The future of financial technologies depends on AI
Maciej Zieliński
03 Jun 2020
AI has changed the way financial institutions collect and analyze data over the last few years. It has transformed the business environment by challenging companies and creating innovative business models.
In January this year, the Cambridge Centre for Alternative Finance together with the University of Cambridge Judge Business School and the World Economic Forum presented the results of research on the impact of AI on the financial sector. From the responses of 151 institutions from 33 countries, a clear picture of AI as a key business driver emerged. Companies are beginning to see how much potential there is in artificial intelligence - most of the FinTechs surveyed already use it to create new services and products.
Application of AI in financial technologies
One of the most important conclusions drawn from the study is the rapidly changing importance of artificial intelligence in everyday business. Approximately 64% of financial institutions expect to use AI in the next two years in process automation, risk management, customer acquisition and service, as well as the creation of new products. Today, only 16% of companies participating in the survey do so. On the other hand, as many as three quarters of respondents expect that artificial intelligence will be very important in the development of the financial services industry in the short term.
As McKinsey & Company writes in its analysis, "companies that have made the strategic decision to implement AI on a full scale and in key business areas quickly see the value of this decision". They achieve attractive return on investment, grow faster and have much higher margins than companies that do not invest in artificial intelligence.
What exactly can AI help in the world of financial technologies? It enables a faster, more accurate assessment of a potential borrower, at a lower cost, taking into account a wider range of factors; it has enormous processing power and helps manage both structured and unstructured data; it is very effective in preventing credit card fraud and relieving customer service centres by powering smart chatbots. And these are just a few examples of how artificial intelligence can streamline your daily business.
Practical applications of artificial intelligence
One of the companies that already take advantage of AI is Underwrite.ai, which processes thousands of data to assess credit risk for people and companies applying for loans. Traditionally, analyses are impractically expensive and too slow to be used effectively in financial institutions in real time. By using artificial intelligence, this process has been optimized so that advanced credit analysis can be used without unnecessary time and large investments.
Examples of revolutionary applications of artificial intelligence in financial technologies can be multiplied. One of them is Kavout, an investment platform using AI to process huge sets of unstructured data and identify patterns in real time in financial markets. Another, Ayasdi uses existing data sets to help financial institutions detect mortgage fraud and money laundering, maximize liquidity and predict customer behaviour.
Another is Kasisto, who also uses AI in his proposed solutions. For financial institutions, a KAI chatbot has been created, which helps to reduce the number of call centres by offering customers self-service solutions and additionally assists in making daily financial decisions.
- Financial institutions need technology that will help them better engage customers and reach new market segments, while building a stronger brand, said Zor Gorelov, CEO of Kasisto, quoted by PR Newswire. - Kasisto is the best AI conversation platform implemented in large banks around the world, working with millions of users in different countries in multiple languages and channels.
Another example, Feedzai, helps banks manage risk by monitoring transactions and alerting customers in case of suspicious changes in payment behaviour before processing payments. Feedzai has established cooperation with Citibank among others.
The Simundyne platform can also be an interesting example. It allows for quick and safe simulations, which allow for testing an unlimited number of scenarios in a safe environment.
- After several years of consultations about virtual reality simulation and risk modeling conducted with many global institutions, I realized that traditional modeling methods are no longer up to date - admitted Justin Lyon, CEO of Symudyne, in an interview with MarketsMedia, explaining what prompted him to create the platform. - They do not capture the complexity of real systems and cannot effectively use the enormous power of technology and large data sets.
The Cambridge Centre for Alternative Finance study showed that although technology is a key element of further progress, it does not stand in the way of mass deployment of artificial intelligence. Existing solutions for years have still not been implemented by many companies dealing with financial services on a daily basis, which is attributed to obstacles in the form of lack of trust, complicated regulations and large amount of needed data. Artificial Intelligence can help you to take your business to the next level of sophistication and fully exploit its potential.
What is Berachain? 🐻 ⛓️ + Proof-of-Liquidity Explained
Karolina
18 Mar 2024
Enter Berachain: a high-performance, EVM-compatible blockchain that is set to redefine the landscape of decentralized applications (dApps) and blockchain services. Built on the innovative Proof-of-Liquidity consensus and leveraging the robust Polaris framework alongside the CometBFT consensus engine, Berachain is poised to offer an unprecedented blend of efficiency, security, and user-centric benefits. Let's dive into what makes it a groundbreaking development in the blockchain ecosystem.
Berachain is an EVM-compatible Layer 1 (L1) blockchain that stands out through its adoption of the Proof-of-Liquidity (PoL) consensus mechanism. Designed to address the critical challenges faced by decentralized networks. It introduces a cutting-edge approach to blockchain governance and operations.
Key Features
High-performance Capabilities. Berachain is engineered for speed and scalability, catering to the growing demand for efficient blockchain solutions.
EVM Compatibility. It supports all Ethereum tooling, operations, and smart contract languages, making it a seamless transition for developers and projects from the Ethereum ecosystem.
Proof-of-Liquidity.This novel consensus mechanism focuses on building liquidity, decentralizing stake, and aligning the interests of validators and protocol developers.
EVM compatibility means a blockchain can interact with Ethereum's ecosystem to some extent. It can interact supporting its smart contracts and tools but not replicating the entire EVM environment.
EVM-Equivalent
An EVM-equivalent blockchain, on the other hand, aims to fully replicate Ethereum's environment. It ensures complete compatibility and a smooth transition for developers and users alike.
Berachain's Position
Berachain can be considered an "EVM-equivalent-plus" blockchain. It supports all Ethereum operations, tooling, and additional functionalities that optimize for its unique Proof-of-Liquidity and abstracted use cases.
Berachain Modular First Approach
At the heart of Berachain's development philosophy is the Polaris EVM framework. It's a testament to the blockchain's commitment to modularity and flexibility. This approach allows for the easy separation of the EVM runtime layer, ensuring that Berachain can adapt and evolve without compromising on performance or security.
Proof Of Liquidity Overview
High-Level Model Objectives
Systemically Build Liquidity. By enhancing trading efficiency, price stability, and network growth, Berachain aims to foster a thriving ecosystem of decentralized applications.
Solve Stake Centralization. The PoL consensus works to distribute stake more evenly across the network, preventing monopolization and ensuring a decentralized, secure blockchain.
Align Protocols and Validators. Berachain encourages a symbiotic relationship between validators and the broader protocol ecosystem.
Proof-of-Liquidity vs Proof-of-Stake
Unlike traditional Proof of Stake (PoS), which often leads to stake centralization and reduced liquidity, Proof of Liquidity (PoL) introduces mechanisms to incentivize liquidity provision and ensure a fairer, more decentralized network. Berachain separates the governance token (BGT) from the chain's gas token (BERA) and incentives liquidity through BEX pools. Berachain's PoL aims to overcome the limitations of PoS, fostering a more secure and user-centric blockchain.
Berachain EVM and Modular Approach
Polaris EVM
Polaris EVM is the cornerstone of Berachain's EVM compatibility, offering developers an enhanced environment for smart contract execution that includes stateful precompiles and custom modules. This framework ensures that Berachain not only meets but exceeds the capabilities of the traditional Ethereum Virtual Machine.
CometBFT
The CometBFT consensus engine underpins Berachain's network, providing a secure and efficient mechanism for transaction verification and block production. By leveraging the principles of Byzantine fault tolerance (BFT), CometBFT ensures the integrity and resilience of the Berachain blockchain.
Conclusion
Berachain represents a significant leap forward in blockchain technology, combining the best of Ethereum's ecosystem with innovative consensus mechanisms and a modular development approach. As the blockchain landscape continues to evolve, Berachain stands out as a promising platform for developers, users, and validators alike, offering a scalable, efficient, and inclusive environment for decentralized applications and services.
Resources
For those interested in exploring further, a wealth of resources is available, including the Berachain documentation, GitHub repository, and community forums. It offers a compelling vision for the future of blockchain technology, marked by efficiency, security, and community-driven innovation.
FAQ
How is Berachain different?
It integrates Proof-of-Liquidity to address stake centralization and enhance liquidity, setting it apart from other blockchains.
Is Berachain EVM-compatible?
Yes, it supports Ethereum's tooling and smart contract languages, facilitating easy migration of dApps.
Can it handle high transaction volumes?
Yes, thanks to the Polaris framework and CometBFT consensus engine, it's built for scalability and high throughput.
As simple as it may sound, the decision on the release schedule of tokens is anything but that. It's a strategic choice that can have significant consequences. A well-thought-out token release schedule can prevent market flooding, encourage steady growth, and foster trust in the project. Conversely, a poorly designed schedule may lead to rapid devaluation or loss of investor confidence.
In this article, we will explore the various token release schedules that blockchain projects may adopt. Each type comes with its own set of characteristics, challenges, and strategic benefits. From the straightforwardness of linear schedules to the incentive-driven dynamic releases, understanding these mechanisms is crucial for all crypto founders.
The linear token release schedule is perhaps the most straightforward approach to token distribution. As the name suggests, tokens are released at a constant rate over a specified period until all tokens are fully vested. This approach is favored for its simplicity and ease of understanding, which can be an attractive feature for investors and project teams alike.
Characteristics
Predictability: The linear model provides a clear and predictable schedule that stakeholders can rely on. This transparency is often appreciated as it removes any uncertainty regarding when tokens will be available.
Implementation Simplicity: With no complex rules or conditions, a linear release schedule is relatively easy to implement and manage. It avoids the need for intricate smart contract programming or ongoing adjustments.
Neutral Incentives: There is no explicit incentive for early investment or late participation. Each stakeholder is treated equally, regardless of when they enter the project. This can be perceived as a fair distribution method, as it does not disproportionately reward any particular group.
Implications
Capital Dilution Risk: Since tokens are released continuously at the same rate, there's a potential risk that the influx of new tokens into the market could dilute the value, particularly if demand doesn't keep pace with the supply.
Attracting Continuous Capital Inflow: A linear schedule may face challenges in attracting new investors over time. Without the incentive of increasing rewards or scarcity over time, sustaining investor interest solely based on project performance can be a test of the project's inherent value and market demand.
Neutral Impact on Project Commitment: The lack of timing-based incentives means that commitment to the project may not be influenced by the release schedule. The focus is instead placed on the project's progress and delivery on its roadmap.
In summary, a linear token release schedule offers a no-frills, equal-footing approach to token distribution. While its simplicity is a strength, it can also be a limitation, lacking the strategic incentives that other models offer. In the next sections, we will compare this to other, more dynamic schedules that aim to provide additional strategic advantages.
Growing Token Release Schedule
A growing token release schedule turns the dial up on token distribution as time progresses. This schedule is designed to increase the number of tokens released to the market or to stakeholders with each passing period. This approach can often be associated with incentivizing the sustained growth of the project by rewarding long-term holders.
Characteristics
Incentivized Patience: A growing token release schedule encourages stakeholders to remain invested in the project for longer periods, as the reward increases over time. This can be particularly appealing to long-term investors who are looking to maximize their gains.
Community Reaction: Such a schedule may draw criticism from those who prefer immediate, high rewards and may be viewed as unfairly penalizing early adopters who receive fewer tokens compared to those who join later. The challenge is to balance the narrative to maintain community support.
Delayed Advantage: There is a delayed gratification aspect to this schedule. Early investors might not see an immediate substantial benefit, but they are part of a strategy that aims to increase value over time, aligning with the project’s growth.
Implications
Sustained Capital Inflow: By offering higher rewards later, a project can potentially sustain and even increase its capital inflow as the project matures. This can be especially useful in supporting long-term development and operational goals.
Potential for Late-Stage Interest: As the reward for holding tokens grows over time, it may attract new investors down the line, drawn by the prospect of higher yields. This can help to maintain a steady interest in the project throughout its lifecycle.
Balancing Perception and Reality: Managing the community's expectations is vital. The notion that early participants are at a disadvantage must be addressed through clear communication about the long-term vision and benefits.
In contrast to a linear schedule, a growing token release schedule adds a strategic twist that favors the longevity of stakeholder engagement. It's a model that can create a solid foundation for future growth but requires careful communication and management to keep stakeholders satisfied. Up next, we will look at the shrinking token release schedule, which applies an opposite approach to distribution.
Shrinking Token Release Schedule
The shrinking token release schedule is characterized by a decrease in the number of tokens released as time goes on. This type of schedule is intended to create a sense of urgency and reward early participants with higher initial payouts.
Characteristics
Early Bird Incentives: The shrinking schedule is crafted to reward the earliest adopters the most, offering them a larger share of tokens initially. This creates a compelling case for getting involved early in the project's lifecycle.
Fear of Missing Out (FOMO): This approach capitalizes on the FOMO effect, incentivizing potential investors to buy in early to maximize their rewards before the release rate decreases.
Decreased Inflation Over Time: As fewer tokens are released into circulation later on, the potential inflationary pressure on the token's value is reduced. This can be an attractive feature for investors concerned about long-term value erosion.
Implications
Stimulating Early Adoption: By offering more tokens earlier, projects may see a surge in initial capital inflow, providing the necessary funds to kickstart development and fuel early-stage growth.
Risk of Decreased Late-Stage Incentives: As the reward diminishes over time, there's a risk that new investors may be less inclined to participate, potentially impacting the project's ability to attract capital in its later stages.
Market Perception and Price Dynamics: The market must understand that the shrinking release rate is a deliberate strategy to encourage early investment and sustain the token's value over time. However, this can lead to challenges in maintaining interest as the release rate slows, requiring additional value propositions.
A shrinking token release schedule offers an interesting dynamic for projects seeking to capitalize on early market excitement. While it can generate significant early support, the challenge lies in maintaining momentum as the reward potential decreases. This necessitates a robust project foundation and continued delivery of milestones to retain stakeholder interest.
Dynamic Token Release Schedule
A dynamic token release schedule represents a flexible and adaptive approach to token distribution. Unlike static models, this schedule can adjust the rate of token release based on specific criteria. Example criteria are: project’s milestones, market conditions, or the behavior of token holders. This responsiveness is designed to offer a balanced strategy that can react to the project's needs in real-time.
Characteristics
Adaptability: The most significant advantage of a dynamic schedule is its ability to adapt to changing circumstances. This can include varying the release rate to match market demand, project development stages, or other critical factors.
Risk Management: By adjusting the flow of tokens in response to market conditions, a dynamic schedule can help mitigate certain risks. For example: inflation, token price volatility, and the impact of market manipulation.
Stakeholder Alignment: This schedule can be structured to align incentives with the project's goals. This means rewarding behaviors that contribute to project's longevity, such as holding tokens for certain periods or participating in governance.
Implications
Balancing Supply and Demand: A dynamic token release can fine-tune the supply to match demand, aiming to stabilize the token price. This can be particularly effective in avoiding the boom-and-bust cycles that plague many cryptocurrency projects.
Investor Engagement: The flexibility of a dynamic schedule keeps investors engaged, as the potential for reward can change in line with project milestones and success markers, maintaining a sense of involvement and investment in the project’s progression.
Complexity and Communication: The intricate nature of a dynamic schedule requires clear and transparent communication with stakeholders to ensure understanding of the system. The complexity also demands robust technical implementation to execute the varying release strategies effectively.
Dynamic token release schedule is a sophisticated tool that, when used judiciously, offers great flexibility in navigating unpredictable crypto markets. It requires a careful balance of anticipation, reaction, and communication but also gives opportunity to foster project’s growth.
Conclusion
A linear token release schedule is the epitome of simplicity and fairness, offering a steady and predictable path. The growing schedule promotes long-term investment and project loyalty, potentially leading to sustained growth. In contrast, the shrinking schedule seeks to capitalize on the enthusiasm of early adopters, fostering a vibrant initial ecosystem. Lastly, the dynamic schedule stands out for its intelligent adaptability, aiming to strike a balance between various stakeholder interests and market forces.
The choice of token release schedule should not be made in isolation; it must consider the project's goals, the nature of its community, the volatility of the market, and the overarching vision of the creators.
FAQ
What are the different token release schedules?
Linear, growing, shrinking, and dynamic schedules.
How does a linear token release schedule work?
Releases tokens at a constant rate over a specified period.
What is the goal of a shrinking token release schedule?
Rewards early adopters with more tokens and decreases over time.
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