The Battle Between TradFi and DeFi

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You may have seen numerous articles about decentralized finance (DeFi) and its claims that it will radically change the traditional finance (TradFi) sector. DeFi supporters state that there is a core need for an open, transparent, and secure financial system, and that TradFi simply doesn’t provide that. Essentially, DeFi positions itself as an alternative to the banking system we currently have.

One of the arguments for DeFi is that because it is a blockchain-based concept, it is outside of governmental and regulatory control. This has a strong appeal to those who are concerned about what we have learnt about personal data collection by commercial entities and governments.

DeFi answers the desire for data security and privacy. It also “leverages a set of progressive, agile tools to give control to users,” according to Stably. It also offers features that traditional finance can’t provide, and this makes it an attractive alternative to the current system.

But what are the real differences between DeFi and TradFi? There are three key differences:

  1. In DeFi the public blockchain is the source of trust, whereas in TradFi it is regulatory bodies that are the source of trust.
  2. DeFi is gaining traction because it is open and transparent, and there are fewer barriers to accessing it. The opposite is true of TradFi, especially in terms of the barriers to access, which leaves billions of people unbanked worldwide.
  3. TradFi has its hands tied by regulatory forces, which makes it extremely difficult for its institutions to act with the same agility as DeFi projects.

DeFi’s use cases

There are also three strong use cases for DeFi.

1. Banking

Unlike TradFi, DeFi projects are able to offer banking without borders. TradFi struggles with this, and as mentioned before, this has left billions globally without a banking service. DeFi’s use of blockchain technology overcomes that issue and allows people in developing countries and rmote areas with access to banking via their mobile phone.

2. Circumventing oppressive governments

Oppressive governments are prone to issuing bans and restrictions on financial movement. TradFi can’t offer solutions, but again, because DeFi uses the blockchain and associated tools, it is able to circumvent government restrictions and provide uncensored global financial services.

  • Creative finance

There is a level of creativity in DeFi projects in terms of developing new features and functions. In the past TradFi had a monopoly on financial products, but even those products associated with TradFi can be moved over onto the blockchain, giving DeFi another advantage.

Challenges to overcome

Naturally, while DeFi has advantages, it doesn’t have a clear home run. It also faces challenges.  The biggest one is not hard to identify, and you don’t need to even ask an expert: it is getting the general public to trust the idea of unregulated open-source code. Cryptocurrency doesn’t yet have mass adoption and there is widespread mistrust of it, which bleeds over into the DeFi sector by association. There are fears about hacks amongst other things. Indeed, the DeFi tech is still in its infancy, with much work to be done to make it more trustworthy for a wider audience beyond DeFi fans.

Ultimately, DeFi has a way to go, but it undoubtedly has potential, and certainly as a way to give more people access to banking services. If its works hard on scalability, security and liquidity, it has a real opportunity to replace TradFi.

Siri is witty, but knows her limits!

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Back in 1956, a man called John McCarthy coined the term AI for artificial intelligence. However it is only in recent years that we have personally witnessed the benefits of AI, and its mass scale adoption by larger enterprises. One of the things that has encouraged the use of AI is the need to understand data patterns, because companies want to know much more about their target audience and Ai allows them to gain useful insights into consumer behaviour.

There is much to be gained by understanding AI, including the fact that it is segmented into ‘weak’ and ‘strong’ sectors.

WEAK AI
Weak AI is also known as Narrow AI. This covers systems set up to accomplish simple tasks or solve specific problems. Weak AI works according to the rules that are set and is bound by it. However, just because it is labelled ‘weak’ doesn’t mean it is inferior: it is extremely good at the tasks it is made for. Siri is an example of ‘Weak AI. Siri is able t hold conversations, sometimes even quite witty ones, but essentially it operates in a predefined manner. And you can experience its ‘narrowness’ when you try to make it perform a task it is not programmed to do.

Company chatbots are similar. They respond appropriately when customers ask questions, and they are accurate. The AI is even capable of managing situations that are extremely complex, but the intelligence level is restricted to providing solutions to problems that are already programmed into the system.
STRONG AI
As you can imagine, ‘Strong AI’ has much more potential, because it is set up to try to mimic the human brain.  It is so powerful that the actions performed by the system are exactly similar to the actions and decisions of a human being. It also has the understanding power and consciousness.

However, the difficulty lies in defining intelligence accurately. It is almost impossible or highly difficult to determine success or set boundaries to intelligence as far as strong AI is concerned. And that is why people still prefer the ‘weak’ version, because it does not fully encompass intelligence, instead it focuses on completing a particular task it is assigned to complete. As a result it has become tremendously popular in the finance industry.
Finance and AI
The finance industry has benefited more than many by the introduction of AI. It is used in risk assessment, fraud detection, giving financial advice, investment trading, and finance management.

Artificial Intelligence can be used in processes that involve auditing financial transactions, and it can analyse complicated tax changes.

In the future, we may find companies basing business decisions on AI, as well as forecasting consumer behaviour and adapting a business to those changes at a much faster pace.

Artificial Intelligence is going to help people and businesses make smarter decisions, but as always we need to remain mindlful of finding the right balance between humans and machines.

The everyday uses of AI

When it comes to Artificial Intelligence (AI), many of the people I talk to think that it is either something that is coming in the future, or interest in it is limited to geeks. Some see it as a negative tool that will destroy employment for people. And they are surprised when I tell them that they are probably using AI in their everyday lives already — they just aren’t aware that something like a Google search is AI based. And those adverts you keep seeing on social media because one day last week you searched for ‘holidays in the Maldives’ — that’s all down to AI.

Here are some of the everyday uses of AI that you may not be aware of. They have been compiled by 12 experts from Forbes Technology Council.

1. Customer Service

Data analytics and AI help brands anticipate what their customers want and deliver more intelligent customer experiences — better than the old call centre one anyway.

2. Personalised Shopping

When you shop online and you visit a site and look at a product, you may find you suddenly get recommendations for similar products — that’s AI.

3. Protecting Finances

For credit card companies and banks, AI is indispensible, especially in detecting fraudulent activity on your account. It saves all of us from the pain.

4. Drive Safer

You don’t need a self-driving car to use AI. For example, lane-departure warnings, adaptive cruise control and automated emergency braking are all AI functions.

5. Improving Agriculture

Agriculture is an important element of our lives, because we all want and need to eat. AI is improving this important sector with the following examples: satellites scanning farm fields to monitor crop and soil health; machine learning models that track and predict environmental impacts, like droughts; and big data to differentiate between plants and weeds for pesticide control.

6. Our Trust in Information

Trust in information is one of the most critical issues of our current times. We are bombarded with images and articles that we just don’t know if they are telling the truth or not. Experts say that AI will change how we learn and the level of trust we place in information. AI will help us identify the deep fakes and all those methods of sharing ‘fake’ information, and that is very important.

The ways in which we use AI are growing all the time — and if you think you’re not using it, you almost certainly already are.

Who is controlling your financial data?

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A decade ago, and even further back, none of us were aware that our personal data was so valuable. Now, we’ve certainly been made aware that companies are busy collecting as much data about each of us as they can, because the more they know about us, the more power they have over our decision making.

We know that social media channels like Facebook re focused on collecting data about our shopping habits and our political views amongst other things, and that has frightened not a few people, and angered them when they discovered the data was being sold to dark actors behind political lobbying. And while the majority of the public may be being guided by the media towards focusing on social media giants, the banks are busy collecting data about each of us as well.

And, like the social media guys, the banks want to hold on to our data; they don’t want to share it with fintech startups. Because these startups are better positioned to use the data and respond to consumer wants in a faster more flexible way. To that end, there is a battle going on by some of the biggest banks, such as JP Morgan Chase and the Silicon Valley fintechs for possession of data.

Big banks plan to stifle fintech access to data

Nizan Geslevich Packin at Forbes suggests that JP Morgan and Capital One actually have a campaign strategy to control, Silicon Valley fintech startups’ access to consumer financial data. She claims that there is a rising behind-the-scenes tension and “some banks have threatened to block fintech companies’ servers from accessing customer data, in order to improve their customer accounts’ safety and increase consumer protection.” The banks claim that this is in the consumer’s best interests because fintechs “often collect more data than they need, store it insecurely, sell it to third parties, and sometimes also get hacked, exposing account numbers and passwords.” It sounds a lot like political arguments these days, especially in countries with a two-party system, like the USA and UK.

Of course regulation and consumer protection are important; they are two of the cornerstone elements of the financial industry. And yes, cybersecurity is an issue these days, and we should be wary of sharing data with third-parties, but if anyone thinks the banks are occupying the higher moral ground and acting entirely for the benefit of the consumer, then they don’t know banks and bankers that well.

Banks claim to act for the consumer

Banks are acting in their own interest: they are afraid of the fintech newcomers who are currently taking a trickle of their customers, but that could become a major flow.

Not if the banks have their way and find a way to stop the sharing of data. As Nizan says, there are companies like Mint that provide consumers with an aggregated snapshot of their accounts from multiple financial institutions. Without access to the bank data, Mint’s business would collapse. Indeed, most fintechs are reliant on gathering traditional bank data; without it they will not be able to innovate.

The fintechs are not leaving things to chance. They are not waiting for the banks to reduces their access to APIs or stop access altogether. They are looking at technological ways to combat the banks’ blocking technology. And they are lobbying for open banking. This works by allowing fintech companies’ apps to ask consumers for permission to access their accounts, and then requiring that banks abide by that consent.

The battle between the banks and the fintechs is not confined to the USA. In Europe Payment Services Directive II encourages technological developments that disrupt existing businesses by collecting data on savings, spending, wealth management and more.

The struggle continues for control of our data, but has anyone ever asked you what you’d like to do with your financial information and who you are prepared to share it with?