Classic, Ethereum Trust, and Osprey Fund Bitcoin Trust, according to an unnamed bank insider cited by BI.


Ending Anonymity: Why The WEF’s Partnership Against Cybercrime Threatens The Future Of Privacy

Amid a series of warnings and simulations in the past year regarding a massive cyber attack that could soon bring down the global financial system, the “information sharing group” of the largest banks and private financial organizations in the United States warned earlier this year that banks “will encounter growing danger” from “converging” nation-state and criminal hackers over the course of 2021 and in the years that follow.

The organization, called the Financial Services Information Sharing and Analysis Center (FS-ISAC), made the claim in its 2021 “Navigating Cyber” report, which assesses the events of 2020 and provides a forecast for the current year.


The basic plan for the Federal Reserve System

The basic plan for the Federal Reserve System was drafted at a secret meeting held in November of 1910 at the private resort of J.P. Morgan on Jekyll Island off the coast of Georgia. Those who attended represented the great financial institutions of Wall Street and, indirectly, Europe as well.

The reason for secrecy was simple. Had it been known that rival factions of the banking community had joined together, the public would have been alerted to the possibility that the bankers were plotting an agreement in restraint of trade—which, of course, is exactly what they were doing.

What emerged was a cartel agreement with five objectives: stop the growing competition from the nation’s newer banks; obtain a franchise to create money out of nothing for the purpose of lending; get control of the reserves of all banks so that the more reckless ones would not be exposed to currency drains and bank runs; get the taxpayer to pick up the cartel’s inevitable losses; and convince Congress that the purpose was to protect the public.… Read more...

Dinero Fiat y Economía Post-Covid

Los inversores han dejado de considerar el valor ‘utilidad’ y se están pasado al valor ‘almacén’. Compran pisos como en China para “guardar” el dinero, no para generar innovación o investigación.

Lo mismo pasa con muchos otros productos: la gente piensa cada vez más en el valor de reventa de las cosas, y menos en el de utilidad.

Esto es consecuencia de la abundancia de dinero fiat al 0%: no hay ningún buen depósito de valor, y todo pasa a considerarse depósito.

El dinero fiat propicia este comportamiento porque ¿quién quiere arriesgar el 100% de una inversión para obtener un 5% de retorno, cuando puedes obtener el 200% de retorno al vender el “boleto” al siguiente que entra a jugar?.… Read more...

Blockchain tech, is it time?

The dot com vision was e-commerce, but the killers came in the form of social and search… In crypto, its still to be seen where the killers are. But I’m not sure it will be crypto money.

Why? Because you need a real ‘crypto economy’ generating value for many people. Then -and only then- some cryptocurrency will emerge to become a global standard. The economy is first, then money emerges out of the economy. Not the other way around.

Without any major crisis this event would be still 10 years in the future. But because of Corona the event is probably here.… Read more...

CBDCs are for the Banks, not for the People

The world has too much debt, which cannot be repaid (actually by design). But growth is too slow to allow governments to cope by inflating away debt service costs.

So they try and trick the people by offering a quick, bank free way of taking on more debt. These are the CBDC (Central Bank Digital Currencies). These digital currencies will still be debt obligations. This time is probably going to boost a new bubble: the new space exploration career.

The ‘Wall of Money’ is coming

A world that is overly indebted doesn’t need more debt to solve their debt problem. Central banks are just using these as ways of keeping banks assets from being defaulted on.… Read more...

Notes on Ripple

Ripple is a real time gross settlement system (RTGS), currency exchange and remittance network. Used by companies such as Santander, Unicredit and UBS. More than 17 banks are using it.Make ...

Lo importante es la imprenta, no la moneda. Los fanáticos del BTC están dominados por la idea libertaria de una moneda puramente digital, alejada del control de los bancos. Pero la verdadera innovación no está en la moneda en si misma, sino en la maquina acuñadora distribuida por todo el mundo que la fabrica y permite transaccionarla. Y eso es la tecnología Blockchain. Internet puso una imprenta en el dedo de cada uno de nosotros. El BTC va a hacer lo mismo con la banca.… Read more...