The Connector Podcast - FinanceX #11 - Learning all about new Technologies and AI

Hey everyone, welcome. Buckle up because we're diving headfirst into the future, specifically German fintech and banking as we head towards 2025.

And get this, our roadmap for this fast-track exploration is this, this incredibly dense edition of Finance X Magazine.

It really is packed, but that's kind of the point, right? Think of this deep dive as your express lane to getting up to speed on what truly matters in this ever-changing world of finance and tech.

Yeah, you know, one of the first things that hit me when I started digging into this FinanceX edition is just how much territory it covers. It's pretty impressive, really.

Absolutely. We're talking about the expanding influence of AI on how we lend and borrow, the considerable shakeup from those new regulations like DORA, the constant back and forth between traditional banks and those super agile fintech innovators.

And yeah, and even a glimpse into some really fascinating tech on the horizon, things like this verifiable LEI. You know, it's a pretty comprehensive snapshot of where things stand right now.

No kidding. And within this single source, you've got in-depth articles breaking down the hottest trends, predictions from experts about what's around the corner, and deep dives that really unpack some pretty complicated shifts in the industry.

A lot to digest. Yeah.

It is. And that's where we come in. Our mission today is to sift through it all and extract those vital nuggets of insight for you, the learner, so that you can, well, grasp those essential developments without needing to sort through mountains of info on your own.

Because let's be honest, the pace of change in financial tech can feel pretty overwhelming at times.

Right, it's a firehose of information. So let's break it down together and make some sense of it all.

Sounds good. Maybe a good starting point is to zoom in on the German fintech and banking scene specifically as we look towards 2025. It's a particularly fascinating time to be looking at that market.

Totally agree. And right off the bat, the report acknowledges that, you know, Germany hasn't exactly been immune to some of the, those recent economic headwinds.

You know, the kind of lingering effects of the pandemic, those, those pretty major geopolitical tensions, inflation doing its thing, and overall slower growth. Definitely been a period of adjustment.

It has. But here's where it gets interesting, and this is something the report really highlights. They call it a historic policy shift, which, well, that sounds pretty significant.

It is. We're talking about a substantial, like a really substantial EUR $1 trillion investment package that got the green light from the German parliament. So, if we step back and look at the bigger picture, you know, this isn't just about putting a band-aid on a few issues; it's a strategic move to invest in the future of the country's economy.

No doubt, that level of investment is bound to send ripples through every sector. But when you think about it, it's especially relevant when we're talking about expanding digital infrastructure and those— streamlining those e-government processes.

Right. Right. And you can see how that creates a pretty fertile ground for innovation in financial services.

100%. And, you know, the report doesn't shy away from pointing out some of the, those ongoing challenges within the, well, the more traditional dream in banking sector.

Yeah, they talk about how there's still a lot of pressure to cut costs and this persistent issue with IT system efficiency.

Which, let's be honest, a lot of that boils down to the reliance on those, those older, those tried and true systems that have been around for decades.

Right. Those systems that are like the bedrock of the industry, but also well, sometimes the biggest obstacle to progress. Like you said, tried and true, but not always nimble.

Exactly. But here's the interesting thing. Against this backdrop of, you know, economic challenges and those legacy systems, the German fintech sector has actually shown some pretty incredible resilience.

Yeah, the numbers speak for themselves. Startup funding in that space actually climbed in 2024 to a cool $8.2 billion, which is a You have a 4% jump from the previous year. That's pretty impressive.

It is. And the report kind of reinforces Berlin and Frankfurt as these, these really well-established hubs for fintech activity. They're attracting some serious capital in areas that are really key: AI solutions, what they're calling embedded finance, and the development of new banking software.

You know, you take all that together and it paints a picture of, of real underlying strength. Despite those broader economic challenges.

Definitely a sector to watch for sure. Now, you can't really talk about finance in Germany or really anywhere without bringing up regulation.

Oh yeah, absolutely. And Germany, as you know, is well known for having a particularly robust, shall we say, financial regulatory environment.

Right. BaFin, the German Federal Financial Supervisory Authority, doesn't mess around. They keep a close watch on things.

They do. And that brings up a really important point. How does this, you know, this strong regulatory environment, affect fintech companies, those newcomers trying to shake things up.

Right. Are they welcomed with open arms or is it more of a, you know, prove yourself first kind of situation?

Well, the report points out that those strict compliance standards, those, those really rigorous rules around things like anti-money laundering, data protection, and getting those, those often incredibly complex banking licenses, it can be a real uphill battle for newer companies.

Yeah, it sounds like it demands a pretty high level of operational discipline right out of the gate.

No kidding. And it's not just about navigating the national rules either. Those EU regulations, those are having a big impact too.

Yeah, particularly the Digital Operational Resilience Act, or DORA, right?

Right, DORA. So think of DORA as, it's like requiring financial institutions and their tech providers to have these incredibly robust defenses and recovery plans in place if there's a digital disruption.

So kind of like a really well-rehearsed fire drill, but instead of for an actual fire, it's for cyber incidents.

Exactly. And meeting those requirements, according to the report, it's a pretty substantial undertaking. And it sounds like sometimes the specifics can feel, well, a bit unclear, you know?

Yeah, like what exactly do we need to do here? But if we zoom out a bit and look at the bigger picture, while the strict regulation can definitely be a hurdle initially, you know, in terms of the cost and the effort of actually becoming compliant—

Oh yeah, it can feel like jumping through a lot of hoops.

It can, but it also has a pretty considerable upside. Obtaining a German license or Even just serving clients who are licensed there, it's seen as a real, like a real gold standard of credibility.

Yeah, it's like a globally recognized stamp of approval.

It is. And that can be incredibly valuable for a company, especially if they're thinking about expanding internationally. Okay, so we've talked about the regulatory landscape, those economic challenges and opportunities, but what about the people at the heart of all of this? What does the report say about German consumers themselves and how they approach digital finance?

Right, right. So the report paints this picture of a consumer base that tends to be fairly risk-averse.

Okay, so a bit more cautious than some other markets.

Yeah, exactly. And generally a bit more hesitant when it comes to using those digital financial services.

So slower to adopt things like fully digital banking then?

Yeah, if you compare it to some other European countries. And even things like their continued preference for using cash and definitely slower uptake of of cryptocurrencies.

Interesting. Do they give any insights into why that might be?

They do. It seems like a few factors are at play. The aging population is definitely part of it, but also some significant concerns around data privacy, the transparency of those digital services, and overall security.

Makes sense. People want to know their information is safe and that the systems they're using are reliable. So, this is crucial for companies, right? Especially those targeting consumers directly in Germany.

Absolutely. Building trust is, well, it's absolutely paramount. But here's the interesting flip side. Once a company manages to actually earn that trust with a German consumer, they're known for being incredibly loyal.

So, it's a higher bar to clear initially, but if you can do it, the long-term payoff can be pretty significant.

Yeah, it's like they're saying, show us you're trustworthy, and we'll stick with you.

Okay, so, big picture, what does all of this mean for companies that are You know, those that really want to succeed in the German fintech and banking market. Any key takeaways from the report?

Yeah, it seems like the message is pretty clear. Success in Germany requires a deep, deep understanding of the market's nuances. You know, it's not a one-size-fits-all kind of thing.

Right. You need to tailor your approach.

Exactly. A well-thought-out strategic plan, a solid grasp of the regulatory environment, and those, those specific behaviors and preferences of German consumers. There's, there's really no way around that.

No shortcuts to success there. All right, let's switch gears a bit and look at another major theme the Finance X edition highlights, the rising role of artificial intelligence in lending. There's this article, Code, Credit, and Customers, which kind of, I guess it sums it up pretty well.

It does, yeah. And right from the start, they kind of take us on this quick journey through how AI and machine learning have been slowly making their way into the lending space.

Okay, so starting with those early fintech trailblazers and now Well, now it's kind of spreading to those more established players too.

Right. And the report suggests that these technologies, they've, they've really reached this point of maturity where they're enabling lenders to get unprecedented insights and operational efficiencies, which is a pretty bold statement.

It is. But it also suggests that AI is no longer just some experimental thing in lending. It's, it's becoming pretty integral.

Oh yeah, for sure.

So where specifically is it having the biggest impact right now? Where are they using AI in the lending process?

Well, they highlight a few key applications. First up, there's what they call enhanced underwriting. So think of it like this: AI can analyze this, this much wider set of data points than traditional methods.

Okay, so not just your typical credit score.

Right. They're looking at things like your transaction history, even stuff like even your activity on social media.

Wow, social media. That's interesting.

It is. So, you know, imagine this: traditional underwriting, it's kind of like looking at your report card to see how good of a student you are. AI can look at your report card, but then it can also peek at your social media and even see how often you pay your phone bill on time.

So, building a much more complete picture of how you handle your finances.

Exactly. It's about getting a more holistic view, which, in theory, leads to more accurate risk assessments.

That makes sense. More data, better decisions, hopefully. So, what else are they using AI for in lending?

Okay, so building on that idea of a, of a more comprehensive assessment, There's real-time risk assessment. So AI is not just used for that initial evaluation, it's constantly monitoring things.

Okay, so keeping an eye on how things change, like if a borrower's circumstances change or if something happens in the market?

Yeah, exactly. It gives lenders the ability to react much faster to, to any shifts in risk. And then another big area is fraud detection.

Which makes sense, right? I mean, AI is already used for fraud detection in other areas.

Right. And in lending, it's using those really complex machine learning algorithms to spot those subtle patterns that might suggest fraudulent activity.

Patterns that a human analyst might miss.

Exactly. And then, of course, there's the customer-facing side of things.

Oh, right. Making the experience better for the borrower.

Yeah. Customer personalization, they call it. Basically, AI is analyzing data to recommend specific financial products, maybe suggest certain interest rates, or even tailor loan terms.

Okay. So really customizing the experience for each individual borrower.

Right. It's all about finding the best fit. And the report dives into some of the, those bigger picture advantages that AI is bringing to the lending industry too, both for the lenders and the borrowers.

Okay, let's break those down. What are the main benefits they're highlighting for lenders?

Well, improved risk management is a big one. I mean, by processing massive amounts of data, AI can, you know, it can help lenders make those credit assessments much more accurate. And that leads to, well, ideally lower default rates.

Makes sense. Lenders want to minimize their risk, of course. What else?

Operational efficiency is huge. Automating processes through AI can drastically cut down the time it takes to process those loans, and it can also lower those overall costs.

I imagine that's a pretty appealing prospect for any lender.

Oh, yeah. And there's a real-world example they give across Riverbank. They used AI to really speed up those PPP loan approvals during the pandemic.

Oh, right. Those loans were a lifeline for so many businesses.

They were. So, yeah, it was a pretty powerful example of how AI can be used to make a real difference. And fraud prevention, which we touched on, that's another key benefit. Minimizing those losses by using AI to catch things that might otherwise slip through the cracks. And then, of course, personalized experiences.

Right. Making customers feel like they're more than just a number.

Exactly. Tailoring those offerings can lead to, you know, Better conversion rates, more people actually taking out loans, and building trust.

So, AI in lending, it's definitely not just a passing fad, is it? What's the overall outlook? What do they say about the future of this tech in finance?

Well, they're pretty clear. The entire industry is moving towards this data-driven approach. The numbers back it up too. Back in 2021, the global market for AI in fintech, it was valued at Let me see, $9.45 billion.

That's already a pretty substantial market.

Oh yeah. And the projections are for it to grow at like a pretty rapid pace, a 16.5% annual growth rate all the way through 2030.

Wow. That's, that's a huge growth forecast. So within that growth, what specific trends do they expect to see? What's coming next for AI in lending?

Well, they highlight a few key trends. One is the continued advancement of predictive analytics. Essentially, those AI models are going to get even smarter at figuring out how borrowers are likely to behave and then predicting those potential credit risks even more accurately.

Okay, so even better at assessing risk. What else?

Then there's this growing need for what they call explainable AI or xAI.

Explainable AI. So basically being able to understand how the AI is making its decisions.

Right. As regulators start paying more attention to, you know, to how AI is being used in these financial decisions, lenders need to be able to understand and justify how those AI-driven decisions are being made.

It's like, AI, show your work, right? Explain your reasoning.

Exactly. Transparency is becoming essential. And then, lastly, they touch on the potential for AI to start integrating with other emerging tech— things like quantum computing and blockchain.

Now, those are some serious next-level technologies.

They are. But the idea is that this convergence could lead to, well, to even more secure and efficient lending processes in the future.

Definitely exciting to think about the possibilities there. Okay, let's move on to something that, well, it's kind of presented as a battle in the Finance Expedition. They have this section called The Banking War: Legacy Versus Innovation.

Yeah, it's a pretty dramatic title, but it does capture this, this really fundamental tension that's playing out in the banking world right now. It's that clash between those, those well-established institutions with their, their long history and systems, and then those, those agile, you know, innovation-driven fintech companies that are, that are shaking things up.

Right. Those disruptors. And what are the main forces driving this push for modernization, this, this so-called banking war?

Well, it's pretty clear. It's automation, artificial intelligence, and just this overall push towards digitization. It's about doing things faster, smarter, more efficiently.

And what are the goals of this modernization? What are they trying to achieve?

The report highlights a few key things: greater efficiency and speed in their operations, of course, a much stronger focus on, on really designing their services around the needs of the customer.

So making things easier and more user-friendly for the people actually using these services.

Exactly. And robust security and compliance measures are essential too. And, and there's this acknowledgment that this, this whole transformation, it can't happen overnight. It needs to be a well-managed evolution, not a revolution.

Right. You can't just rip and replace those core systems that have been in place for decades. It has to be strategic.

Absolutely. And the report, it points out this interesting internal conflict that often exists within these these larger organizations.

Oh, like a clash of cultures almost?

Kind of. So, on one hand, you've got the IT departments, those folks who are, you know, understandably very focused on keeping those existing systems stable and reliable. But then on the other hand, you've got those executive teams who are, you know, they're pushing for greater agility, faster adoption of these new innovations.

So, trying to find that balance between, you know, keeping the lights on and moving forward at the same time, a tough spot to be in.

It is. And the article then kind of dives into what they call the stronghold of the past, which is, well, those legacy IT systems.

Right. Those systems that have been the backbone of banking operations for so long.

Yeah. And they use this really interesting analogy. They describe them as both fortresses and prisons, which— that's a pretty powerful image.

It is. What do they mean by that?

On the one hand, they're fortresses because they're incredibly resilient, they're stable, they've stood the test of time.

They're reliable, they work.

Exactly. But they're also prisons because they're often very inflexible. It's hard to adapt them to new technologies, new ways of doing things.

So they're holding the bank back from innovating as quickly as they need to.

Yeah. And there are some real challenges with these legacy systems. The report talks about this idea of vanishing keepers.

Vanishing keepers. What do you mean by that?

So basically, the number of experts who truly understand these older mainframe systems, the people who can maintain them, it's shrinking.

Oh, wow. So it's almost like a dying breed, those folks who really know these older systems inside and out?

Right. And then there's this, what they call the integration dilemma. It's this huge difficulty that those legacy systems have in talking to those more modern technologies. You know, things like APIs, those newer digital banks and fintech platforms.

It's like trying to fit a square peg in a round hole.

Exactly. And then there's the cost of transition, which is, well, completely replacing these massive systems is a— it's a monumental undertaking. It's incredibly expensive.

So that's why we see so many banks looking for those, those more incremental solutions, those, those ways to kind of bridge the gap.

Right. It's about finding ways to make those systems work together, at least for now. And then the article kind of shifts focus to what they call the war for the future.

The war for the future. That sounds intense. What are they referring to?

Well, they're really focused on the, the battleground of payments and, and financial transactions in general.

Okay. So how we actually move money around in the digital world.

Right. And that's where innovation is really having the, the most visible impact. They talk about these silent conquerors, which are embedded finance and APIs.

Okay. Those are some pretty powerful forces shaping the future of finance, but what exactly do they mean by silent conquerors?

Well, embedded finance, it's essentially weaving those financial services directly into the products and platforms that we're already using every day.

So it's like it's almost invisible, right? It just happens in the background.

Exactly. And APIs, those are the tools that are making it all possible, allowing different systems to talk to each other seamlessly.

And it's that expectation of a smooth, almost frictionless user experience that people are demanding more and more these days.

Oh, yeah, absolutely. It's all about convenience. And the report talks about phased modernization as a a more practical approach for these established banks. So instead of trying to replace everything all at once, they're focusing on strengthening those existing infrastructures in the short term. And then maybe down the line, they'll make that move to the cloud.

It's like a stepping stone approach. Right.

And then there's the increasing importance of partnerships, collaborations. They call it the strength of alliances.

Oh, so it's not just about banks competing with each other. It's about finding ways to work together. Yeah.

So we're seeing more and more partnerships between banks, regulators, and those fintech companies. And the goal is to establish some common standards for things like regulatory compliance, fraud detection, even infrastructure.

So it's like they're realizing that they're stronger together than they are apart.

Right. They can learn from each other. So big picture, the question the article poses is, who is ultimately winning this so-called banking war?

Yeah, is it a winner-take-all situation, or is there another way?

Well, the report suggests that those banks that will truly succeed, they're not going to be the ones that just, you know, abandon the past completely. It's about finding those effective ways to blend what they're already good at, those existing strengths, with those new innovations.

So evolving, adapting, rather than just starting from scratch.

Right. It's about strategically building on what they've already got. And the key ingredients, they highlight these: phased modernization, collaboration, And maybe above all, adaptability.

So being able to adjust to this, this constantly changing landscape. Okay, so beyond the big picture stuff, the Finance X edition also gives this quick overview of 7 trends to watch in 2025. Some of them are kind of broad technological trends, but a few are super relevant to the financial world.

Oh yeah, for sure.

So beyond the whole AI domination thing, they talk about those, those continued advancements in, in robotics and automation.

Yeah, it's pretty fascinating. And those technologies, they have the potential to bring some major gains in efficiency and safety across different industries.

Right. But how does that actually translate to the financial sector?

Well, think about things like automating some of those back-office processes, maybe enhancing physical security in banks. They even touch on things like autonomous freight services and those humanoid robots being used in manufacturing.

Okay, so not necessarily directly related to finance, but you can see how those developments could have some— Some knock-on effects.

Oh yeah, for sure. And another trend they highlight is the, the move towards 3D chips, which is a pretty interesting development.

3D chips. I'm picturing something straight out of a sci-fi movie.

Kind of.

Yeah.

So the basic idea is that instead of those traditional 2-dimensional chips, they're stacking those, those transistors in 3 dimensions, which allows for a pretty significant increase in processing power and even better energy efficiency.

Okay, so more powerful but using less energy.

Right. And they mentioned Samsung's plans to release a new type of 3D chip in 2025. It's definitely something to watch.

It is because, well, more powerful and energy-efficient processing, that could have huge implications for those complex financial models and even the deployment of those advanced AI applications we were talking about.

Oh yeah, it could really be a game changer. And the last trend in their overview that I think is worth mentioning is The growing need for smart grids.

Smart grids. I've heard that term before, but remind me what that's all about.

So, it's essentially modernizing our electricity infrastructure, those power grids, to keep up with the rising demand from renewables and those sectors that are becoming more and more electrified, like transportation with those electric vehicles and heating with heat pumps.

Okay. So, making those power grids more efficient and adaptable.

Right. And the International Energy Agency, they estimate that we need to build or modernize a mind-boggling 25 million kilometers of those electricity grids in the next 5 years.

Wow. That is a lot of grid.

It is. And it just underscores how critical it is to have a reliable and efficient energy infrastructure, especially for the digital economy, which of course includes the increasingly energy-hungry financial sector.

Makes sense. You can't have a digital revolution without the power to run it. Okay, moving on. Let's talk about something that, well, it sounds pretty futuristic, but the report argues that it's, it's actually crucial for establishing trust in the digital world. The Verifiable LEI, or VLEI.

Yeah, it's, it's presented as something that could really usher in a new era of, of digital trust, which, you know, considering the, the pretty alarming rise in digital crime.

Oh yeah, they're projecting it to hit, uh, I think it was $1.82 trillion by 2028. That's just a staggering amount.

It is. So yeah, the timing for a solution like this, VLEI, it's, it's pretty perfect.

Okay, so what is this VLEI exactly? How is it supposed to tackle this, this growing problem of digital crime and lack of trust online?

So it's described as this decentralized, automated way to, to authenticate and verify the identities of, of legal entities online. You can almost think of it as a digital passport but for organizations and their authorized employees.

Okay, that's an interesting analogy. So, it's not just about proving who you are as an individual, it's about proving which organization you represent and what authority you have to act on their behalf.

Exactly, and that's what makes it so powerful.

Okay, so how does it actually work in practice? What are the, the key components that make it verifiable?

Well, at its core, the VLEI combines an organization's existing identity, which is represented by its Legal Entity Identifier, Oh, right, the LEI.

That's already used in a lot of financial contexts.

Yeah, exactly. So, it takes that established LEI and then it, it combines it with the specific role that an individual holds within that organization. So, it's not just saying, hey, this is Company X, it's saying, this is John Smith and he's authorized to do these specific things on behalf of Company X.

Okay, that's a much more granular and trustworthy way to verify someone's authority in the digital world. And what kind of things can you actually do with a VLEI? What are its capabilities?

Well, digital signing is a big one. So, legal entities and those official representatives, they can use the VLEI to digitally sign documents.

Oh, that could really streamline things like financial reporting and all those legal processes.

Oh yeah, absolutely. And then there's authentication, which is basically confirming that a VLEI is valid. And the cool thing is that this can all be done automatically and cryptographically, which means, well, no more manual checks and a much lower risk of someone trying to impersonate someone else.

So increasing security and efficiency at the same time. Pretty impressive.

It is. And then lastly, there's the concept of permissioning. So an organization can use a VLEI to grant specific authority to its representatives. Like they can give someone access to certain systems or or allow them to perform certain actions, all within a clearly defined scope and timeframe.

Okay, so very tightly controlled access.

Right. And the report highlights how supervisory authorities could use this to, you know, to increase trust in that digitally submitted regulatory information.

Makes sense. You want to know that the information is coming from a legitimate source and that the person submitting it has the authority to do so. So is this VLEI just a concept, or is it actually gaining traction in the real world?

Well, the report emphasizes that the, the whole VLEI ecosystem is, is developing pretty quickly. The fact that VLEI was officially standardized in October 2024, you know, they published the ISO standard 174423. That was a really big step forward.

Okay, so it's officially a thing now. And are there actually organizations issuing these VLEIs?

Yeah, there's this growing number of qualified VLEI issuers, those QVIs, popping up around the world. And some big names are involved too, like the China Financial Certification Authority.

Okay, so it's gaining legitimacy and it's built on a pretty solid foundation too, right?

Exactly. It builds on that existing global LEI system, which was established after the 2008 financial crisis.

Right. And the LEI is already mandated in a lot of financial situations.

It is. And the interesting thing is that they're seeing the use of LEIs and vLEIs expand beyond those initial applications in derivatives and regulatory compliance.

So it's becoming more widely applicable.

Yeah, they're being used more and more in payments, supply chains, ESG reporting, even in that, that emerging Web 3.0 space.

Okay, so it's a technology to keep an eye on for sure. It sounds like it could really change how we establish trust online. Now let's shift gears again and talk about another critical area where technology is having a big impact: the fight against financial crime.

Right. And the Finance X edition. They have this really interesting section on AI meets AML, Reinventing Risk Management Through Public Data. So AML, that stands for anti-money laundering.

Right. And the article, it really emphasizes those significant challenges that financial institutions face in dealing with things like fraud, money laundering, sanctions evasion, and just the overall risk of damage to their reputation.

Yeah, that's the ever-present fear for these institutions. And the report points to screening public information as this really crucial strategy for strengthening those due diligence processes.

Oh, okay. So public information, that's stuff like news articles, court records, company filings, all that kind of thing, right?

Right, exactly. All that information that's publicly available.

So why is that kind of screening so important for financial institutions? What are they hoping to find?

Well, it helps them uncover those early warning signs, those red flags that might suggest a potential problem. Things like past involvement in fraud or ongoing legal disputes. It could also reveal potential connections to financial crimes.