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Stay ahead of innovation: TAMGA services and technologies

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Over the past decade, digital technologies have significantly changed not only the landscape of the financial sector, but also everyone’s experience. It’s easy to assume that even more rapid development of the industry lies ahead. What to expect from the FinTech of the future and what technologies will drive the financial services market in the coming years, read in today’s article.

Biometric identification  

Biometric identification technologies have long been an important part of IT solutions and a handy tool for a wide range of tasks in many industries. Currently, the global market for biometric systems actively uses technologies based on the recognition of fingerprints, faces, irises, voice, vein pattern, hand geometry and even DNA. 

At the same time, according to FindBiometrics’ forecasts, the market for biometric identification systems will grow most actively in the commercial segment over the next 5-7 years, particularly in the financial industry, where biometric payments have already become common practice.

For example, in addition to classic fingerprint identification, the financial market is actively testing voice recognition systems. The online lending service Szybka Gotówka has not only introduced biometric identification of customers based on their faces, but also uses scoring based on customer behavior.

Big data

One of the important consequences of the era of total digitization is the digital footprint that almost all our activities leave on the network. As a consequence, the amount of information and data is growing exponentially, and processing them “classically” is becoming impossible. At this “stage”, Big Data technologies enter, which are able to handle the analysis of data arrays that are not susceptible to the methods of traditional analytics.

Basically, Big Data is a technology that allows processing and analysis of large amounts of different sets of information, both structured and unstructured. Artificial intelligence (AI) and machine learning algorithms are used for such analysis. One of the clearest examples of Big Data analysis in literally minutes is modern scoring. The Szybka Gotówka scoring system developed by TAMGA, based on Big Data and machine learning algorithms, analyzes a potential customer using more than 1,500 different parameters in a matter of minutes. In addition to credit history, data for the score is taken from social media, marketing channels and other public sources.

Big Data technology allows the system to process the massive amounts of data it receives in seconds. Machine learning, meanwhile, allows the scoring system to continuously improve, constantly improving the accuracy of a customer’s credit score.

Open Banking

It will not be an exaggeration to say that the historic regulation, which created the possibility for third parties to access a user’s banking data with their consent and became mandatory for European banks with the coming into force of the EU’s PSD2 (Payment Services 2) directive in 2016, ushered in a new financial era – the era of Open Banking. 

As a result of the directive’s coming into force, banks, along with other market participants, now have the ability to provide access to their infrastructure through APIs (Application Programming Interfaces) to third parties such as FinTech companies, marketplaces, e-commerce or IT companies. In general, Open Banking will be trendy in the coming years, not only in the IT and financial segments, but in any business where quick funds turnover is important. However, it is traditionally the financial industry that is driving the spread of Open Banking. 

For example, TAMGA’s online verification and transaction analysis service Wurmie uses a two-factor authentication method: API keys and IP whitelist in the process of user identification and credit risk analysis.

Baas

Another progressive technology that has had the greatest impact on user experience is BaaS (Banking as a Service). In practice, BaaS is the provision of banking services through third parties. Through APIs, companies outside the financial industry gain access to the financial infrastructure owned by banks, or FinTech, and provide services based on it. What this means for end users is that now you don’t have to switch between applications, but can meet all your financial needs in one comprehensive solution. A great example of the use of BaaS technology in practice is the online lending service Szybka Gotówka, which makes it possible not only to take out a microloan in a few minutes, but also, through API integration with third-party payment systems, to pay utilities directly in the application.

The technologies and services listed above are by no means a complete list of modern innovations. However, they are the foundation on which FinTech products of the near future will be built.

The idea of Bigtime Daily landed this engineer cum journalist from a multi-national company to the digital avenue. Matthew brought life to this idea and rendered all that was necessary to create an interactive and attractive platform for the readers. Apart from managing the platform, he also contributes his expertise in business niche.

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Business

Click for Counsel: YesLawyer Wants to Make Lawyers as Accessible as Wi-Fi

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Photo Courtesy of: YesLawyer

Byline: Andi Stark

For many people facing a legal problem, the most difficult part is not understanding their rights but finding a lawyer willing to speak with them in the first place. Long wait times, unclear pricing, and administrative hurdles often delay even the most basic consultations. YesLawyer, an AI-enabled plaintiff firm operating across all 50 states, is testing whether technology can shorten that gap.

Founded in 2024 by 25-year-old entrepreneur Rob Epstein, the platform offers free intake, automated screening, and, in many cases, same-day conversations with licensed attorneys. The idea is simple: reduce the friction between a client’s first request for help and an actual legal discussion. In this interview, Epstein explains how the system works, where artificial intelligence fits into the process, and what problems the company is trying to address in the broader legal system

Q: When you say you want lawyers to be “as accessible as Wi-Fi,” what does that mean in practical terms?

A: It’s a way of describing speed and availability. Someone dealing with a workplace dispute, a serious injury, or an immigration issue should be able to move from an online form or phone call to a real conversation with counsel in hours, not weeks. YesLawyer is structured so that a client begins with a free case evaluation, goes through automated conflict checks and basic screening, and, in many instances, speaks with a lawyer the same day.

Q: How does the process work once someone contacts the platform?

A: We use a structured workflow. It starts with a short questionnaire and an initial conversation to capture basic facts. That information feeds into conflict checks and internal review. The system then proposes a match with a licensed attorney and provides a calendar link for a virtual consultation, often within 24 hours. After the meeting, the client receives a written legal plan outlining next steps, deadlines, and estimated fees.

Q: Where does artificial intelligence fit into that process, and where does it stop?

A: AI is used for organizing and routing information, not for giving legal advice. It helps with conflict checks at scale, case categorization, and structured summaries so attorneys can focus on the substance of the matter. Every consultation is conducted by a licensed lawyer, and all decisions about strategy or next steps are made by humans.

Q: What problem is this model trying to solve in the current legal system?

A: Delay and cost are still major barriers. Many civil plaintiffs face long waits just to get a first appointment, along with high retainers and hourly billing that make early legal advice risky. We try to respond with faster consultations, flat-fee options, and financing. The idea is to remove administrative friction so lawyers spend less time on logistics and more time speaking with clients.

Q: Some critics say platforms like this blur the line between a technology company and a law firm. How do you describe YesLawyer?

A: We describe ourselves as a national, AI-enabled plaintiff firm that connects clients with independent attorneys. That structure does raise regulatory questions, especially around responsibility and oversight. We focus on licensing verification, attorney-written case plans, and clear communication about fees and services.

Q: You’ve said the main bottleneck is “systems” rather than people. What do you mean by that?

A: The issue isn’t that lawyers don’t want to help more people. It’s that the systems around them make it hard to scale their time. Intake, scheduling, and document handling take hours. Automating those parts means attorneys can handle more matters without being overwhelmed by repetitive tasks.

Q: Does this model risk favoring only the most profitable cases?

A: That’s a real concern in legal technology. Automation often works best for repeatable, high-volume disputes. Our view is that lowering administrative cost can actually make it easier to take on smaller or more complex cases that might otherwise be turned away. Whether that holds over time depends on the data.

Measuring Impact Over Time

YesLawyer’s attempt to compress the timeline between inquiry and consultation reflects broader changes in how legal services are being delivered. As artificial intelligence becomes more common in administrative work, firms are experimenting with new ways to reduce wait times and clarify costs.

The company’s early growth suggests that many clients value faster access to an initial conversation, even before considering long-term representation. Whether this platform-based model becomes widely adopted or remains one of several emerging approaches will depend on regulatory developments, lawyer participation, and measurable outcomes for clients. For now, YesLawyer’s experiment highlights a central question in modern legal practice: how quickly can help realistically be made available to the people who need it.

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